typedef struct {
int mjd;
int time;
char cameraVersion[20];
char iopVersion[20];
char opECalib[20];
} QAEXEC;

QAEXEC 53006 1073025014 {EXEC v4_9} v3_125_0 opECalib-52526.par

typedef struct {
char flavor[20];
int camRow;
int camCol;
int run;
int frame;
double leftOscanMean;
double leftOscanMeanErr;
double leftOscanSigma;
double leftOscanSigErr;
double leftImageMean;
double leftImageMeanErr;
double leftImageSigma;
double leftImageSigErr;
double rightOscanMean;
double rightOscanMeanErr;
double rightOscanSigma;
double rightOscanSigErr;
double rightImageMean;
double rightImageMeanErr;
double rightImageSigma;
double rightImageSigErr;
double leftGain;
double leftGainSig;
double rightGain;
double rightGainSig;
double leftSky;
double leftSkySig;
double rightSky;
double rightSkySig;
double oddEvenAmp;
double oddEvenAmpErr;
double nomLeftRN;
double nomRightRN;
double nomLeftBiasLevel;
double nomRightBiasLevel;
double nomLeftGain;
double nomRightGain;
double nomOddEvenAmp;
double nomSky;
double leftGainComp;
double rightGainComp;
double leftRNComp;
double rightRNComp;
double leftBiasLevelComp;
double rightBiasLevelComp;
double leftBiasVecComp;
double rightBiasVecComp;
double leftSkyComp;
double rightSkyComp;
int warning;
char warnInfo[80];
int failed;
char failInfo[80];
} IMAGERQA;


typedef struct {
double biasvecScale;
double oscan_left_start;
double oscan_left_end;
double oscan_right_start;
double oscan_right_end;
double extreg_left_start;
double extreg_right_start;
double extreg_bad_size;
double image_left_end;
double image_right_start;
double left_image_edge;
double right_image_edge;
double edgepad;
double image_row_start;
double goodrows_start;
double image_row_end;
double biasSubRowLen;
double biasSubColLen;
double brightSubRowLen;
double brightSubColLen;
double gainColStart;
double gainColEnd;
double mosaic_maxdim;
double gutter;
double nrows_keep;
double ncols_keep_amp;
double failRN;
double warnRN;
double failBiasVec;
double warnBiasVec;
double nFailBiasVec;
double nWarnBiasVec;
double warnBiasLevel;
double failBiasLevel;
double warnGain;
double failGain;
double warnOddEvenAmp;
double failOddEvenAmp;
} IDQACONSTANTS;

IDQACONSTANTS 32 2 18 2108 2124 20 2107 20 1063 1064 40 2087 100 0 100 1360 300 250 150 125 710 1450 4096 10 200 80 0.2 0.2 10 8 100 100 0.15 0.2 0.15 0.2 2 3

IMAGERQA bias 1 1 4358 35 1783.685615 0.00894528870585 1.270105 0.00632527430358 1784.368641 0.091273 1.333218 0.011732 1801.516419 0.00891072189683 1.265197 0.00630083187852 1802.189464 0.07366 1.318012 0.006344 0 0 0 0 0 0 0 0 -17.802362 0.00130356030891 1.35 1.35 1814 1817 0 0 0 0 0 0 -0.0591814814815 -0.062817037037 0.0163078475509 0.00815109301046 84 77 0 0 0 {11 WARN: } 0 {11 FAIL: }
IMAGERQA bias 1 2 4358 35 1042.823413 0.00603842994738 0.857372 0.00426981476351 1043.531395 0.031659 0.987202 0.003184 1038.227629 0.00509016687357 0.722732 0.00359929151367 1038.91977 0.032251 0.809643 0.008945 0 0 0 0 0 0 0 0 0 0 1.1 0.9 1044 1038 0 0 0 0 0 0 -0.220570909091 -0.196964444444 0.000451449903661 0.000886098265896 2 1 0 0 0 {12 WARN: } 0 {12 FAIL: }
IMAGERQA bias 1 3 4358 35 1793.234734 0.00742663102553 1.054477 0.00525142115952 1793.81344 0.043829 1.116721 0.003815 1793.286954 0.00744592871434 1.057217 0.00526506668614 1793.875253 0.038377 1.121547 0.006725 0 0 0 0 0 0 0 0 -0.0528980000001 0.00110016081324 1.15 1.15 1803 1803 0 0 0 0 0 0 -0.0830634782609 -0.0806808695652 0.00509515252357 0.00506086910704 5 5 0 0 0 {13 WARN: } 0 {13 FAIL: }
IMAGERQA bias 1 4 4358 35 1057.904771 0.00814682218074 1.156734 0.00576067320912 1058.409382 0.038881 1.199649 0.005588 1043.981647 0.00710369054184 1.008624 0.00502306775359 1044.472398 0.077583 1.068342 0.002642 0 0 0 0 0 0 0 0 0 0 1.2 1.1 1056 1042 0 0 0 0 0 0 -0.036055 -0.0830690909091 0.00231226679463 0.0023727428023 1 1 0 0 0 {14 WARN: } 0 {14 FAIL: }
