SPCOMBINE_V5: Log file spDiagcomb-3499-54958.log opened Sun Mar 14 01:49:06 2010 SPCOMBINE_V5: IDL version: x86_64 linux unix linux 6.4 Apr 26 2007 64 64 SPCOMBINE_V5: UNAME: Linux hammer1.astro.Princeton.EDU 2.6.18-164.6.1.el5.centos.plus #1 SMP Wed Nov 4 09:31:39 EST 2009 x86_64 x86_64 x86_64 GNU/Linux SPCOMBINE_V5: Plot file spDiagcomb-3499-54958.ps SPCOMBINE_V5: Plan file spPlancomb-3499-54958.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 = 61041 score = 1.00000 SPCOMBINE_V5: SPFLUX_V5: using flux calibration stars: 1 27 217 313 SPFLUX_READ_KURUCZ: Fiber 2: Reading Kurucz models SPFLUX_READ_KURUCZ: Fiber 2: Remapping Kurucz models to log-wavelengths SPFLUX_READ_KURUCZ: Fiber 2: Convolving Kurucz models with SDSS pixel size SPFLUX_READ_KURUCZ: Fiber 2: Convolving Kurucz models with dispersions SPFLUX_BESTMODEL: Fiber 2: Best-fit velocity for std star = -22.800156 km/s SPFLUX_BESTMODEL: Fiber 2: Best-fit total chi2/DOF = 0.968547 SPFLUX_BESTMODEL: Fiber 2: Best-fit line chi2/DOF = 1.2842064 SPFLUX_BESTMODEL: Fiber 2: Full median S/N = 19.2572 SPFLUX_BESTMODEL: Fiber 2: Line median S/N = 15.4710 SPFLUX_BESTMODEL: Fiber 28: Best-fit velocity for std star = -85.124091 km/s SPFLUX_BESTMODEL: Fiber 28: Best-fit total chi2/DOF = 0.902995 SPFLUX_BESTMODEL: Fiber 28: Best-fit line chi2/DOF = 1.1841204 SPFLUX_BESTMODEL: Fiber 28: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 28: Line median S/N = 2.58177 SPFLUX_BESTMODEL: Fiber 218: Best-fit velocity for std star = -8.2340840 km/s SPFLUX_BESTMODEL: Fiber 218: Best-fit total chi2/DOF = 0.973863 SPFLUX_BESTMODEL: Fiber 218: Best-fit line chi2/DOF = 1.4324465 SPFLUX_BESTMODEL: Fiber 218: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 218: Line median S/N = 4.90341 SPFLUX_BESTMODEL: Fiber 314: Best-fit velocity for std star = -25.923515 km/s SPFLUX_BESTMODEL: Fiber 314: Best-fit total chi2/DOF = 0.781884 SPFLUX_BESTMODEL: Fiber 314: Best-fit line chi2/DOF = 1.6199306 SPFLUX_BESTMODEL: Fiber 314: Full median S/N = 29.8466 SPFLUX_BESTMODEL: Fiber 314: Line median S/N = 28.3496 SPFLUX_V5: Warning: Rejecting std star in fiber = 28 with too many IVAR=0 pixels in spFrame-r1-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 218 with too many IVAR=0 pixels in spFrame-r1-00061041.fits SPFLUX_V5: Iteration # 1 SPFLUX_V5: Rejected 2 of 4 std stars SPFLUX_FITTEMPLATES: spFrame-b1-00061041.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00061041.fits: Min/max fluxcalib = 0.0526380 0.425238 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: HELIO_RV correction of -11.1034 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: HELIO_RV correction of -11.1034 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 0 fit: 7.42546 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.00510 0.984203 0.491551 1.20635 0.227247 0.344163 1.87189 1.69035 0.868390 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 1 fit: 5.80819 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.01805 0.991374 0.754968 1.21408 0.253611 0.324665 1.81039 1.62926 1.19109 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 2 fit: 5.67118 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.02585 0.996468 0.816181 1.21589 0.271915 0.304155 1.78165 1.59642 1.33351 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 3 fit: 5.65651 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03060 0.997970 0.841729 1.21665 0.322045 0.281088 1.76717 1.57875 1.38208 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 4 fit: 5.65206 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03343 0.998979 0.841262 1.21789 0.255966 0.268037 1.76035 1.56895 1.40573 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 5 fit: 5.65120 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03516 0.999659 0.850054 1.21642 0.234920 0.256700 1.75729 1.56390 1.41745 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 6 fit: 5.65116 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03619 1.00012 0.847189 1.21683 0.231209 0.256357 1.75593 1.56130 1.42322 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 7 fit: 5.65135 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03682 1.00043 0.848705 1.21758 0.311626 0.243710 1.75526 1.55985 1.42610 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 8 fit: 5.65145 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03714 1.00064 0.840653 1.21657 0.244304 0.239109 1.75493 1.55907 1.42755 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 9 fit: 5.65156 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03729 1.00074 0.844875 1.21670 0.254461 0.239769 1.75495 1.55880 1.42799 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 