SPCOMBINE_V5: Log file spDiagcomb-3094-54814.log opened Sat Mar 13 17:56:13 2010 SPCOMBINE_V5: IDL version: x86_64 linux unix linux 6.4 Apr 26 2007 64 64 SPCOMBINE_V5: UNAME: Linux hammer4.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 SPCOMBINE_V5: Plot file spDiagcomb-3094-54814.ps SPCOMBINE_V5: Plan file spPlancomb-3094-54814.par SPCOMBINE_V5: DOCAMS = b1 b2 r1 r2 SPCOMBINE_V5: idlspec2d version NOCVS:v5_3_23 SPCOMBINE_V5: idlutils version v5_3_0 SPCOMBINE_V5: Best exposure = 57237 score = 1.00000 SPCOMBINE_V5: SPFLUX_V5: using flux calibration stars: 3 13 16 19 25 30 38 44 64 89 95 281 SPFLUX_READ_KURUCZ: Fiber 4: Reading Kurucz models SPFLUX_READ_KURUCZ: Fiber 4: Remapping Kurucz models to log-wavelengths SPFLUX_READ_KURUCZ: Fiber 4: Convolving Kurucz models with SDSS pixel size SPFLUX_READ_KURUCZ: Fiber 4: Convolving Kurucz models with dispersions SPFLUX_BESTMODEL: Fiber 4: Best-fit velocity for std star = 11.650306 km/s SPFLUX_BESTMODEL: Fiber 4: Best-fit total chi2/DOF = 1.05083 SPFLUX_BESTMODEL: Fiber 4: Best-fit line chi2/DOF = 1.4774972 SPFLUX_BESTMODEL: Fiber 4: Full median S/N = 12.3507 SPFLUX_BESTMODEL: Fiber 4: Line median S/N = 9.19092 SPFLUX_BESTMODEL: Fiber 14: Best-fit velocity for std star = -11.162954 km/s SPFLUX_BESTMODEL: Fiber 14: Best-fit total chi2/DOF = 0.968669 SPFLUX_BESTMODEL: Fiber 14: Best-fit line chi2/DOF = 1.1047338 SPFLUX_BESTMODEL: Fiber 14: Full median S/N = 12.2116 SPFLUX_BESTMODEL: Fiber 14: Line median S/N = 9.25146 SPFLUX_BESTMODEL: Fiber 17: Best-fit velocity for std star = 13.921812 km/s SPFLUX_BESTMODEL: Fiber 17: Best-fit total chi2/DOF = 0.983134 SPFLUX_BESTMODEL: Fiber 17: Best-fit line chi2/DOF = 1.1873918 SPFLUX_BESTMODEL: Fiber 17: Full median S/N = 12.0042 SPFLUX_BESTMODEL: Fiber 17: Line median S/N = 9.47648 SPFLUX_BESTMODEL: Fiber 20: Best-fit velocity for std star = 11.823237 km/s SPFLUX_BESTMODEL: Fiber 20: Best-fit total chi2/DOF = 0.901769 SPFLUX_BESTMODEL: Fiber 20: Best-fit line chi2/DOF = 1.1467588 SPFLUX_BESTMODEL: Fiber 20: Full median S/N = 16.2416 SPFLUX_BESTMODEL: Fiber 20: Line median S/N = 13.0089 SPFLUX_BESTMODEL: Fiber 26: Best-fit velocity for std star = 11.838958 km/s SPFLUX_BESTMODEL: Fiber 26: Best-fit total chi2/DOF = 1.01063 SPFLUX_BESTMODEL: Fiber 26: Best-fit line chi2/DOF = 1.2408822 SPFLUX_BESTMODEL: Fiber 26: Full median S/N = 12.3706 SPFLUX_BESTMODEL: Fiber 26: Line median S/N = 8.79164 SPFLUX_BESTMODEL: Fiber 31: Best-fit velocity for std star = 1.8675065 km/s SPFLUX_BESTMODEL: Fiber 31: Best-fit total chi2/DOF = 0.874840 SPFLUX_BESTMODEL: Fiber 31: Best-fit line chi2/DOF = 1.4607979 SPFLUX_BESTMODEL: Fiber 31: Full median S/N = 22.7232 SPFLUX_BESTMODEL: Fiber 31: Line median S/N = 18.9904 SPFLUX_BESTMODEL: Fiber 39: Best-fit velocity for std star = 31.417608 km/s SPFLUX_BESTMODEL: Fiber 39: Best-fit total chi2/DOF = 0.939272 SPFLUX_BESTMODEL: Fiber 39: Best-fit line chi2/DOF = 1.1016905 SPFLUX_BESTMODEL: Fiber 39: Full median S/N = 10.7005 SPFLUX_BESTMODEL: Fiber 39: Line median S/N = 6.77755 SPFLUX_BESTMODEL: Fiber 45: Best-fit velocity for std star = -10.167625 km/s SPFLUX_BESTMODEL: Fiber 45: Best-fit total chi2/DOF = 1.08763 SPFLUX_BESTMODEL: Fiber 45: Best-fit line chi2/DOF = 1.5089982 SPFLUX_BESTMODEL: Fiber 45: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 45: Line median S/N = 2.00392 SPFLUX_BESTMODEL: Fiber 65: Best-fit velocity for std star = -13.676270 km/s SPFLUX_BESTMODEL: Fiber 65: Best-fit total chi2/DOF = 0.882658 SPFLUX_BESTMODEL: Fiber 65: Best-fit line chi2/DOF = 1.0780592 SPFLUX_BESTMODEL: Fiber 65: Full median S/N = 14.5930 SPFLUX_BESTMODEL: Fiber 65: Line median S/N = 11.1631 SPFLUX_BESTMODEL: Fiber 90: Best-fit velocity for std star = -8.9055491 km/s SPFLUX_BESTMODEL: Fiber 90: Best-fit total chi2/DOF = 1.04023 SPFLUX_BESTMODEL: Fiber 90: Best-fit line chi2/DOF = 1.5350837 SPFLUX_BESTMODEL: Fiber 90: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 90: Line median S/N = 1.82441 SPFLUX_BESTMODEL: Fiber 96: Best-fit velocity for std star = -74.284182 km/s SPFLUX_BESTMODEL: Fiber 96: Best-fit total chi2/DOF = 0.819640 SPFLUX_BESTMODEL: Fiber 96: Best-fit line chi2/DOF = 1.2320285 SPFLUX_BESTMODEL: Fiber 96: Full median S/N = 18.0619 SPFLUX_BESTMODEL: Fiber 96: Line median S/N = 14.0843 SPFLUX_BESTMODEL: Fiber 282: Best-fit velocity for std star = -13.095441 km/s SPFLUX_BESTMODEL: Fiber 282: Best-fit total chi2/DOF = 0.819251 SPFLUX_BESTMODEL: Fiber 282: Best-fit line chi2/DOF = 1.1229593 SPFLUX_BESTMODEL: Fiber 282: Full median S/N = 19.0508 SPFLUX_BESTMODEL: Fiber 282: Line median S/N = 15.4214 SPFLUX_V5: Warning: Rejecting std star in fiber = 45 with too many IVAR=0 pixels in spFrame-r1-00057237.