IMAGERQA bias 1 5 4358 35 1135.101597 0.00526940296214 0.748181 0.00372603056734 1136.116181 0.058331 0.960256 0.00837 1126.40754 0.00575346506154 0.816911 0.00406831416033 1127.470564 0.019493 0.948031 0.00454 0 0 0 0 0 0 0 0 0 0 1 0.8 1135 1125 0 0 0 0 0 0 -0.251819 0.02113875 0.000992160888889 0.00219605688889 1 0 0 0 0 {15 WARN: } 0 {15 FAIL: }
IMAGERQA bias 1 6 4358 35 1210.703869 0.00727225655795 1.032558 0.00514226192665 1211.14188 0.020889 1.08185 0.003148 1205.735813 0.00606436914004 0.861055 0.00428815654254 1206.176138 0.077353 0.908629 0.004051 0 0 0 0 0 0 0 0 0 0 1 0.9 1206 1200 0 0 0 0 0 0 0.032558 -0.0432722222222 0.0042849 0.00514678166667 1 0 0 0 0 {16 WARN: } 0 {16 FAIL: }
IMAGERQA bias 2 1 4358 35 1195.917014 0.00797148788765 1.131839 0.0056366931415 1196.475047 0.044057 1.168968 0.003508 1191.918403 0.0334722145283 4.752583 0.0236684298743 1192.434912 0.022133 4.750394 0.107685 0 0 0 0 0 0 0 0 0 0 1.1 4.5 1203 1198 0 0 0 0 0 0 0.0289445454545 0.0561295555556 0.00544653839733 0.00464531552588 38 0 0 0 0 {21 WARN: } 0 {21 FAIL: }
IMAGERQA bias 2 2 4358 35 1172.390179 0.0258074260768 3.664291 0.0182486059839 1173.785301 0.04434 3.753753 0.009341 1170.646081 0.00660072515895 0.93721 0.00466741752064 1171.75743 0.036962 1.046719 0.007198 0 0 0 0 0 0 0 0 0 0 4 1 1177 1169 0 0 0 0 0 0 -0.08392725 -0.06279 0.00274995637297 0.00235879384089 2 0 0 0 0 {22 WARN: } 0 {22 FAIL: }
IMAGERQA bias 2 3 4358 35 1161.13745 0.0207075328863 2.940178 0.0146424369256 1161.888446 0.045136 2.978817 0.007873 1156.70501 0.00695412641057 0.987388 0.00491730994214 1157.497904 0.042526 1.074778 0.004489 0 0 0 0 0 0 0 0 0 0 3.2 1.1 1167 1161 0 0 0 0 0 0 -0.081194375 -0.102374545455 0.0044027166236 0.00301644788975 1 0 0 0 0 {23 WARN: } 0 {23 FAIL: }
IMAGERQA bias 2 4 4358 35 1018.634438 0.0224214845861 3.183535 0.0158543837951 1019.18615 0.03296 3.19711 0.01049 1011.691468 0.0134567221176 1.910665 0.00951533946189 1012.257121 0.027505 1.950703 0.006253 0 0 0 0 0 0 0 0 0 0 3.6 1.9 1016 1008 0 0 0 0 0 0 -0.115684722222 0.00561315789474 0.00316086309524 0.0042233343254 1 1 0 0 0 {24 WARN: } 0 {24 FAIL: }
IMAGERQA bias 2 5 4358 35 1882.88244 0.0206227146139 2.928135 0.01458246135 1883.233587 0.019558 2.981854 0.025779 1882.945833 0.0208771553453 2.964262 0.0147623781165 1883.285208 0.025545 2.978051 0.021455 0 0 0 0 0 0 0 0 -0.064296 0.00292794065938 2.8 2.8 1879 1879 0 0 0 0 0 0 0.0457625 0.058665 0.0022531064396 0.0022805790314 4 5 0 0 0 {25 WARN: } 0 {25 FAIL: }
IMAGERQA bias 2 6 4358 35 1085.171875 0.0229905973753 3.264341 0.0162568073076 1086.490018 0.058604 3.311353 0.030249 1085.468823 0.0080083295702 1.13707 0.00566274414507 1086.846095 0.11205 1.330046 0.009732 0 0 0 0 0 0 0 0 0 0 3.3 1.2 1087 1087 0 0 0 0 0 0 -0.0108057575758 -0.0524416666667 0.000469164673413 0.000141586936522 1 0 0 0 0 {26 WARN: } 0 {26 FAIL: }
IMAGERQA bias 3 1 4358 35 1132.351786 0.0141343034125 2.006872 0.0099944617903 1133.726145 0.05663 2.195298 0.00643 1130.11374 0.0260130802788 3.693491 0.0183940254647 1131.286462 0.056796 3.814612 0.014253 0 0 0 0 0 0 0 0 0 0 2.6 3.6 1133 1135 0 0 0 0 0 0 -0.228126153846 0.0259697222222 0.000639775330397 0.00327183964758 4 1 0 0 0 {31 WARN: } 0 {31 FAIL: }
IMAGERQA bias 3 2 4358 35 1726.045585 0.027201500977 3.86223 0.0192343657993 1727.508061 0.041332 4.00088 0.018676 1222.61627 0.0209705589763 2.977524 0.0148284244574 1223.732935 0.063597 3.040025 0.077705 0 0 0 0 0 0 0 0 0 0 4.5 2.6 1792 1232 0 0 0 0 0 0 -0.141726666667 0.145201538462 0.0523473530844 0.00671028003247 2 1 0 0 0 {32 WARN: } 0 {32 FAIL: }
IMAGERQA bias 3 3 4358 35 1218.189236 0.0182998081448 2.598315 0.0129399184336 1219.976193 0.052628 2.799156 0.018454 1211.342065 0.0174225662002 2.473759 0.0123196147058 1212.649091 0.131157 2.63497 0.018817 0 0 0 0 0 0 0 0 0 0 3.2 2.7 1228 1223 0 0 0 0 0 0 -0.1880265625 -0.083792962963 0.0065607579722 0.00846353965658 0 0 0 0 0 {33 WARN: } 0 {33 FAIL: }