10 fit: 5.65163 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03741 1.00082 0.846009 1.21698 0.277868 0.238490 1.75485 1.55861 1.42826 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 11 fit: 5.65168 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03745 1.00085 0.845743 1.21713 0.294872 0.238142 1.75481 1.55853 1.42842 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 12 fit: 5.65169 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03756 1.00093 0.849998 1.21778 0.276057 0.237898 1.75466 1.55842 1.42863 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: iter: 13 fit: 5.65176 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: scales: 1.03756 1.00093 0.849998 1.21778 0.276057 0.237898 1.75466 1.55842 1.42863 SPFLUX_FITTEMPLATES: spFrame-r1-00061041.fits: template niter, coeffs: 13 1.03756 1.00093 0.849998 1.21778 0.276057 0.237898 1.75466 1.55842 1.42863 SPFLUX_V5: spFrame-r1-00061041.fits: Min/max fluxcalib = 0.0528094 0.404780 SPFLUX_FITTEMPLATES: spFrame-b1-00061042.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00061042.fits: Min/max fluxcalib = 0.0461810 0.390018 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: HELIO_RV correction of -11.0996 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: HELIO_RV correction of -11.0996 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 0 fit: 5.57646 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.01869 0.987623 0.634262 1.02126 5.96046e-08 0.283765 2.14887 1.72322 1.35938 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 1 fit: 5.31734 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.03258 0.991778 0.824829 0.857769 5.96046e-08 0.431909 2.00196 1.60785 1.43255 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 2 fit: 5.27372 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.04084 0.994661 0.873380 0.825722 5.96046e-08 0.540286 1.93629 1.54469 1.46706 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 3 fit: 5.26409 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.04584 0.996693 0.880584 0.819350 5.96046e-08 0.626813 1.90735 1.50928 1.48334 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 4 fit: 5.26370 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.04886 0.998136 0.883561 0.817131 5.96046e-08 0.686110 1.89443 1.48890 1.49116 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 5 fit: 5.26572 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05076 0.999148 0.881305 0.818181 5.96046e-08 0.734680 1.88876 1.47781 1.49481 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 6 fit: 5.26802 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05192 0.999858 0.891418 0.818678 5.96046e-08 0.774616 1.88631 1.47193 1.49662 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 7 fit: 5.27005 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05265 1.00036 0.891889 0.818551 5.96046e-08 0.802692 1.88522 1.46895 1.49744 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 8 fit: 5.27164 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05314 1.00071 0.881032 0.817176 5.96046e-08 0.827526 1.88481 1.46732 1.49775 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 9 fit: 5.27077 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05341 1.00052 0.890051 0.816986 5.96046e-08 0.840094 1.88481 1.46642 1.49791 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 10 fit: 5.27216 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05361 1.00082 0.888062 0.816062 5.96046e-08 0.852473 1.88465 1.46590 1.49797 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 11 fit: 5.27117 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05374 1.00060 0.879304 0.819224 5.96046e-08 0.860485 1.88464 1.46572 1.49804 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 12 fit: 5.27041 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05383 1.00044 0.886643 0.818468 5.96046e-08 0.865367 1.88490 1.46554 1.49812 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 13 fit: 5.27190 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05390 1.00077 0.887053 0.816984 5.96046e-08 0.867469 1.88490 1.46546 1.49793 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 14 fit: 5.27101 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05397 1.00056 0.891828 0.818369 5.96046e-08 0.872743 1.88507 1.46536 1.49806 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 15 fit: 5.27033 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05402 1.00041 0.885268 0.819004 5.96046e-08 0.878429 1.88511 1.46535 1.49809 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 16 fit: 5.27184 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05404 