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 90 with too many IVAR=0 pixels in spFrame-r1-00057237.fits SPFLUX_V5: Iteration # 1 SPFLUX_V5: Rejected 2 of 12 std stars SPFLUX_FITTEMPLATES: spFrame-b1-00057237.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00057237.fits: Min/max fluxcalib = 0.0389899 0.242549 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: HELIO_RV correction of 11.1819 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: HELIO_RV correction of 11.1819 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 0 fit: 88.3820 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.10644 1.12133 0.223720 1.67023 1.42392 0.00000 2.11195 1.73720 1.50747 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 1 fit: 86.9677 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.12971 1.12105 0.239223 1.58623 1.39886 0.318844 2.03535 1.76452 1.57450 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 2 fit: 86.7346 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.14388 1.12091 0.238072 1.56836 1.39670 0.563833 2.00266 1.77953 1.60562 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 3 fit: 86.6483 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.15260 1.12084 0.238886 1.56432 1.38467 0.754685 1.98912 1.78781 1.62014 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 4 fit: 86.6168 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.15806 1.12080 0.255953 1.56375 1.39054 0.897334 1.98369 1.79237 1.62696 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 5 fit: 86.6070 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16151 1.12078 0.263724 1.56344 1.39601 1.01077 1.98167 1.79477 1.63007 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 6 fit: 86.6074 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16372 1.12077 0.236477 1.56348 1.40160 1.09620 1.98089 1.79607 1.63143 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 7 fit: 86.6116 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16516 1.12077 0.229803 1.56335 1.39649 1.16109 1.98098 1.79688 1.63217 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 8 fit: 86.6158 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16609 1.12077 0.214383 1.56353 1.39558 1.21184 1.98097 1.79728 1.63234 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 9 fit: 86.6209 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16671 1.12076 0.217741 1.56354 1.39763 1.24993 1.98119 1.79750 1.63251 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 10 fit: 86.6248 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16714 1.12076 0.228442 1.56431 1.39936 1.28165 1.98129 1.79768 1.63260 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 11 fit: 86.6281 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16747 1.12077 0.231911 1.56390 1.39666 1.30278 1.98144 1.79762 1.63265 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 12 fit: 86.6307 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16768 1.12077 0.238438 1.56300 1.39495 1.31941 1.98146 1.79774 1.63264 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 13 fit: 86.6325 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16781 1.12077 0.228726 1.56390 1.39028 1.33120 1.98156 1.79779 1.63255 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 14 fit: 86.6344 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16792 1.12077 0.238608 1.56333 1.39599 1.34335 1.98153 1.79774 1.63255 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 15 fit: 86.6360 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16800 1.12077 0.244408 1.56319 1.39143 1.34880 1.98165 1.79777 1.63265 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 16 fit: 86.6363 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16806 1.12077 0.251440 1.56351 1.38781 1.35768 1.98180 1.79772 1.63267 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: iter: 17 fit: 86.6375 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: scales: 1.16806 1.12077 0.251440 1.56351 1.38781 1.35768 1.98180 1.79772 1.63267 SPFLUX_FITTEMPLATES: spFrame-r1-00057237.fits: template niter, coeffs: 17 1.16806 1.12077 0.251440 1.56351 1.38781 1.35768 1.98180 1.79772 1.63267 SPFLUX_V5: spFrame-r1-00057237.fits: Min/max fluxcalib = 0.0212518 0.259251 SPFLUX_FITTEMPLATES: spFrame-b1-00057238.