IMAGERQA bias 3 4 4358 35 1219.386359 0.0229959641048 3.265103 0.0162606021584 1220.461814 0.089012 3.328531 0.013803 1230.954067 0.0222674340943 3.161662 0.0157454536477 1231.994104 0.071006 3.258365 0.009243 0 0 0 0 0 0 0 0 -11.512213 0.00323485847403 3.55 3.55 1252 1259 0 0 0 0 0 0 -0.0802526760563 -0.109390985915 0.0250501874504 0.0214502748213 3 3 0 0 0 {34 WARN: } 0 {34 FAIL: }
IMAGERQA bias 3 5 4358 35 1144.994147 0.0153586783813 2.180716 0.0108602256335 1147.266041 0.069666 2.579785 0.011362 1122.013146 0.0183683924126 2.608053 0.0129884148344 1123.650054 0.150795 2.820361 0.020278 0 0 0 0 0 0 0 0 0 0 3.1 3 1155 1129 0 0 0 0 0 0 -0.296543225806 -0.130649 0.00685027369353 0.00473865899026 4 1 0 0 0 {35 WARN: } 0 {35 FAIL: }
IMAGERQA bias 3 6 4358 35 1284.44504 0.0172492954921 2.449157 0.0121970938131 1285.328386 0.191314 2.53904 0.010422 1283.692063 0.0172552256578 2.449999 0.0122012870735 1284.610367 0.187003 2.541612 0.011173 0 0 0 0 0 0 0 0 0.73941 0.00250173385967 2.65 2.65 1303 1303 0 0 0 0 0 0 -0.0757898113208 -0.0754720754717 0.0135622517268 0.0141133023791 2 2 0 0 0 {36 WARN: } 0 {36 FAIL: }
IMAGERQA bias 4 1 4358 35 1160.005704 0.00557420080116 0.791458 0.00394155518619 1160.372722 0.100543 0.836956 0.004186 1169.391617 0.00573537876049 0.814343 0.00405552521421 1169.712762 0.10571 0.855216 0.003378 0 0 0 0 0 0 0 0 0 0 0.9 0.9 1166 1176 0 0 0 0 0 0 -0.120602222222 -0.0951744444444 0.00478510034014 0.00534629081633 50 51 0 0 0 {41 WARN: } 0 {41 FAIL: }
IMAGERQA bias 4 2 4358 35 1058.642574 0.00612659362205 0.86989 0.00433215589572 1059.010735 0.179947 0.908879 0.010436 1056.066815 0.00641877049086 0.911375 0.00453875614097 1056.405862 0.073319 0.950757 0.00348 0 0 0 0 0 0 0 0 0 0 1 1 1060 1057 0 0 0 0 0 0 -0.13011 -0.088625 0.00093591769158 0.000562098391674 1 1 0 0 0 {42 WARN: } 0 {42 FAIL: }
IMAGERQA bias 4 3 4358 35 1029.759573 0.00629074370717 0.893197 0.00444822753405 1030.049199 0.089588 0.938808 0.004571 1028.717659 0.00617771841151 0.877149 0.00436830658104 1028.943994 0.032018 0.906324 0.003544 0 0 0 0 0 0 0 0 0 0 1 1 1036 1036 0 0 0 0 0 0 -0.106803 -0.122851 0.00574401640927 0.00681081660232 1 0 0 0 0 {43 WARN: } 0 {43 FAIL: }
IMAGERQA bias 4 4 4358 35 1021.326488 0.0226043055373 3.209493 0.0159836577294 1021.614853 0.042775 3.267636 0.007208 1018.8938 0.0280497752595 3.982673 0.0198341862968 1019.15406 0.027341 3.960452 0.008793 0 0 0 0 0 0 0 0 0 0 3.1 4 1020 1019 0 0 0 0 0 0 0.0353203225806 -0.00433175 0.00158474288518 0.000151187438665 0 0 0 0 0 {44 WARN: } 0 {44 FAIL: }
IMAGERQA bias 4 5 4358 35 1061.345333 0.0104590163197 1.485033 0.00739564136419 1061.666877 0.161658 1.527756 0.008099 1061.009474 0.00855351745107 1.214479 0.00604825019265 1061.271279 0.113423 1.249787 0.002433 0 0 0 0 0 0 0 0 0 0 1.7 1.2 1064 1063 0 0 0 0 0 0 -0.126451176471 0.0120658333333 0.00219484760113 0.00162626622766 1 0 0 0 0 {45 WARN: } 0 {45 FAIL: }
IMAGERQA bias 4 6 4358 35 1043.572669 0.006622635783 0.940321 0.00468291067149 1043.821215 0.105336 0.977989 0.010005 1050.242659 0.00739983963565 1.050673 0.00523247678606 1050.485111 0.071828 1.080795 0.006208 0 0 0 0 0 0 0 0 0 0 1.1 1.1 1044 1049 0 0 0 0 0 0 -0.145162727273 -0.0448427272727 0.000170433746425 0.00141573975214 2 1 0 0 0 {46 WARN: } 0 {46 FAIL: }
IMAGERQA bias 5 1 4358 35 1572.608234 0.0289187699072 4.106058 0.0204486583049 1573.305594 0.069697 4.163539 0.029337 1591.664187 0.0288218166283 4.092292 0.020380101984 1592.305249 0.068009 4.175292 0.028775 0 0 0 0 0 0 0 0 -18.986212 0.00409410996295 3.95 3.95 1619 1620 0 0 0 0 0 0 0.0395083544304 0.0360232911392 0.0282064234568 0.0170955253086 19 18 0 0 0 {51 WARN: } 0 {51 FAIL: }
