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

QAEXEC 53801 1141723622 {EXEC v4_9} v4_19_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 6049 35 1775.030804 0.00838188775079129 1.19011 0.00592688966772898 1775.654 0.09285314 1.26601 0.01292364 1792.521677 0.00890491146133003 1.264372 0.00629672328017228 1793.2 0.07623063 1.322818 0.007321494 0 0 0 0 0 0 0 0 -17.52845 0.00127397670523923 1.35 1.35 1814 1817 0 0 0 0 0 0 -0.118437037037037 -0.0634281481481482 0.0211040176114474 0.0130985140341222 77 70 0 0 0 {11 WARN: } 0 {11 FAIL: }
IMAGERQA bias 1 2 6049 35 1053.321081 0.00622290599232668 0.883565 0.0044002590258606 1054.05 0.03883521 1.003725 0.002363261 1049.107738 0.0052415340005923 0.744224 0.00370632423563867 1049.878 0.03333362 0.8892314 0.007988808 0 0 0 0 0 0 0 0 0 0 1.1 0.9 1044 1038 0 0 0 0 0 0 -0.196759090909091 -0.173084444444444 0.00968208092485545 0.0114431599229286 11 24 0 0 0 {12 WARN: } 0 {12 FAIL: }
IMAGERQA bias 1 3 6049 35 1757.308085 0.00752849324207917 1.06894 0.00532344862359128 1757.892 0.04095772 1.141354 0.005589357 1757.345982 0.00753311341867169 1.069596 0.00532671558179012 1757.937 0.03443494 1.146766 0.004262638 0 0 0 0 0 0 0 0 -0.0338719999999739 0.0011238627083969 1.15 1.15 1803 1803 0 0 0 0 0 0 -0.0704869565217391 -0.0699165217391304 0.0250183028286189 0.0249933444259568 4 4 0 0 0 {13 WARN: } 0 {13 FAIL: }
IMAGERQA bias 1 4 6049 35 1056.448165 0.00812732728926706 1.153966 0.00574688823916322 1056.97 0.04043561 1.19975 0.003620264 1043.139534 0.00715911153209795 1.016493 0.00506225631161727 1043.605 0.08967785 1.079139 0.003472795 0 0 0 0 0 0 0 0 0 0 1.2 1.1 1056 1042 0 0 0 0 0 0 -0.0383616666666666 -0.0759154545454545 0.000930902111324402 0.00154030710172746 1 1 0 0 0 {14 WARN: } 0 {14 FAIL: }
IMAGERQA bias 1 5 6049 35 1132.650496 0.00606973586956138 0.861817 0.00429195139337808 1133.721 0.05973048 0.9582133 0.003699334 1123.36994 0.00554557824373088 0.787394 0.00392131598174269 1124.461 0.03130261 0.9305948 0.002641502 0 0 0 0 0 0 0 0 0 0 1 0.8 1135 1125 0 0 0 0 0 0 -0.138183 -0.0157575 0.00113688888888889 0.0004791111111111 30 46 0 0 0 {15 WARN: } 0 {15 FAIL: }
IMAGERQA bias 1 6 6049 35 1203.758421 0.00734270720803348 1.042561 0.00519207805906781 1204.199 0.03816876 1.085538 0.003513643 1200.49437 0.00624367565813664 0.886514 0.00441494539739779 1200.962 0.03910191 0.9377266 0.002762961 0 0 0 0 0 0 0 0 0 0 1 0.9 1206 1200 0 0 0 0 0 0 0.0425610000000001 -0.0149844444444444 0.00150083333333328 0.000801666666666658 2 0 0 0 0 {16 WARN: } 0 {16 FAIL: }
IMAGERQA bias 2 1 6049 35 1190.255208 0.00743318801395428 1.055408 0.00525605765050164 1190.791 0.04551513 1.097421 0.003223736 1185.339286 0.0330904583514759 4.698379 0.0233984874928997 1185.835 0.06210976 4.704275 0.02192513 0 0 0 0 0 0 0 0 0 0 1.1 4.5 1203 1198 0 0 0 0 0 0 -0.040538181818182 0.0440842222222222 0.0101911519198665 0.0101544240400667 33 0 0 0 0 {21 WARN: } 0 {21 FAIL: }
IMAGERQA bias 2 2 6049 35 1183.447073 0.0258297592779596 3.667462 0.0182643979418614 1184.864 0.0408665 3.714412 0.01754845 1180.118254 0.00679293436533257 0.964501 0.0048033299538818 1181.253 0.02841169 1.077054 0.006396809 0 0 0 0 0 0 0 0 0 0 4 1 1177 1169 0 0 0 0 0 0 -0.0831345 -0.0354989999999999 0.00672711719418309 0.0104816082121471 1 6 0 0 0 {22 WARN: } 0 {22 FAIL: }