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00057238.fits: Min/max fluxcalib = 0.0434359 0.262351 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: HELIO_RV correction of 11.1837 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: HELIO_RV correction of 11.1837 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 0 fit: 99.0725 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.20858 1.14019 0.124670 2.02431 0.765110 0.0239158 2.20836 1.92351 1.58526 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 1 fit: 97.7011 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.20181 1.13805 0.193012 1.90762 0.807359 0.372549 2.05477 1.87237 1.59750 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 2 fit: 97.5941 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19825 1.13707 0.214323 1.88189 0.797727 0.634904 1.98852 1.84546 1.60288 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 3 fit: 97.5908 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19649 1.13635 0.195840 1.87618 0.792404 0.833260 1.96054 1.83051 1.60528 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 4 fit: 97.5818 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19573 1.13641 0.223182 1.87609 0.810384 0.983882 1.94880 1.82243 1.60643 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 5 fit: 97.5795 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19547 1.13644 0.231808 1.87505 0.812270 1.09582 1.94407 1.81801 1.60694 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 6 fit: 97.5800 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19548 1.13646 0.212519 1.87437 0.787069 1.18375 1.94230 1.81559 1.60719 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 7 fit: 97.5812 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19560 1.13647 0.212660 1.87476 0.799744 1.24924 1.94169 1.81426 1.60724 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 8 fit: 97.5829 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19578 1.13647 0.223211 1.87431 0.794048 1.29874 1.94155 1.81361 1.60733 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 9 fit: 97.5840 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19595 1.13648 0.214937 1.87505 0.815801 1.33702 1.94172 1.81324 1.60738 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 10 fit: 97.5851 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19610 1.13648 0.204329 1.87474 0.828949 1.36683 1.94183 1.81296 1.60740 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 11 fit: 97.5861 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19623 1.13648 0.222852 1.87491 0.797135 1.39016 1.94198 1.81274 1.60738 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 12 fit: 97.5872 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19635 1.13648 0.234582 1.87475 0.782751 1.40600 1.94204 1.81273 1.60741 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 13 fit: 97.5877 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19642 1.13648 0.231469 1.87492 0.800429 1.41805 1.94208 1.81261 1.60729 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 14 fit: 97.5885 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19648 1.13648 0.224161 1.87454 0.800546 1.42828 1.94216 1.81263 1.60736 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 15 fit: 97.5887 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19656 1.13648 0.209512 1.87459 0.809426 1.43503 1.94214 1.81267 1.60742 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: iter: 16 fit: 97.5889 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: scales: 1.19656 1.13648 0.209512 1.87459 0.809426 1.43503 1.94214 1.81267 1.60742 SPFLUX_FITTEMPLATES: spFrame-r1-00057238.fits: template niter, coeffs: 16 1.19656 1.13648 0.209512 1.87459 0.809426 1.43503 1.94214 1.81267 1.60742 SPFLUX_V5: spFrame-r1-00057238.fits: Min/max fluxcalib = 0.0210162 0.276104 SPFLUX_FITTEMPLATES: spFrame-b1-00057239.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00057239.fits: Min/max fluxcalib = 0.0323724 0.199880 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: HELIO_RV correction of 11.1854 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: HELIO_RV correction of 11.1854 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 0 fit: 97.0685 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.16107 1.14760 0.238371 1.81410 0.183574 0.945770 2.13116 1.86907 1.85102 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 1 fit: 97.1230 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.17550 1.14522 0.635739 1.88118 0.176134 1.08429 2.08102 1.82408 1.81533 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 2 fit: 97.2691 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.18421 1.14375 0.745883 1.89563 0.145813 