IMAGERQA bias 5 2 4358 35 1108.58879 0.00708979479731 1.006651 0.0050132419784 1109.118157 0.188945 1.068895 0.011459 1097.376637 0.00769140376763 1.092071 0.00543864376094 1097.913631 0.068279 1.160874 0.006343 0 0 0 0 0 0 0 0 0 0 1.1 1.3 1113 1104 0 0 0 0 0 0 -0.0848627272727 -0.159945384615 0.00351616213768 0.00551301539855 2 0 0 0 0 {52 WARN: } 0 {52 FAIL: }
IMAGERQA bias 5 3 4358 35 1128.223562 0.0084595433409 1.201136 0.00598180046209 1128.919887 0.094978 1.265588 0.012612 1123.340873 0.00609443550266 0.865324 0.00430941667143 1123.906695 0.084024 0.960422 0.010072 0 0 0 0 0 0 0 0 0 0 1.3 1 1137 1127 0 0 0 0 0 0 -0.0760492307692 -0.134676 0.00716957675244 0.00274472493345 2 1 0 0 0 {53 WARN: } 0 {53 FAIL: }
IMAGERQA bias 5 4 4358 35 1202.170089 0.0103169529324 1.464862 0.00729518737969 1202.745593 0.110336 1.506623 0.006692 1189.216518 0.00774919823275 1.100277 0.00547951061914 1189.733066 0.108281 1.155869 0.004967 0 0 0 0 0 0 0 0 0 0 1.6 1.2 1201 1185 0 0 0 0 0 0 -0.08446125 -0.0831025 0.0014730742616 0.00399414852321 2 0 0 0 0 {54 WARN: } 0 {54 FAIL: }
IMAGERQA bias 5 5 4358 35 1196.674256 0.00645753489934 0.916879 0.00456616671707 1197.166577 0.079439 0.980705 0.004266 1188.180357 0.00721794131118 1.024846 0.00510385524734 1188.663011 0.089161 1.080631 0.00468 0 0 0 0 0 0 0 0 0 0 1 1.1 1198 1189 0 0 0 0 0 0 -0.083121 -0.0683218181818 0.000700944491169 0.000283422203532 2 0 0 0 0 {55 WARN: } 0 {55 FAIL: }
IMAGERQA bias 5 6 4358 35 1071.657044 0.00730983070752 1.037893 0.00516883086262 1072.769906 0.082846 1.219368 0.006497 1071.195536 0.00675936765552 0.959735 0.00477959470575 1072.150368 0.083159 1.142882 0.00808 0 0 0 0 0 0 0 0 0 0 1.4 1.3 1074 1071 0 0 0 0 0 0 -0.258647857143 -0.261742307692 0.00114854715219 0.00107410644258 2 0 0 0 0 {56 WARN: } 0 {56 FAIL: }
IMAGERQA bias 6 0 4358 35 434.32376 0.00688534494014 0.977622 0.00486867409798 438.619388 0.311992 1.380822 0.024563 434.454514 0.0070702013045 1.003869 0.00499938728677 438.557088 0.377855 1.385057 0.014941 0 0 0 0 0 0 0 0 -0.075473 0.00141165249277 1.5 1.5 416 416 0 0 0 0 0 0 -0.348252 -0.330754 0.0543735288462 0.0542237692308 0 0 0 0 0 {60 WARN: } 0 {60 FAIL: }
IMAGERQA bias 6 1 4358 35 1258.100546 0.00787069619982 1.117528 0.00556542265555 1258.917019 0.091321 1.158759 0.007802 1277.936359 0.547489003487 77.735727 0.387133186991 1258.746927 0.086768 1.174333 0.009933 0 0 0 0 0 0 0 0 0.209255 0.00115037644928 1.1 1.1 1252 1252 0 0 0 0 0 0 0.0159345454545 69.6688427273 0.00552477555911 0.00538891932907 0 0 0 0 0 {61 WARN: } 0 {61 FAIL: }
IMAGERQA bias 6 2 4358 35 1167.538343 0.00764281444094 1.085172 0.00540428591854 1168.651249 0.052088 1.249416 0.003492 1167.868452 0.00829443541428 1.177693 0.00586505152755 1168.913801 0.06406 1.276276 0.011886 0 0 0 0 0 0 0 0 -0.298457 0.00124404439127 1.2 1.2 1146 1146 0 0 0 0 0 0 -0.09569 -0.0185891666667 0.0197654877836 0.0199945907504 0 0 0 0 0 {62 WARN: } 0 {62 FAIL: }
IMAGERQA bias 6 3 4358 35 1216.348313 0.0139163310872 1.975923 0.00984033208101 1220.426732 0.095595 2.089339 0.022835 1234.714583 0.489511076508 69.503678 0.346136601665 1220.740872 0.119102 2.087532 0.022137 0 0 0 0 0 0 0 0 -0.335499 0.00205456107405 2.1 2.1 1213 1213 0 0 0 0 0 0 -0.0590842857143 32.0969895238 0.00612261500412 0.00638159274526 0 0 0 0 0 {63 WARN: } 0 {63 FAIL: }
IMAGERQA bias 6 4 4358 35 254.093601 0.061818976993 8.777424 0.0437126178377 257.606548 0.131824 8.924904 0.093935 254.232391 0.0622910872026 8.844457 0.0440464501684 257.35865 0.194529 8.861762 0.0327 0 0 0 0 0 0 0 0 0.154875 0.00873312978635 7.8 7.8 239 239 0 0 0 0 0 0 0.125310769231 0.13390474359 0.077851665272 0.0768144351464 0 0 0 0 0 {64 WARN: } 0 {64 FAIL: }
