SPCOMBINE_V5: Log file spDiagcomb-2338-53679.log opened Sat Mar 15 16:21:35 2008 SPCOMBINE_V5: IDL version: x86 linux unix linux 6.3 Mar 23 2006 32 64 SPCOMBINE_V5: UNAME: Linux sdssdp56.fnal.gov 2.6.9-42.0.2.ELsmp #1 SMP Tue Aug 22 17:26:55 CDT 2006 i686 i686 i386 GNU/Linux SPCOMBINE_V5: Plot file spDiagcomb-2338-53679.ps SPCOMBINE_V5: Plan file spPlancomb-2338-53679.par SPCOMBINE_V5: DOCAMS = b1 b2 r1 r2 SPCOMBINE_V5: idlspec2d version v5_3_12 SPCOMBINE_V5: idlutils version v5_3_0 SPCOMBINE_V5: Best exposure = 34589 score = 0.0155366 SPCOMBINE_V5: SPFLUX_READ_KURUCZ: Fiber 16: Reading Kurucz models SPFLUX_READ_KURUCZ: Fiber 16: Remapping Kurucz models to log-wavelengths SPFLUX_READ_KURUCZ: Fiber 16: Convolving Kurucz models with SDSS pixel size SPFLUX_READ_KURUCZ: Fiber 16: Convolving Kurucz models with dispersions SPFLUX_BESTMODEL: Fiber 16: Best-fit velocity for std star = 6.8222417 km/s SPFLUX_BESTMODEL: Fiber 16: Best-fit total chi2/DOF = 0.592863 SPFLUX_BESTMODEL: Fiber 16: Best-fit line chi2/DOF = 0.71467444 SPFLUX_BESTMODEL: Fiber 16: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 16: Line median S/N = 0.00000 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 = -55.843273 km/s SPFLUX_BESTMODEL: Fiber 198: Best-fit total chi2/DOF = 0.513366 SPFLUX_BESTMODEL: Fiber 198: Best-fit line chi2/DOF = 1.1512685 SPFLUX_BESTMODEL: Fiber 198: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 198: Line median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 252: Best-fit velocity for std star = -689.50354 km/s SPFLUX_BESTMODEL: Fiber 252: Warning: Error code -1 fitting std star SPFLUX_BESTMODEL: Fiber 252: Best-fit total chi2/DOF = -NaN SPFLUX_BESTMODEL: Fiber 252: Best-fit line chi2/DOF = -NaN 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 = 8.2158648 km/s SPFLUX_BESTMODEL: Fiber 267: Best-fit total chi2/DOF = 1.03691 SPFLUX_BESTMODEL: Fiber 267: Best-fit line chi2/DOF = 1.8083486 SPFLUX_BESTMODEL: Fiber 267: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 267: Line median S/N = 0.00000 SPFLUX_V5: Rejecting std star in fiber = 92 with chi2= 100.00000 SPFLUX_V5: Rejecting std star in fiber = 261 with chi2= 100.00000 SPFLUX_V5: Rejecting std star in fiber = 16 with median line S/N= 0.00000 SPFLUX_V5: Iteration # 1 SPFLUX_V5: WARNING: Already rejected 3 of 6 std stars SPFLUX_V5: Rejected 3 of 6 std stars SPFLUX_FITTEMPLATES: spFrame-b1-00034587.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00034587.fits: Min/max fluxcalib = 118.841 688.045 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: HELIO_RV correction of 23.5672 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: HELIO_RV correction of 23.5672 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 0 fit: 7.96433e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.224158 1.00000 1.00000 1.00000 1.00000 0.722256 1.96899 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 1 fit: 7.15328e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.377302 1.00000 1.00000 1.00000 1.00000 0.892860 1.85472 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 2 fit: 6.88199e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.438876 1.00000 1.00000 1.00000 1.00000 1.00195 1.79578 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 3 fit: 6.75910e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.454630 1.00000 1.00000 1.00000 1.00000 1.07196 1.76555 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 4 fit: 6.69567e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.468424 1.00000 1.00000 1.00000 1.00000 1.11724 1.75024 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 5 fit: 6.65944e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.470889 1.00000 1.00000 1.00000 1.00000 1.14619 1.74223 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 6 fit: 6.63786e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.473119 1.00000 1.00000 1.00000 1.00000 1.16481 1.73825 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 7 fit: 6.62442e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.470915 1.00000 1.00000 1.00000 1.00000 1.17670 1.73624 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 8 fit: 6.61599e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.464112 1.00000 1.00000 1.00000 1.00000 1.18467 1.73516 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 9 fit: 6.61038e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.472294 1.00000 1.00000 1.00000 1.00000 1.18979 1.73468 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 