1.19091 2.05977 1.79891 1.79923 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 3 fit: 97.3529 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.19123 1.14295 0.767779 1.89861 0.200814 1.27536 2.05094 1.78502 1.79206 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 4 fit: 97.3767 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.19549 1.14320 0.777531 1.89915 0.174173 1.34149 2.04770 1.77741 1.78886 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 5 fit: 97.3986 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.19812 1.14307 0.782786 1.89861 0.226140 1.39057 2.04635 1.77308 1.78744 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 6 fit: 97.4107 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.19975 1.14300 0.775165 1.89921 0.159663 1.42601 2.04574 1.77084 1.78675 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 7 fit: 97.4089 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20079 1.14323 0.774678 1.89971 0.151093 1.45292 2.04564 1.76968 1.78644 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 8 fit: 97.4169 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20142 1.14309 0.779727 1.89985 0.164562 1.47553 2.04553 1.76896 1.78636 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 9 fit: 97.4217 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20183 1.14301 0.779163 1.90004 0.194832 1.49379 2.04564 1.76855 1.78633 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 10 fit: 97.4159 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20209 1.14323 0.771886 1.89966 0.186171 1.50773 2.04572 1.76844 1.78636 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 11 fit: 97.4217 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20229 1.14309 0.776435 1.89941 0.182793 1.51851 2.04556 1.76827 1.78632 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 12 fit: 97.4252 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20244 1.14301 0.779595 1.89953 0.203133 1.52632 2.04579 1.76820 1.78638 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 13 fit: 97.4184 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20250 1.14323 0.783655 1.89994 0.150327 1.53149 2.04585 1.76827 1.78642 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 14 fit: 97.4236 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20257 1.14309 0.778760 1.89965 0.184955 1.53867 2.04584 1.76818 1.78630 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 15 fit: 97.4267 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20264 1.14300 0.784518 1.89886 0.185554 1.54155 2.04565 1.76815 1.78633 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 16 fit: 97.4199 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20264 1.14323 0.784273 1.89822 0.152224 1.54414 2.04586 1.76811 1.78637 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 17 fit: 97.4248 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20265 1.14309 0.782380 1.89916 0.166744 1.54634 2.04587 1.76810 1.78635 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 18 fit: 97.4273 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20266 1.14301 0.778935 1.89907 0.156982 1.54868 2.04577 1.76803 1.78633 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 19 fit: 97.4204 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20266 1.14323 0.773781 1.89989 0.168475 1.54944 2.04584 1.76813 1.78629 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: iter: 20 fit: 97.4251 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: scales: 1.20266 1.14323 0.773781 1.89989 0.168475 1.54944 2.04584 1.76813 1.78629 SPFLUX_FITTEMPLATES: spFrame-r1-00057239.fits: template niter, coeffs: 20 1.20266 1.14323 0.773781 1.89989 0.168475 1.54944 2.04584 1.76813 1.78629 SPFLUX_V5: spFrame-r1-00057239.fits: Min/max fluxcalib = 0.0173618 0.223631 SPFLUX_FITTEMPLATES: spFrame-b1-00057240.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00057240.fits: Min/max fluxcalib = 0.0273263 0.188100 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: HELIO_RV correction of 11.1888 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: HELIO_RV correction of 11.1888 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 0 fit: 99.2254 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.18359 1.15442 0.336402 1.71233 0.500252 0.596120 2.34031 2.02828 1.71189 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 1 fit: 98.3786 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.19712 1.15772 0.692551 1.67884 0.453674 0.808145 2.24900 2.00904 1.74116 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 2 fit: 98.3066 