IMAGERQA bias 6 5 4358 35 881.809226 0.0109559318067 1.555588 0.00774701367474 885.127046 0.203545 1.817926 0.011135 885.077877 0.0106940255461 1.518401 0.00756181798184 888.15509 0.322207 1.792379 0.035827 0 0 0 0 0 0 0 0 -3.172339 0.00181231740664 2 2 898 898 0 0 0 0 0 0 -0.222206 -0.2407995 0.0143351380846 0.0109631514477 0 0 0 0 0 {65 WARN: } 0 {65 FAIL: }
IMAGERQA bias 7 1 4358 35 757.146181 0.00897450287125 1.274253 0.00634593183804 758.943896 0.038242 1.438291 0.007876 757.404216 0.00902355703279 1.281218 0.00638061836831 759.120092 0.080302 1.446059 0.023264 0 0 0 0 0 0 0 0 -0.223195 0.00142218222166 1.4 1.4 704 704 0 0 0 0 0 0 -0.0898192857143 -0.0848442857143 0.0780453068182 0.0782955852273 0 0 0 0 0 {71 WARN: } 0 {71 FAIL: }
IMAGERQA bias 7 2 4358 35 965.077331 0.0078855709147 1.11964 0.00557594066731 967.028953 0.048145 1.321911 0.004461 965.687847 0.00778258182581 1.105017 0.00550311638417 967.55662 0.106843 1.33867 0.008342 0 0 0 0 0 0 0 0 -0.57742 0.00131291637664 1.3 1.3 948 948 0 0 0 0 0 0 -0.138738461538 -0.149986923077 0.0200727352321 0.0206293459916 0 0 0 0 0 {72 WARN: } 0 {72 FAIL: }
IMAGERQA bias 7 3 4358 35 995.464732 0.0111781087744 1.587134 0.0079041165152 998.539276 0.097631 1.795058 0.00967 996.008333 0.0109898295353 1.560401 0.00777098298847 999.049187 0.064807 1.813246 0.008431 0 0 0 0 0 0 0 0 -0.547879 0.00177656215036 1.9 1.9 1019 1019 0 0 0 0 0 0 -0.164666315789 -0.178736315789 0.020079218842 0.0195788155054 0 0 0 0 0 {73 WARN: } 0 {73 FAIL: }
IMAGERQA bias 7 4 4358 35 887.278175 0.00713424286815 1.012962 0.0050446715107 888.763984 0.027088 1.185049 0.005781 887.044246 0.00711395212309 1.010081 0.00503032378727 888.418668 0.071241 1.171001 0.022352 0 0 0 0 0 0 0 0 0.307349 0.00116208608792 1.2 1.2 856 856 0 0 0 0 0 0 -0.155865 -0.158265833333 0.038275682243 0.0378722757009 0 0 0 0 0 {74 WARN: } 0 {74 FAIL: }
IMAGERQA bias 7 5 4358 35 1083.014187 0.0116604312646 1.655617 0.00824517001875 1086.584199 0.114025 1.977098 0.012774 1082.746478 0.0115601184975 1.641374 0.00817423818091 1086.095533 0.16656 1.912274 0.018028 0 0 0 0 0 0 0 0 0.414425 0.00192032247749 1.9 1.9 1089 1089 0 0 0 0 0 0 -0.128622631579 -0.136118947368 0.00221836639118 0.00266709550046 0 0 0 0 0 {75 WARN: } 0 {75 FAIL: }
IMAGERQA bias 7 6 4358 35 929.816766 0.0109164349312 1.54998 0.00771908516623 942.214981 8.251843 5.727496 5.42629 947.573264 0.482107602709 68.452489 0.340901555137 938.627521 4.253487 2.986706 1.596047 0 0 0 0 0 0 0 0 0.136611 0.0102835708297 6 3 936 936 0 0 0 0 0 0 -0.74167 21.8174963333 0.00663993696581 0.00280718055556 0 0 0 0 0 {76 WARN: } 0 {76 FAIL: }
IMAGERQA bias 8 1 4358 35 509.171577 0.00803839593281 1.141339 0.00568400427395 512.218744 0.103584 1.476322 0.010214 509.177232 0.00801544295185 1.13808 0.00566777406546 512.224201 0.094697 1.489469 0.014281 0 0 0 0 0 0 0 0 0.026943 0.00146037188309 1.4 1.4 499 499 0 0 0 0 0 0 -0.184757857143 -0.187085714286 0.0264904689379 0.0265014048096 0 0 0 0 0 {81 WARN: } 0 {81 FAIL: }
IMAGERQA bias 8 2 4358 35 757.480258 0.00834869431744 1.185397 0.00590341836591 760.995465 0.081548 1.506284 0.005804 756.886706 0.00867123335285 1.231193 0.00613148790505 760.298454 0.064179 1.498583 0.007268 0 0 0 0 0 0 0 0 0.68243 0.00147651562038 1.6 1.6 739 739 0 0 0 0 0 0 -0.259126875 -0.230504375 0.0297638227334 0.0288206414073 0 0 0 0 0 {82 WARN: } 0 {82 FAIL: }
IMAGERQA bias 8 3 4358 35 475.828621 0.0100952971432 1.43339 0.00713845306806 479.265554 0.188031 1.770148 0.03147 475.435863 0.0108304404858 1.53777 0.00765827791073 478.654536 0.193848 1.751035 0.019103 0 0 0 0 0 0 0 0 0.555655 0.00173835517019 1.8 1.8 456 456 0 0 0 0 0 0 -0.203672222222 -0.145683333333 0.0510209517544 0.049681 0 0 0 0 0 {83 WARN: } 0 {83 FAIL: }
IMAGERQA bias 8 4 4358 35 1140.354514 0.0147745288893 2.097775 0.0104471695664 1144.824253 0.158162 2.230005 0.007122 1155.091815 0.40895128988 58.065323 0.289172230249 1144.459726 0.110574 2.236992 0.010536 0 0 0 0 0 0 0 0 0.32324 0.00219592372792 2.4 2.4 1134 1134 0 0 0 0 0 0 -0.125927083333 23.1938845833 0.00954519664903 0.00922374426808 0 0 0 0 0 {84 WARN: } 0 {84 FAIL: }