10 fit: 6.60676e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.474011 1.00000 1.00000 1.00000 1.00000 1.19295 1.73439 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 11 fit: 6.60454e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.473758 1.00000 1.00000 1.00000 1.00000 1.19529 1.73428 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 12 fit: 6.60287e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.469525 1.00000 1.00000 1.00000 1.00000 1.19680 1.73421 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 13 fit: 6.60180e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.470391 1.00000 1.00000 1.00000 1.00000 1.19762 1.73418 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 14 fit: 6.60122e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.469468 1.00000 1.00000 1.00000 1.00000 1.19809 1.73416 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 15 fit: 6.60089e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.474283 1.00000 1.00000 1.00000 1.00000 1.19823 1.73408 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: iter: 16 fit: 6.60081e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: scales: 1.00000 0.00000 0.474283 1.00000 1.00000 1.00000 1.00000 1.19823 1.73408 SPFLUX_FITTEMPLATES: spFrame-r1-00034587.fits: template niter, coeffs: 16 1.00000 0.00000 0.474283 1.00000 1.00000 1.00000 1.00000 1.19823 1.73408 SPFLUX_V5: spFrame-r1-00034587.fits: Min/max fluxcalib = 145.895 414.970 SPFLUX_FITTEMPLATES: spFrame-b1-00034588.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00034588.fits: Min/max fluxcalib = 76.3807 628.226 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: HELIO_RV correction of 23.5828 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: HELIO_RV correction of 23.5828 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 0 fit: 5.88056e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.86388 0.898831 1.98151 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 1 fit: 5.20933e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.83935 0.562443 1.79970 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 2 fit: 5.06556e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.82023 0.352125 1.70678 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 3 fit: 5.04787e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.80550 0.244803 1.67615 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 4 fit: 5.04352e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.79322 0.236708 1.65998 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 5 fit: 5.04215e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.78277 0.187792 1.65141 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 6 fit: 5.04184e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.77385 0.162557 1.64715 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 7 fit: 5.04157e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.76961 0.219205 1.64591 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 8 fit: 5.04090e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.76263 0.177610 1.64430 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 9 fit: 5.04073e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.75724 0.163311 1.64352 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 10 fit: 5.04049e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.75214 0.210032 1.64314 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: iter: 11 fit: 5.03986e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: scales: 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.75214 0.210032 1.64314 SPFLUX_FITTEMPLATES: spFrame-r1-00034588.fits: template niter, coeffs: 11 1.00000 1.00000 1.00000 1.00000 1.00000 1.00000 1.75214 0.210032 1.64314 SPFLUX_V5: spFrame-r1-00034588.fits: WARNING: Min/max fluxcalib = -46.7063 254.959 SPFLUX_FITTEMPLATES: spFrame-b1-00034589.