1.00075 0.891155 0.819836 5.96046e-08 0.883961 1.88500 1.46516 1.49814 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 17 fit: 5.27099 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05404 1.00055 0.892592 0.816708 5.96046e-08 0.885697 1.88505 1.46515 1.49806 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 18 fit: 5.27234 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05405 1.00084 0.885998 0.818796 5.96046e-08 0.887765 1.88476 1.46528 1.49808 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 19 fit: 5.27130 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05405 1.00061 0.881754 0.819945 5.96046e-08 0.883940 1.88505 1.46528 1.49813 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 20 fit: 5.27052 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05408 1.00045 0.877682 0.821032 5.96046e-08 0.884176 1.88496 1.46525 1.49811 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 21 fit: 5.27197 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05406 1.00078 0.882948 0.818164 5.96046e-08 0.881835 1.88477 1.46531 1.49799 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 22 fit: 5.27106 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05403 1.00057 0.889100 0.817618 5.96046e-08 0.884934 1.88494 1.46530 1.49804 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 23 fit: 5.27240 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05408 1.00086 0.885265 0.816891 5.96046e-08 0.884409 1.88481 1.46534 1.49806 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 24 fit: 5.27134 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05405 1.00062 0.884840 0.816808 5.96046e-08 0.886802 1.88501 1.46535 1.49810 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 25 fit: 5.27055 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05403 1.00046 0.889390 0.816492 5.96046e-08 0.888823 1.88526 1.46541 1.49811 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 26 fit: 5.27203 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05404 1.00078 0.891219 0.817651 5.96046e-08 0.888445 1.88495 1.46542 1.49816 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 27 fit: 5.27110 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05406 1.00057 0.891071 0.819399 5.96046e-08 0.887109 1.88508 1.46530 1.49808 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 28 fit: 5.27039 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05406 1.00042 0.891488 0.819261 5.96046e-08 0.886746 1.88494 1.46532 1.49806 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 29 fit: 5.27189 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05404 1.00075 0.892081 0.818664 5.96046e-08 0.883180 1.88486 1.46557 1.49800 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 30 fit: 5.27100 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05404 1.00055 0.892464 0.818945 5.96046e-08 0.885326 1.88510 1.46543 1.49804 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 31 fit: 5.27236 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05405 1.00085 0.890332 0.817131 5.96046e-08 0.887404 1.88476 1.46541 1.49809 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 32 fit: 5.27132 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05407 1.00061 0.883739 0.817762 5.96046e-08 0.890362 1.88493 1.46538 1.49811 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 33 fit: 5.27053 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05403 1.00045 0.889403 0.815085 5.96046e-08 0.885841 1.88507 1.46524 1.49804 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 34 fit: 5.27200 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05406 1.00078 0.888502 0.817634 5.96046e-08 0.883234 1.88500 1.46539 1.49807 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 35 fit: 5.27108 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05406 1.00057 0.888001 0.819887 5.96046e-08 0.882496 1.88491 1.46531 1.49809 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 36 fit: 5.27239 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05405 1.00086 0.892370 0.818886 5.96046e-08 0.883188 1.88483 1.46533 1.49799 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 37 fit: 5.27136 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05405 1.00062 0.891883 0.817997 5.96046e-08 0.886765 1.88507 1.46531 1.49796 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 38 fit: 5.27058 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05408 1.00046 0.887917 0.815526 5.96046e-08 0.886684 1.88510 1.46516 1.49803 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 39 fit: 5.27202 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05408 1.00078 0.883843 0.818663 5.96046e-08 0.886244 