IMAGERQA bias 8 5 4358 35 1261.548512 0.0240085786322 3.40888 0.0169766287574 1263.835382 0.208895 3.112442 0.047866 1271.953571 0.290400819403 41.232826 0.205344388662 1263.416355 0.303415 3.11993 0.060874 0 0 0 0 0 0 0 0 0.495202 0.00307130449183 3.1 3.1 1251 1251 0 0 0 0 0 0 0.0996387096774 12.3009116129 0.010260097522 0.00992514388489 0 0 0 0 0 {85 WARN: } 0 {85 FAIL: }
IMAGERQA bias 8 6 4358 35 710.510119 0.00745895817577 1.059067 0.00527427990667 712.970787 0.084776 1.338388 0.01269 710.182837 0.00750042707787 1.064955 0.00530360284856 712.587321 0.072047 1.329183 0.010093 0 0 0 0 0 0 0 0 0.355257 0.00131417008244 1.3 1.3 699 699 0 0 0 0 0 0 -0.185333076923 -0.180803846154 0.0199868197425 0.0194382274678 0 0 0 0 0 {86 WARN: } 0 {86 FAIL: }
IMAGERQA bias 9 0 4358 35 1264.897321 0.0108954891916 1.547006 0.00770427429172 1268.278579 0.437708 1.432776 0.014554 1283.578026 0.503989139371 71.559359 0.356374138093 1268.422036 0.588164 1.42537 0.044601 0 0 0 0 0 0 0 0 -0.271357 0.00149417400389 1.5 1.5 1254 1254 0 0 0 0 0 0 0.0313373333333 46.7062393333 0.0113864266348 0.0115008261563 0 0 0 0 0 {90 WARN: } 0 {90 FAIL: }
IMAGERQA bias 9 1 4358 35 1053.25506 0.0102546087202 1.45601 0.00725110336449 1056.130642 0.065782 1.658038 0.007858 1072.498363 0.512663499794 72.790996 0.362507837171 1056.558063 0.068387 1.665085 0.007682 0 0 0 0 0 0 0 0 -0.417671 0.00163299643347 1.6 1.6 1045 1045 0 0 0 0 0 0 -0.08999375 44.4943725 0.0106513320574 0.0110603473684 0 0 0 0 0 {91 WARN: } 0 {91 FAIL: }
IMAGERQA bias 9 2 4358 35 1118.59628 0.00934925835371 1.327463 0.00661092398097 1120.478996 0.081574 1.406167 0.009782 1134.081101 0.406529387676 57.721447 0.287459686777 1121.024237 0.083439 1.399388 0.009293 0 0 0 0 0 0 0 0 -0.537487 0.00137922180258 1.4 1.4 1109 1109 0 0 0 0 0 0 -0.0518121428571 40.229605 0.0103507628494 0.0108424138864 0 0 0 0 0 {92 WARN: } 0 {92 FAIL: }
IMAGERQA bias 9 3 4358 35 750.756784 0.00725251516315 1.029755 0.00512830265252 753.543697 0.201685 1.370832 0.020218 750.892907 0.00735262368462 1.043969 0.00519909006691 753.588869 0.162628 1.36704 0.012825 0 0 0 0 0 0 0 0 -0.108594 0.0013594582408 1.4 1.4 733 733 0 0 0 0 0 0 -0.264460714286 -0.254307857143 0.0280268717599 0.0280884979536 0 0 0 0 0 {93 WARN: } 0 {93 FAIL: }
IMAGERQA bias 9 4 4358 35 972.098462 0.00794945049046 1.12871 0.00562111034851 975.49657 0.127491 1.3668 0.013557 987.319097 0.403133487451 57.239277 0.2850584227 975.958099 0.108722 1.378393 0.010919 0 0 0 0 0 0 0 0 -0.406182 0.00135351204008 1.4 1.4 959 959 0 0 0 0 0 0 -0.193778571429 39.8851978571 0.0172018456726 0.0176831063608 0 0 0 0 0 {94 WARN: } 0 {94 FAIL: }
IMAGERQA bias 9 5 4358 35 553.011855 0.00676281870206 0.960225 0.00478203496416 554.946843 0.121923 1.14003 0.017696 553.284573 0.00670549611473 0.952086 0.00474150177394 555.176027 0.101822 1.137275 0.013488 0 0 0 0 0 0 0 0 -0.250703 0.0011229434516 1.1 1.1 528 528 0 0 0 0 0 0 -0.127068181818 -0.134467272727 0.0510356875 0.0514697481061 0 0 0 0 0 {95 WARN: } 0 {95 FAIL: }

IDQACONSTANTS 32 2 18 2108 2124 20 2107 20 1063 1064 40 2087 100 0 100 1360 300 250 150 125 710 1450 4096 10 200 80 0.2 0.2 10 8 100 100 0.15 0.2 0.15 0.2 2 3

QAEXEC 53006 1073025798 {EXEC v4_9} v3_125_0 opECalib-52526.par


IMAGERQA LED 1 1 4359 35 1784.01245 0 1.2888 0 0 0 0 0 1801.999206 0 1.293643 0 0 0 0 0 4.544532 0.040451 4.574315 0.045973 173.599114 1.194117 169.244819 10.932439 0 0 0 0 0 0 4.71 4.71 0 0 -0.0351312101911 -0.0288078556263 0 0 0 0 0 0 0 0 0 {11 WARN: } 0 {11 FAIL: }
IMAGERQA LED 1 2 4359 35 1043.330109 0 0.889537 0 0 0 0 0 1038.726786 0 0.700239 0 0 0 0 0 4.660527 0.042316 4.512168 0.027938 166.088721 2.352288 174.448763 0.828426 0 0 0 0 0 0 4.62 4.58 0 0 0.00877207792208 -0.0148104803493 0 0 0 0 0 0 0 0 0 {12 WARN: } 0 {12 FAIL: }