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00034589.fits: Min/max fluxcalib = 80.8493 574.697 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: HELIO_RV correction of 23.5977 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: HELIO_RV correction of 23.5977 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 0 fit: 9.94468e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.09086 1.09668 0.528935 1.67807 0.498218 2.96375 1.82307 1.70918 1.47484 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 1 fit: 9.38231e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.10935 1.09508 0.577341 1.40872 0.434362 2.57921 1.79785 1.69967 1.52224 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 2 fit: 9.29414e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.12056 1.09408 0.592258 1.34677 0.440156 2.29252 1.78528 1.69418 1.54367 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 3 fit: 9.25526e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.12729 1.09292 0.596745 1.33310 0.462022 2.07778 1.77914 1.69084 1.55337 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 4 fit: 9.23743e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13129 1.09408 0.596227 1.32999 0.464676 1.91654 1.77644 1.68933 1.55774 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 5 fit: 9.22624e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13359 1.09292 0.594080 1.32868 0.442587 1.79611 1.77436 1.68824 1.55975 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 6 fit: 9.22159e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13492 1.09407 0.594164 1.32797 0.457758 1.70424 1.77396 1.68785 1.56071 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 7 fit: 9.21725e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13562 1.09292 0.596566 1.32839 0.438108 1.63650 1.77287 1.68734 1.56108 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 8 fit: 9.21640e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13598 1.09407 0.596161 1.32777 0.465604 1.58502 1.77280 1.68743 1.56135 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 9 fit: 9.21413e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13614 1.09292 0.596369 1.32925 0.454677 1.54525 1.77211 1.68712 1.56131 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 10 fit: 9.21447e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13616 1.09407 0.594395 1.32907 0.459180 1.51367 1.77239 1.68721 1.56134 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 11 fit: 9.21292e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13614 1.09292 0.595261 1.32950 0.437871 1.49052 1.77190 1.68702 1.56142 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 12 fit: 9.21364e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13610 1.09407 0.594159 1.32952 0.439499 1.47240 1.77217 1.68716 1.56128 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 13 fit: 9.21241e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13605 1.09292 0.597475 1.32800 0.453961 1.45934 1.77171 1.68688 1.56131 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 14 fit: 9.21332e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13600 1.09407 0.599118 1.32909 0.440708 1.44934 1.77215 1.68702 1.56128 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 15 fit: 9.21225e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13594 1.09292 0.596579 1.32980 0.454156 1.44141 1.77155 1.68691 1.56131 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 16 fit: 9.21316e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13588 1.09407 0.598949 1.32894 0.443737 1.43345 1.77203 1.68713 1.56123 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 17 fit: 9.21210e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13586 1.09292 0.593422 1.32834 0.498862 1.42983 1.77161 1.68696 1.56115 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 18 fit: 9.21307e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13582 1.09407 0.594268 1.32841 0.438822 1.42796 1.77197 1.68716 1.56123 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 19 fit: 9.21199e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13580 1.09292 0.597397 1.32865 0.473452 1.42474 1.77149 1.68702 1.56131 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 20 fit: 9.21300e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13579 1.09407 0.595658 1.32792 0.481337 1.42398 1.77186 1.68720 1.56143 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 21 fit: 9.21190e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13578 1.09292 0.593487 1.32847 0.435810 1.42317 1.77143 1.68695 1.56133 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 22 fit: 9.21295e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13576 1.09407 0.596759 1.32739 0.451538 1.42180 1.77189 1.68714 1.56137 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 23 fit: 9.21191e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13574 1.09292 0.596099 1.32770 0.459590 1.42027 1.77143 1.68699 1.56130 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 24 fit: 9.21295e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13574 1.09407 0.596464 1.32764 0.475686 1.42102 1.77188 1.68715 1.56123 