1.88501 1.46519 1.49821 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 40 fit: 5.27108 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05409 1.00057 0.883113 0.818184 5.96046e-08 0.885003 1.88510 1.46519 1.49807 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 41 fit: 5.27037 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05407 1.00042 0.883607 0.819014 5.96046e-08 0.881878 1.88486 1.46523 1.49812 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 42 fit: 5.27185 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05405 1.00075 0.882926 0.816343 5.96046e-08 0.882440 1.88487 1.46517 1.49801 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 43 fit: 5.27098 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05405 1.00055 0.884886 0.818009 5.96046e-08 0.885325 1.88493 1.46523 1.49807 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 44 fit: 5.27233 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05407 1.00084 0.886855 0.818251 5.96046e-08 0.887143 1.88483 1.46524 1.49812 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 45 fit: 5.27131 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05406 1.00061 0.893269 0.819459 5.96046e-08 0.890360 1.88503 1.46538 1.49813 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 46 fit: 5.27056 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05406 1.00045 0.886016 0.818153 5.96046e-08 0.892168 1.88517 1.46528 1.49813 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 47 fit: 5.27201 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05409 1.00078 0.889077 0.818332 5.96046e-08 0.889051 1.88501 1.46524 1.49811 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 48 fit: 5.27108 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05407 1.00057 0.885091 0.818351 5.96046e-08 0.887531 1.88520 1.46524 1.49807 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: iter: 49 fit: 5.27241 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: scales: 1.05407 1.00086 0.887344 0.819580 5.96046e-08 0.884252 1.88507 1.46536 1.49808 SPFLUX_FITTEMPLATES: spFrame-r1-00061042.fits: template fit did not converge! coeffs= 1.05407 1.00086 0.887344 0.819580 5.96046e-08 0.884252 1.88507 1.46536 1.49808 SPFLUX_V5: spFrame-r1-00061042.fits: Min/max fluxcalib = 0.0479369 0.367046 SPFLUX_FITTEMPLATES: spFrame-b1-00061043.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00061043.fits: Min/max fluxcalib = 0.0863928 0.710058 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: HELIO_RV correction of -11.0956 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: HELIO_RV correction of -11.0956 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 0 fit: 6.09495 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.03071 0.959427 0.342104 0.419969 0.00000 2.41431 1.78989 1.68174 1.36755 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 1 fit: 5.85833 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.02508 0.969734 0.568091 0.507773 0.00677811 2.22420 1.70555 1.61905 1.40426 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 2 fit: 5.82563 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.02139 0.975358 0.628298 0.513398 0.00125546 2.07638 1.66709 1.58558 1.42172 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 3 fit: 5.82043 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01900 0.979208 0.640073 0.518254 0.00125546 1.96004 1.64929 1.56788 1.43007 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 4 fit: 5.82334 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01736 0.981860 0.651428 0.519047 0.00125546 1.87040 1.64112 1.55864 1.43410 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 5 fit: 5.82817 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01625 0.983697 0.656666 0.517725 0.00125546 1.80299 1.63738 1.55401 1.43597 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 6 fit: 5.83283 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01553 0.984974 0.654159 0.517666 0.00125546 1.75168 1.63550 1.55162 1.43691 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 7 fit: 5.83667 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01499 0.985862 0.652448 0.513582 0.00125546 1.71219 1.63429 1.55038 1.43726 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 8 fit: 5.83964 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01462 0.986482 0.648683 0.517470 0.00125546 1.68150 1.63381 1.54992 1.43751 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 9 fit: 5.84182 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01435 0.986914 0.655761 0.518808 0.00125546 1.65871 1.63364 1.54985 1.43758 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 10 fit: 5.84343 