IMAGERQA LED 1 3 4359 35 1793.804256 0 1.069943 0 0 0 0 0 1793.894191 0 1.093462 0 0 0 0 0 4.765785 0.028977 4.747176 0.08768 173.173421 1.977871 169.229877 11.254925 0 0 0 0 0 0 4.72 4.72 0 0 0.00970021186441 0.00575762711864 0 0 0 0 0 0 0 0 0 {13 WARN: } 0 {13 FAIL: }
IMAGERQA LED 1 4 4359 35 1058.27284 0 1.166815 0 0 0 0 0 1044.343552 0 1.031608 0 0 0 0 0 4.724509 0.074726 5.051122 0.037737 172.869127 2.813673 160.118887 1.667065 0 0 0 0 0 0 4.76 4.76 0 0 -0.00745609243697 0.0611600840336 0 0 0 0 0 0 0 0 0 {14 WARN: } 0 {14 FAIL: }
IMAGERQA LED 1 5 4359 35 1135.501091 0 0.816253 0 0 0 0 0 1126.870387 0 0.828747 0 0 0 0 0 4.837545 0.071201 4.628897 0.046955 171.678357 1.174392 177.240343 1.420938 0 0 0 0 0 0 4.96 4.49 0 0 -0.0246885080645 0.0309347438753 0 0 0 0 0 0 0 0 0 {15 WARN: } 0 {15 FAIL: }
IMAGERQA LED 1 6 4359 35 1211.441617 0 1.064145 0 0 0 0 0 1206.364633 0 0.879624 0 0 0 0 0 4.820821 0.066384 4.695491 0.034142 165.987373 1.618954 168.318784 0.814063 0 0 0 0 0 0 4.95 4.84 0 0 -0.0260967676768 -0.029857231405 0 0 0 0 0 0 0 0 0 {16 WARN: } 0 {16 FAIL: }
IMAGERQA LED 2 1 4359 35 1196.491369 0 1.165827 0 0 0 0 0 1192.429415 0 4.841954 0 0 0 0 0 5.203293 0.042805 5.139333 0.113203 229.262624 0.67502 231.437009 0.662187 0 0 0 0 0 0 5.46 4.87 0 0 -0.0470159340659 0.0553045174538 0 0 0 0 0 0 0 0 0 {21 WARN: } 0 {21 FAIL: }
IMAGERQA LED 2 2 4359 35 1172.559425 0 3.689518 0 0 0 0 0 1171.196081 0 0.961663 0 0 0 0 0 4.422249 0.065852 6.12466 0.073291 263.886913 2.207529 194.891067 0.36948 0 0 0 0 0 0 4.39 6 0 0 0.00734601366743 0.0207766666667 0 0 0 0 0 0 0 0 0 {22 WARN: } 0 {22 FAIL: }
IMAGERQA LED 2 3 4359 35 1161.622768 0 2.994209 0 0 0 0 0 1157.263938 0 1.03377 0 0 0 0 0 4.953443 0.071883 4.55364 0.061243 235.323529 2.304154 253.197496 0.433204 0 0 0 0 0 0 5.09 4.63 0 0 -0.0268284872299 -0.0164924406048 0 0 0 0 0 0 0 0 0 {23 WARN: } 0 {23 FAIL: }
IMAGERQA LED 2 4 4359 35 1019.069799 0 3.295654 0 0 0 0 0 1012.116071 0 1.932317 0 0 0 0 0 4.998941 0.062432 4.859738 0.039083 242.857102 0.982158 250.92628 0.408311 0 0 0 0 0 0 4.9 4.87 0 0 0.0201920408163 -0.00210718685832 0 0 0 0 0 0 0 0 0 {24 WARN: } 0 {24 FAIL: }
IMAGERQA LED 2 5 4359 35 1883.396865 0 3.06199 0 0 0 0 0 1883.540873 0 3.072764 0 0 0 0 0 4.958586 0.072769 4.923026 0.076219 234.687284 1.455167 229.303145 14.602316 0 0 0 0 0 0 4.64 4.64 0 0 0.0686607758621 0.0609969827586 0 0 0 0 0 0 0 0 0 {25 WARN: } 0 {25 FAIL: }
IMAGERQA LED 2 6 4359 35 1085.711657 0 3.278408 0 0 0 0 0 1085.965873 0 1.194118 0 0 0 0 0 5.001818 0.059534 5.185208 0.031109 243.082785 1.044523 223.665651 1.001612 0 0 0 0 0 0 4.37 5.15 0 0 0.144580778032 0.00683650485437 0 0 0 0 0 0 0 0 0 {26 WARN: } 0 {26 FAIL: }
IMAGERQA LED 3 1 4359 35 1132.312202 0 2.036777 0 0 0 0 0 1130.586161 0 3.772974 0 0 0 0 0 1.610802 0.018861 1.60274 0.020771 184.058066 2.550536 174.501915 7.573142 0 0 0 0 0 0 1.63 1.61 0 0 -0.0117779141104 -0.00450931677019 0 0 0 0 0 0 0 0 0 {31 WARN: } 0 {31 FAIL: }
IMAGERQA LED 3 2 4359 35 1726.16994 0 3.970438 0 0 0 0 0 1223.073767 0 2.991549 0 0 0 0 0 1.884319 0.025805 1.800276 0.03602 132.461511 3.908366 139.086523 2.289392 0 0 0 0 0 0 1.85 1.8 0 0 0.0185508108108 0.000153333333333 0 0 0 0 0 0 0 0 0 {32 WARN: } 0 {32 FAIL: }
IMAGERQA LED 3 3 4359 35 1218.876091 0 2.636497 0 0 0 0 0 1211.812134 0 2.483955 0 0 0 0 0 1.508514 0.020723 1.530493 0.014123 157.554535 8.886577 160.703068 7.090904 0 0 0 0 0 0 1.53 1.65 0 0 -0.0140431372549 -0.0724284848485 0 0 0 0 0 0 0 0 0 {33 WARN: } 0 {33 FAIL: }
IMAGERQA LED 3 4 4359 35 1219.66498 0 3.264629 0 0 0 0 0 1231.389603 0 3.223476 0 0 0 0 0 1.605327 0.015625 1.591529 0.017761 145.644837 8.780004 143.844932 11.082336 0 0 0 0 0 0 1.6 1.6 0 0 0.003329375 -0.005294375 0 0 0 0 0 0 0 0 0 {34 WARN: } 0 {34 FAIL: }