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 25 fit: 9.21195e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13573 1.09292 0.595896 1.32668 0.443371 1.42050 1.77137 1.68703 1.56133 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 26 fit: 9.21292e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13573 1.09407 0.594980 1.32893 0.458417 1.42076 1.77180 1.68721 1.56130 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 27 fit: 9.21192e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13573 1.09292 0.599360 1.32806 0.448591 1.42162 1.77144 1.68698 1.56138 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 28 fit: 9.21298e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13573 1.09407 0.601259 1.32772 0.443494 1.42070 1.77198 1.68713 1.56127 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 29 fit: 9.21199e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13574 1.09292 0.596649 1.32796 0.441858 1.42213 1.77145 1.68695 1.56139 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 30 fit: 9.21295e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13574 1.09407 0.592549 1.32694 0.443725 1.42153 1.77192 1.68709 1.56141 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 31 fit: 9.21187e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13574 1.09292 0.604176 1.32819 0.427270 1.41884 1.77145 1.68692 1.56140 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 32 fit: 9.21299e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13574 1.09407 0.595102 1.32835 0.453647 1.41788 1.77180 1.68710 1.56133 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 33 fit: 9.21189e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13574 1.09292 0.598137 1.32848 0.438909 1.41661 1.77133 1.68699 1.56144 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 34 fit: 9.21291e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13573 1.09407 0.597163 1.32815 0.454497 1.41662 1.77184 1.68717 1.56143 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 35 fit: 9.21187e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13573 1.09292 0.590772 1.32723 0.469786 1.41821 1.77144 1.68697 1.56141 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 36 fit: 9.21285e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13573 1.09407 0.593166 1.32765 0.441563 1.41863 1.77179 1.68709 1.56147 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 37 fit: 9.21184e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13572 1.09291 0.589925 1.32819 0.480257 1.41866 1.77139 1.68692 1.56145 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 38 fit: 9.21285e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13573 1.09407 0.592763 1.32798 0.458153 1.41853 1.77185 1.68713 1.56135 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 39 fit: 9.21188e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13573 1.09292 0.599796 1.32947 0.427453 1.41815 1.77146 1.68689 1.56132 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 40 fit: 9.21301e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13572 1.09407 0.601115 1.32705 0.459799 1.42021 1.77186 1.68711 1.56133 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 41 fit: 9.21197e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13572 1.09292 0.595679 1.32888 0.459623 1.42114 1.77147 1.68699 1.56122 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 42 fit: 9.21300e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13572 1.09407 0.596202 1.32876 0.435162 1.41835 1.77188 1.68724 1.56135 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 43 fit: 9.21191e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13573 1.09292 0.594996 1.32851 0.439500 1.41863 1.77141 1.68700 1.56141 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 44 fit: 9.21291e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13571 1.09407 0.594457 1.32984 0.454192 1.41639 1.77186 1.68713 1.56150 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 45 fit: 9.21186e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13571 1.09292 0.596785 1.32782 0.468087 1.41590 1.77158 1.68700 1.56131 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 46 fit: 9.21294e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13571 1.09407 0.601616 1.32791 0.443502 1.41822 1.77193 1.68716 1.56134 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 47 fit: 9.21195e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13571 1.09291 0.591374 1.32788 0.469048 1.41971 1.77144 1.68703 1.56131 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 48 