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01419 0.987217 0.652775 0.521504 0.00125546 1.63880 1.63305 1.54979 1.43772 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 11 fit: 5.84454 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01405 0.987426 0.652523 0.526476 0.00125546 1.62628 1.63319 1.54974 1.43775 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 12 fit: 5.84534 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01395 0.987575 0.649592 0.518292 0.00125546 1.61640 1.63309 1.54968 1.43776 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 13 fit: 5.84592 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01388 0.987677 0.649244 0.519575 0.00125546 1.60805 1.63284 1.54971 1.43775 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 14 fit: 5.84632 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01383 0.987751 0.646354 0.521416 0.00125546 1.60175 1.63330 1.54975 1.43777 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 15 fit: 5.84657 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01378 0.987801 0.647255 0.521131 0.00125546 1.59701 1.63302 1.54972 1.43773 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 16 fit: 5.84677 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01373 0.987836 0.656593 0.519703 0.00125546 1.59263 1.63324 1.54978 1.43777 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: iter: 17 fit: 5.84689 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: scales: 1.01373 0.987836 0.656593 0.519703 0.00125546 1.59263 1.63324 1.54978 1.43777 SPFLUX_FITTEMPLATES: spFrame-r1-00061043.fits: template niter, coeffs: 17 1.01373 0.987836 0.656593 0.519703 0.00125546 1.59263 1.63324 1.54978 1.43777 SPFLUX_V5: spFrame-r1-00061043.fits: Min/max fluxcalib = 0.0903920 0.675614 SPFLUX_FITTEMPLATES: spFrame-b1-00061044.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00061044.fits: Min/max fluxcalib = 0.0920571 0.752028 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: HELIO_RV correction of -11.0919 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: HELIO_RV correction of -11.0919 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 0 fit: 5.37965 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.877986 0.959475 0.261455 0.715247 0.967776 0.00000 1.62011 1.70730 1.43899 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 1 fit: 5.22785 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.908213 0.966203 0.496394 0.760299 1.00306 0.165941 1.62340 1.64055 1.43507 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 2 fit: 5.20803 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.927116 0.969553 0.576173 0.765404 1.00854 0.303455 1.62477 1.60423 1.43331 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 3 fit: 5.20300 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.939048 0.971849 0.589342 0.770506 1.00122 0.410832 1.62567 1.58461 1.43241 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 4 fit: 5.19945 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.946635 0.971752 0.587506 0.769346 1.01342 0.494095 1.62598 1.57379 1.43193 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 5 fit: 5.19780 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.951461 0.971680 0.595180 0.769657 1.00462 0.559150 1.62606 1.56776 1.43178 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 6 fit: 5.19693 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.954553 0.971626 0.591777 0.769207 1.00005 0.615691 1.62665 1.56457 1.43171 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 7 fit: 5.19636 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.956597 0.971587 0.592690 0.769822 1.01424 0.657848 1.62690 1.56265 1.43163 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 8 fit: 5.19603 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.957948 0.971560 0.594835 0.768511 1.00488 0.686440 1.62682 1.56172 1.43165 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 9 fit: 5.19585 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.958816 0.971538 0.594056 0.768898 1.01469 0.708182 1.62723 1.56112 1.43158 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 10 fit: 5.19573 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.959402 0.971522 0.588515 0.770959 1.01704 0.727155 1.62708 1.56079 1.43152 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 11 fit: 5.19562 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.959788 0.971510 0.586945 0.770313 1.00501 0.738179 1.62725 1.56059 1.43160 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 12 fit: 5.19556 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.960054 0.971502 0.591119 0.769121 1.01588 0.748847 1.62741 