IMAGERQA LED 3 5 4359 35 1145.405556 0 2.257551 0 0 0 0 0 1122.35311 0 2.666134 0 0 0 0 0 1.373456 0.035985 1.436148 0.01079 171.486886 0.650256 168.662144 1.864553 0 0 0 0 0 0 1.49 1.45 0 0 -0.0782174496644 -0.00955310344828 0 0 0 0 0 0 0 0 0 {35 WARN: } 0 {35 FAIL: }
IMAGERQA LED 3 6 4359 35 1284.74721 0 2.498909 0 0 0 0 0 1284.168353 0 2.550663 0 0 0 0 0 2.241251 0.019948 2.246794 0.033431 111.900905 5.149937 109.170162 10.179551 0 0 0 0 0 0 2.17 2.17 0 0 0.032834562212 0.0353889400922 0 0 0 0 0 0 0 0 0 {36 WARN: } 0 {36 FAIL: }
IMAGERQA LED 4 1 4359 35 1160.29494 0 0.812608 0 0 0 0 0 1169.639087 0 0.827 0 0 0 0 0 4.613003 0.05391 4.680706 0.046381 75.451383 0.238794 73.288328 0.370164 0 0 0 0 0 0 4.68 4.81 0 0 -0.0143155982906 -0.0268802494802 0 0 0 0 0 0 0 0 0 {41 WARN: } 0 {41 FAIL: }
IMAGERQA LED 4 2 4359 35 1059.150553 0 0.888442 0 0 0 0 0 1056.482341 0 0.923935 0 0 0 0 0 4.908034 0.035426 4.665988 0.063742 74.318717 0.270604 75.970236 0.573418 0 0 0 0 0 0 5.68 4.63 0 0 -0.135909507042 0.00777278617711 0 0 0 0 0 0 0 0 0 {42 WARN: } 0 {42 FAIL: }
IMAGERQA LED 4 3 4359 35 1030.044395 0 0.932686 0 0 0 0 0 1028.891071 0 0.890782 0 0 0 0 0 4.541051 0.105509 4.789089 0.067926 68.769273 0.272191 62.709762 0.331776 0 0 0 0 0 0 4.66 5.11 0 0 -0.0255255364807 -0.0628005870841 0 0 0 0 0 0 0 0 0 {43 WARN: } 0 {43 FAIL: }
IMAGERQA LED 4 4 4359 35 1021.533135 0 3.278022 0 0 0 0 0 1019.111558 0 3.969165 0 0 0 0 0 4.491317 0.077777 4.236033 0.092377 63.683447 0.379466 65.116699 0.189283 0 0 0 0 0 0 4.74 4.81 0 0 -0.0524647679325 -0.119327858628 0 0 0 0 0 0 0 0 0 {44 WARN: } 0 {44 FAIL: }
IMAGERQA LED 4 5 4359 35 1061.700551 0 1.465776 0 0 0 0 0 1061.216419 0 1.210584 0 0 0 0 0 3.368764 0.035669 3.577496 0.038478 108.67292 0.849994 99.977363 0.396761 0 0 0 0 0 0 3.41 3.55 0 0 -0.0120926686217 0.00774535211268 0 0 0 0 0 0 0 0 0 {45 WARN: } 0 {45 FAIL: }
IMAGERQA LED 4 6 4359 35 1044.083284 0 1.042765 0 0 0 0 0 1050.673214 0 1.090206 0 0 0 0 0 4.663424 0.053572 4.457703 0.036093 69.400815 0.284408 71.973488 0.243817 0 0 0 0 0 0 4.96 4.42 0 0 -0.0597935483871 0.00853009049774 0 0 0 0 0 0 0 0 0 {46 WARN: } 0 {46 FAIL: }
IMAGERQA LED 5 1 4359 35 1572.675 0 4.125479 0 0 0 0 0 1592.062252 0 4.143405 0 0 0 0 0 3.194339 0.039669 3.318959 0.04266 145.930971 0.868437 143.197564 8.012711 0 0 0 0 0 0 3.32 3.32 0 0 -0.0378496987952 -0.000313554216867 0 0 0 0 0 0 0 0 0 {51 WARN: } 0 {51 FAIL: }
IMAGERQA LED 5 2 4359 35 1108.778472 0 1.031706 0 0 0 0 0 1097.692163 0 1.110099 0 0 0 0 0 4.198597 0.043228 3.673641 0.031147 119.096044 0.881918 132.522114 1.487267 0 0 0 0 0 0 4.2 3.51 0 0 -0.000334047619048 0.0466213675214 0 0 0 0 0 0 0 0 0 {52 WARN: } 0 {52 FAIL: }
IMAGERQA LED 5 3 4359 35 1128.511657 0 1.219372 0 0 0 0 0 1123.680655 0 0.900564 0 0 0 0 0 3.900916 0.029815 3.950817 0.042899 123.696576 2.088707 118.857801 2.234318 0 0 0 0 0 0 3.79 3.9 0 0 0.0292654353562 0.01303 0 0 0 0 0 0 0 0 0 {53 WARN: } 0 {53 FAIL: }
IMAGERQA LED 5 4 4359 35 1202.407986 0 1.471005 0 0 0 0 0 1189.469643 0 1.109917 0 0 0 0 0 3.874702 0.049689 3.930174 0.030878 125.03228 2.374378 120.355381 1.537865 0 0 0 0 0 0 3.85 4.14 0 0 0.0064161038961 -0.0506826086957 0 0 0 0 0 0 0 0 0 {54 WARN: } 0 {54 FAIL: }
IMAGERQA LED 5 5 4359 35 1196.953175 0 0.95332 0 0 0 0 0 1188.434226 0 1.033679 0 0 0 0 0 4.092099 0.045378 3.908517 0.036372 108.927113 0.726337 114.589895 0.561779 0 0 0 0 0 0 4.2 3.9 0 0 -0.0256907142857 0.00218384615385 0 0 0 0 0 0 0 0 0 {55 WARN: } 0 {55 FAIL: }
IMAGERQA LED 5 6 4359 35 1072.17877 0 1.106925 0 0 0 0 0 1071.630159 0 1.026012 0 0 0 0 0 3.962292 0.033398 4.029721 0.0433 120.062731 1.067619 118.624513 0.476563 0 0 0 0 0 0 3.99 4.08 0 0 -0.00694436090226 -0.0123232843137 0 0 0 0 0 0 0 0 0 {56 WARN: } 0 {56 FAIL: }