fit: 9.21290e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13571 1.09407 0.592981 1.32876 0.446175 1.41929 1.77190 1.68718 1.56138 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: iter: 49 fit: 9.21188e-07 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: scales: 1.13571 1.09291 0.598462 1.32726 0.453505 1.41950 1.77142 1.68699 1.56136 SPFLUX_FITTEMPLATES: spFrame-r1-00034589.fits: template fit did not converge! coeffs= 1.13571 1.09291 0.598462 1.32726 0.453505 1.41950 1.77142 1.68699 1.56136 SPFLUX_V5: spFrame-r1-00034589.fits: Min/max fluxcalib = 57.7540 632.844 SPCOMBINE_V5: SPFLUX_BESTMODEL: Fiber 335: Best-fit velocity for std star = -4.3914149 km/s SPFLUX_BESTMODEL: Fiber 335: Best-fit total chi2/DOF = 0.579958 SPFLUX_BESTMODEL: Fiber 335: Best-fit line chi2/DOF = 0.91971869 SPFLUX_BESTMODEL: Fiber 335: Full median S/N = 32.1750 SPFLUX_BESTMODEL: Fiber 335: Line median S/N = 31.5411 SPFLUX_BESTMODEL: Fiber 342: Best-fit velocity for std star = -11.075071 km/s SPFLUX_BESTMODEL: Fiber 342: Best-fit total chi2/DOF = 1.39520 SPFLUX_BESTMODEL: Fiber 342: Best-fit line chi2/DOF = 1.5446481 SPFLUX_BESTMODEL: Fiber 342: Full median S/N = 24.4065 SPFLUX_BESTMODEL: Fiber 342: Line median S/N = 18.8890 SPFLUX_BESTMODEL: Fiber 442: Best-fit velocity for std star = -29.758132 km/s SPFLUX_BESTMODEL: Fiber 442: Best-fit total chi2/DOF = 1.05663 SPFLUX_BESTMODEL: Fiber 442: Best-fit line chi2/DOF = 2.6679602 SPFLUX_BESTMODEL: Fiber 442: Full median S/N = 28.1758 SPFLUX_BESTMODEL: Fiber 442: Line median S/N = 24.3596 SPFLUX_BESTMODEL: Fiber 500: Best-fit velocity for std star = -12.069840 km/s SPFLUX_BESTMODEL: Fiber 500: Best-fit total chi2/DOF = 0.809843 SPFLUX_BESTMODEL: Fiber 500: Best-fit line chi2/DOF = 1.5815675 SPFLUX_BESTMODEL: Fiber 500: Full median S/N = 26.3630 SPFLUX_BESTMODEL: Fiber 500: Line median S/N = 22.3056 SPFLUX_BESTMODEL: Fiber 518: Best-fit velocity for std star = -14.012770 km/s SPFLUX_BESTMODEL: Fiber 518: Best-fit total chi2/DOF = 0.762052 SPFLUX_BESTMODEL: Fiber 518: Best-fit line chi2/DOF = 1.2692755 SPFLUX_BESTMODEL: Fiber 518: Full median S/N = 32.0176 SPFLUX_BESTMODEL: Fiber 518: Line median S/N = 31.3537 SPFLUX_BESTMODEL: Fiber 547: Best-fit velocity for std star = -49.288089 km/s SPFLUX_BESTMODEL: Fiber 547: Best-fit total chi2/DOF = 0.670382 SPFLUX_BESTMODEL: Fiber 547: Best-fit line chi2/DOF = 1.2406045 SPFLUX_BESTMODEL: Fiber 547: Full median S/N = 31.9695 SPFLUX_BESTMODEL: Fiber 547: Line median S/N = 31.4408 SPFLUX_BESTMODEL: Fiber 575: Best-fit velocity for std star = -23.811697 km/s SPFLUX_BESTMODEL: Fiber 575: Best-fit total chi2/DOF = 0.689884 SPFLUX_BESTMODEL: Fiber 575: Best-fit line chi2/DOF = 0.85193370 SPFLUX_BESTMODEL: Fiber 575: Full median S/N = 22.7873 SPFLUX_BESTMODEL: Fiber 575: Line median S/N = 17.6540 SPFLUX_BESTMODEL: Fiber 584: Best-fit velocity for std star = -689.50354 km/s SPFLUX_BESTMODEL: Fiber 584: Warning: Error code -1 fitting std star SPFLUX_BESTMODEL: Fiber 584: Best-fit total chi2/DOF = -NaN SPFLUX_BESTMODEL: Fiber 584: Best-fit line chi2/DOF = -NaN 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 -1 fitting std star SPFLUX_BESTMODEL: Fiber 613: Best-fit total chi2/DOF = -NaN SPFLUX_BESTMODEL: Fiber 613: Best-fit line chi2/DOF = -NaN 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 -1 fitting std star SPFLUX_BESTMODEL: Fiber 632: Best-fit total chi2/DOF = -NaN SPFLUX_BESTMODEL: Fiber 632: Best-fit line chi2/DOF = -NaN 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 = -20.479681 km/s SPFLUX_BESTMODEL: Fiber 637: Best-fit total chi2/DOF = 0.916523 SPFLUX_BESTMODEL: Fiber 637: Best-fit line chi2/DOF = 1.8239715 SPFLUX_BESTMODEL: Fiber 637: Full median S/N = 32.3449 SPFLUX_BESTMODEL: Fiber 637: Line median S/N = 31.9318 SPFLUX_V5: Rejecting std star in fiber = 442 with chi2= 2.6679602 SPFLUX_V5: Rejecting std star in fiber = 584 with median line S/N= 0.00000 SPFLUX_V5: Rejecting std star in fiber = 613 with median line S/N= 0.00000 SPFLUX_V5: Rejecting std star in fiber = 632 with median line S/N= 0.00000 SPFLUX_V5: Iteration # 1 SPFLUX_V5: Rejecting std star in fiber = 342 with fracgood= 0.680745 SPFLUX_V5: Iteration # 2 SPFLUX_V5: Rejecting std star in fiber = 335 with fracgood= 0.690674 SPFLUX_V5: Iteration # 3 SPFLUX_V5: WARNING: Already rejected 6 of 11 std stars SPFLUX_V5: Rejected 6 of 11 std stars SPFLUX_FITTEMPLATES: spFrame-b2-00034587.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b2-00034587.fits: Min/max fluxcalib = 259.362 1063.66