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.20535 1.15895 0.783707 1.67164 0.463251 0.962582 2.20991 1.99868 1.75415 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 3 fit: 98.2905 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21040 1.15933 0.802825 1.66950 0.449494 1.08394 2.19336 1.99301 1.76000 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 4 fit: 98.2875 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21358 1.15956 0.818815 1.66926 0.455871 1.17620 2.18661 1.98994 1.76264 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 5 fit: 98.2887 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21556 1.15970 0.815363 1.66821 0.445396 1.24785 2.18386 1.98833 1.76378 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 6 fit: 98.2909 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21682 1.15979 0.813425 1.66854 0.422183 1.30243 2.18288 1.98740 1.76435 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 7 fit: 98.2933 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21765 1.15984 0.818843 1.66892 0.408078 1.34516 2.18261 1.98699 1.76460 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 8 fit: 98.2953 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21824 1.15987 0.815662 1.66959 0.448472 1.37782 2.18255 1.98669 1.76472 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 9 fit: 98.2970 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21860 1.15989 0.817410 1.66809 0.430558 1.40192 2.18264 1.98647 1.76476 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 10 fit: 98.2986 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21884 1.15990 0.819402 1.66878 0.448763 1.42166 2.18257 1.98648 1.76470 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 11 fit: 98.3000 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21903 1.15991 0.820885 1.66873 0.445426 1.43808 2.18270 1.98635 1.76478 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 12 fit: 98.3007 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21917 1.15991 0.824535 1.66941 0.452692 1.44703 2.18268 1.98635 1.76481 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 13 fit: 98.3014 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21926 1.15991 0.817364 1.66887 0.463109 1.45679 2.18283 1.98640 1.76469 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: iter: 14 fit: 98.3023 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: scales: 1.21926 1.15991 0.817364 1.66887 0.463109 1.45679 2.18283 1.98640 1.76469 SPFLUX_FITTEMPLATES: spFrame-r1-00057240.fits: template niter, coeffs: 14 1.21926 1.15991 0.817364 1.66887 0.463109 1.45679 2.18283 1.98640 1.76469 SPFLUX_V5: spFrame-r1-00057240.fits: Min/max fluxcalib = 0.0145036 0.196512 SPCOMBINE_V5: SPFLUX_V5: using flux calibration stars: 18 161 193 243 SPFLUX_BESTMODEL: Fiber 339: Best-fit velocity for std star = -46.718374 km/s SPFLUX_BESTMODEL: Fiber 339: Best-fit total chi2/DOF = 0.827770 SPFLUX_BESTMODEL: Fiber 339: Best-fit line chi2/DOF = 1.1532751 SPFLUX_BESTMODEL: Fiber 339: Full median S/N = 2.51280 SPFLUX_BESTMODEL: Fiber 339: Line median S/N = 6.96351 SPFLUX_BESTMODEL: Fiber 482: Best-fit velocity for std star = -24.887373 km/s SPFLUX_BESTMODEL: Fiber 482: Best-fit total chi2/DOF = 0.899822 SPFLUX_BESTMODEL: Fiber 482: Best-fit line chi2/DOF = 1.0850892 SPFLUX_BESTMODEL: Fiber 482: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 482: Line median S/N = 2.91299 SPFLUX_BESTMODEL: Fiber 514: Best-fit velocity for std star = -689.50354 km/s SPFLUX_BESTMODEL: Fiber 514: Warning: Error code -7 fitting std star SPFLUX_BESTMODEL: Fiber 514: Best-fit total chi2/DOF = 0.00000 SPFLUX_BESTMODEL: Fiber 514: Best-fit line chi2/DOF = 0.0000000 SPFLUX_BESTMODEL: Fiber 514: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 514: Line median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 564: Best-fit velocity for std star = -67.304292 km/s SPFLUX_BESTMODEL: Fiber 564: Best-fit total chi2/DOF = 0.986315 SPFLUX_BESTMODEL: Fiber 564: Best-fit line chi2/DOF = 1.4384331 SPFLUX_BESTMODEL: Fiber 564: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 564: Line median S/N = 2.11253 SPFLUX_V5: Warning: Rejecting std star in fiber = 339 with too many IVAR=0 pixels in spFrame-r2-00057237.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 482 with too many IVAR=0 pixels in spFrame-r2-00057237.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 514 with too many IVAR=0 pixels in spFrame-b2-00057237.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 564 with too many IVAR=0 pixels in spFrame-r2-00057237.fits