1.56049 1.43155 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 13 fit: 5.19555 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.960239 0.971496 0.587640 0.766578 1.00469 0.753537 1.62736 1.56041 1.43152 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 14 fit: 5.19551 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.960370 0.971490 0.587387 0.769887 1.00372 0.755532 1.62741 1.56041 1.43143 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 15 fit: 5.19550 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.960436 0.971486 0.586397 0.770739 0.996136 0.762606 1.62751 1.56049 1.43143 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 16 fit: 5.19548 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.960476 0.971484 0.598473 0.770496 1.01780 0.770427 1.62757 1.56047 1.43147 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 17 fit: 5.19550 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.960502 0.971483 0.590097 0.770488 0.997597 0.772506 1.62759 1.56048 1.43151 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 18 fit: 5.19547 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.960505 0.971483 0.590777 0.770660 0.998859 0.772933 1.62758 1.56047 1.43151 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: iter: 19 fit: 5.19547 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: scales: 0.960505 0.971483 0.590777 0.770660 0.998859 0.772933 1.62758 1.56047 1.43151 SPFLUX_FITTEMPLATES: spFrame-r1-00061044.fits: template niter, coeffs: 19 0.960505 0.971483 0.590777 0.770660 0.998859 0.772933 1.62758 1.56047 1.43151 SPFLUX_V5: spFrame-r1-00061044.fits: Min/max fluxcalib = 0.0967747 0.708130 SPFLUX_FITTEMPLATES: spFrame-b1-00061045.fits: template niter, coeffs: 0 1.00000 SPFLUX_V5: spFrame-b1-00061045.fits: Min/max fluxcalib = 0.0879581 0.705166 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: HELIO_RV correction of -11.0874 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: HELIO_RV correction of -11.0874 applied to templates. SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 0 fit: 5.18076 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.941728 0.963287 0.515721 0.555453 1.16109 0.967403 1.89526 1.65151 1.67272 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 1 fit: 4.72830 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.957466 0.973019 0.701075 0.595468 1.22705 0.998488 1.81505 1.61299 1.55888 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 2 fit: 4.69272 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.967107 0.978211 0.749212 0.606691 1.25103 1.01790 1.77945 1.59282 1.50290 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 3 fit: 4.68424 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.973046 0.977918 0.763642 0.605319 1.23488 1.03231 1.76264 1.58159 1.47559 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 4 fit: 4.68171 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.976667 0.977708 0.769376 0.607485 1.25444 1.04141 1.75536 1.57555 1.45906 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 5 fit: 4.68152 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.978967 0.977560 0.763877 0.609852 1.23981 1.05354 1.75193 1.57217 1.45111 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 6 fit: 4.68162 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.980344 0.977454 0.765490 0.609135 1.22966 1.06017 1.75074 1.57027 1.44714 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 7 fit: 4.68170 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.981254 0.977380 0.764951 0.608068 1.24425 1.06575 1.75031 1.56925 1.44531 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 8 fit: 4.68175 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.981805 0.977327 0.764045 0.609336 1.25720 1.07174 1.75013 1.56875 1.44436 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 9 fit: 4.68178 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.982093 0.977291 0.766204 0.609899 1.23405 1.07567 1.75018 1.56836 1.44393 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 10 fit: 4.68180 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.982316 0.977263 0.767501 0.609793 1.25029 1.07753 1.75012 1.56813 1.44374 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: iter: 11 fit: 4.68181 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: scales: 0.982316 0.977263 0.767501 0.609793 1.25029 1.07753 1.75012 1.56813 1.44374 SPFLUX_FITTEMPLATES: spFrame-r1-00061045.fits: template niter, coeffs: 11 0.982316 0.977263 0.767501 0.609793 1.25029 1.07753 1.75012 1.56813 1.44374 SPFLUX_V5: spFrame-r1-00061045.fits: Min/max fluxcalib = 0.0906129 0.666401 SPCOMBINE_V5: SPFLUX_V5: using flux calibration stars: 1 2 9 20 51 150 177 179 195 221 225 262 SPFLUX_BESTMODEL: Fiber 322: Best-fit velocity for std star = -122.12174 km/s SPFLUX_BESTMODEL: Fiber 322: Best-fit total chi2/DOF = 1.55545 SPFLUX_BESTMODEL: Fiber 322: Best-fit line chi2/DOF = 2.6229070 SPFLUX_BESTMODEL: Fiber 322: Full median S/N = 9.93177 SPFLUX_BESTMODEL: Fiber 322: Line median S/N = 5.88464 SPFLUX_BESTMODEL: Fiber 323: Best-fit velocity for std star = -116.62792 km/s SPFLUX_BESTMODEL: Fiber 323: Best-fit total chi2/DOF = 1.37804 SPFLUX_BESTMODEL: Fiber 323: Best-fit line chi2/DOF = 2.4904057 SPFLUX_BESTMODEL: Fiber 323: Full median S/N = 9.87995 SPFLUX_BESTMODEL: Fiber 323: Line median S/N = 6.37243 SPFLUX_BESTMODEL: Fiber 330: Best-fit velocity for std star = -121.73616 km/s SPFLUX_BESTMODEL: Fiber 330: Best-fit total chi2/DOF = 1.58816 SPFLUX_BESTMODEL: Fiber 330: Best-fit line chi2/DOF = 2.6154825 SPFLUX_BESTMODEL: Fiber 330: Full median S/N = 10.8818 SPFLUX_BESTMODEL: Fiber 330: Line median S/N = 7.01693 SPFLUX_BESTMODEL: Fiber 341: Best-fit velocity for std star = -109.10019 km/s SPFLUX_BESTMODEL: Fiber 341: Best-fit total chi2/DOF = 1.44792 SPFLUX_BESTMODEL: Fiber 341: Best-fit line chi2/DOF = 2.5395919 SPFLUX_BESTMODEL: Fiber 341: Full median S/N = 11.5672 SPFLUX_BESTMODEL: Fiber 341: Line median S/N = 7.40929 SPFLUX_BESTMODEL: Fiber 372: Best-fit velocity for std star = -70.931548 km/s SPFLUX_BESTMODEL: Fiber 372: Best-fit total chi2/DOF = 1.18725 SPFLUX_BESTMODEL: Fiber 372: Best-fit line chi2/DOF = 2.0716005 SPFLUX_BESTMODEL: Fiber 372: Full median S/N = 8.73734 SPFLUX_BESTMODEL: Fiber 372: Line median S/N = 5.36018 SPFLUX_BESTMODEL: Fiber 471: Best-fit velocity for std star = -74.412346 km/s SPFLUX_BESTMODEL: Fiber 471: Best-fit total chi2/DOF = 6.21275 SPFLUX_BESTMODEL: Fiber 471: Best-fit line chi2/DOF = 20.495594 SPFLUX_BESTMODEL: Fiber 471: Full median S/N = 30.8905 SPFLUX_BESTMODEL: Fiber 471: Line median S/N = 28.4243 SPFLUX_BESTMODEL: Fiber 498: Best-fit velocity for std star = -134.89324 km/s SPFLUX_BESTMODEL: Fiber 498: Best-fit total chi2/DOF = 2.51015 SPFLUX_BESTMODEL: Fiber 498: Best-fit line chi2/DOF = 4.6225747 SPFLUX_BESTMODEL: Fiber 498: Full median S/N = 14.4209 SPFLUX_BESTMODEL: Fiber 498: Line median S/N = 8.98134 SPFLUX_BESTMODEL: Fiber 500: Best-fit velocity for std star = -79.738779 km/s SPFLUX_BESTMODEL: Fiber 500: Best-fit total chi2/DOF = 1.41094 SPFLUX_BESTMODEL: Fiber 500: Best-fit line chi2/DOF = 2.3532661 SPFLUX_BESTMODEL: Fiber 500: Full median S/N = 10.0866 SPFLUX_BESTMODEL: Fiber 500: Line median S/N = 5.92074 SPFLUX_BESTMODEL: Fiber 516: Best-fit velocity for std star = -119.05081 km/s SPFLUX_BESTMODEL: Fiber 516: Best-fit total chi2/DOF = 2.12171 SPFLUX_BESTMODEL: Fiber 516: Best-fit line chi2/DOF = 3.7973484 SPFLUX_BESTMODEL: Fiber 516: Full median S/N = 12.4229 SPFLUX_BESTMODEL: Fiber 516: Line median S/N = 7.40494 SPFLUX_BESTMODEL: Fiber 542: Best-fit velocity for std star = -41.622040 km/s SPFLUX_BESTMODEL: Fiber 542: Best-fit total chi2/DOF = 5.49396 SPFLUX_BESTMODEL: Fiber 542: Best-fit line chi2/DOF = 22.813336 SPFLUX_BESTMODEL: Fiber 542: Full median S/N = 31.0828 SPFLUX_BESTMODEL: Fiber 542: Line median S/N = 28.8519 SPFLUX_BESTMODEL: Fiber 546: Best-fit velocity for std star = -142.62606 km/s SPFLUX_BESTMODEL: Fiber 546: Best-fit total chi2/DOF = 1.31492 SPFLUX_BESTMODEL: Fiber 546: Best-fit line chi2/DOF = 2.3899724 SPFLUX_BESTMODEL: Fiber 546: Full median S/N = 10.4306 SPFLUX_BESTMODEL: Fiber 546: Line median S/N = 6.63962 SPFLUX_BESTMODEL: Fiber 583: Best-fit velocity for std star = -98.058112 km/s SPFLUX_BESTMODEL: Fiber 583: Best-fit total chi2/DOF = 1.97038 SPFLUX_BESTMODEL: Fiber 583: Best-fit line chi2/DOF = 5.2162553 SPFLUX_BESTMODEL: Fiber 583: Full median S/N = 0.00000 SPFLUX_BESTMODEL: Fiber 583: Line median S/N = 0.00000 SPFLUX_V5: Warning: Rejecting std star in fiber = 322 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 323 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 330 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 341 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 372 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 471 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 498 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 500 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 516 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 542 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 546 with too many IVAR=0 pixels in spFrame-r2-00061041.fits SPFLUX_V5: Warning: Rejecting std star in fiber = 583 with too many IVAR=0 pixels in spFrame-r2-00061041.fits