IMAGERQA bias 2 3 6049 35 1139.832093 0.0195007159971433 2.768827 0.013789088519573 1140.548 0.03243397 2.815753 0.028719 1134.3875 0.00651122332337519 0.924502 0.00460413016577861 1135.111 0.01969793 0.9811819 0.002105918 0 0 0 0 0 0 0 0 0 0 3.2 1.1 1167 1161 0 0 0 0 0 0 -0.1347415625 -0.159543636363636 0.0227838070628768 0.0222988802756244 0 0 0 0 0 {23 WARN: } 0 {23 FAIL: }
IMAGERQA bias 2 4 6049 35 1017.55975 0.0246611151892816 3.501531 0.0174380417819636 1018.129 0.03242987 3.535884 0.02903101 1010.912103 0.0121567481006798 1.726087 0.0085961190191674 1011.484 0.06639018 1.761128 0.006287541 0 0 0 0 0 0 0 0 0 0 3.6 1.9 1016 1008 0 0 0 0 0 0 -0.0273525 -0.0915331578947368 0.00211210317460319 0.00345634920634924 0 0 0 0 0 {24 WARN: } 0 {24 FAIL: }
IMAGERQA bias 2 5 6049 35 1875.006399 0.0208066342656455 2.954249 0.0147125121829063 1875.382 0.02348978 2.995917 0.07469849 1874.999206 0.0208960656717001 2.966947 0.0147757497365785 1875.358 0.02058822 2.991516 0.07386445 0 0 0 0 0 0 0 0 0.0253690000001825 0.00293757696871459 2.8 2.8 1879 1879 0 0 0 0 0 0 0.0550889285714286 0.0596239285714286 0.00192549228312929 0.0019382650345929 46 47 0 0 0 {25 WARN: } 0 {25 FAIL: }
IMAGERQA bias 2 6 6049 35 1081.506499 0.021089725726219 2.994444 0.0149126880743738 1082.81 0.0352602 3.070242 0.01057089 1081.632819 0.00749340525460369 1.063958 0.00529863766970918 1082.893 0.08961564 1.166618 0.06717194 0 0 0 0 0 0 0 0 0 0 3.3 1.2 1087 1087 0 0 0 0 0 0 -0.0925927272727272 -0.113368333333333 0.00385464581416748 0.00377828886844524 1 0 0 0 0 {26 WARN: } 0 {26 FAIL: }
IMAGERQA bias 3 1 6049 35 1125.325099 0.0145398506815942 2.064454 0.0102812270143951 1126.723 0.04430416 2.258346 0.005745279 1123.35005 0.0236766020409005 3.361744 0.016741885858576 1124.529 0.05039923 3.471686 0.009257383 0 0 0 0 0 0 0 0 0 0 2.6 3.6 1133 1135 0 0 0 0 0 0 -0.205979230769231 -0.0661822222222223 0.00553039647577096 0.00922555066079295 3 1 0 0 0 {31 WARN: } 0 {31 FAIL: }
IMAGERQA bias 3 2 6049 35 1753.966617 0.026776184141261 3.801841 0.0189336213805853 1755.434 0.02558646 3.914353 0.008361513 1232.534028 0.0182465986415038 2.59076 0.0129022936329966 1233.68 0.07650479 2.74237 0.02768968 0 0 0 0 0 0 0 0 0 0 4.5 2.6 1792 1232 0 0 0 0 0 0 -0.155146444444444 -0.00355384615384621 0.0296801948051948 0.00136363636363642 2 1 0 0 0 {32 WARN: } 0 {32 FAIL: }
IMAGERQA bias 3 3 6049 35 1186.948462 0.0170098703346553 2.415162 0.0120277946607386 1188.698 0.05111531 2.639631 0.01757785 1191.220685 0.0169798814445167 2.410904 0.0120065893131614 1192.597 0.1384894 2.587388 0.02066178 0 0 0 0 0 0 0 0 0 0 3.2 2.7 1228 1223 0 0 0 0 0 0 -0.245261875 -0.107072592592593 0.0321357318070318 0.0248593622240393 1 0 0 0 0 {33 WARN: } 0 {33 FAIL: }
IMAGERQA bias 3 4 6049 35 1225.063095 0.0224108497283542 3.182025 0.015846863815072 1226.106 0.1067055 3.294089 0.009127486 1236.80253 0.022571506509226 3.204836 0.01596046531427 1237.887 0.08684049 3.31712 0.01297598 0 0 0 0 0 0 0 0 -11.7575670000001 0.0032471464509871 3.55 3.55 1252 1259 0 0 0 0 0 0 -0.103654929577465 -0.0972292957746479 0.0205671167593328 0.0167696584590946 1 2 0 0 0 {34 WARN: } 0 {34 FAIL: }
IMAGERQA bias 3 5 6049 35 1147.724306 0.0156178097187398 2.217509 0.0110434591594021 1150.135 0.108633 2.635334 0.007849328 1123.482274 0.0209886664062098 2.980095 0.0148412283438932 1125.16 0.1486142 3.199913 0.04701798 0 0 0 0 0 0 0 0 0 0 3.1 3 1155 1129 0 0 0 0 0 0 -0.284674516129032 -0.00663500000000002 0.00430912311780337 0.00340124003542951 4 0 0 0 0 {35 WARN: } 0 {35 FAIL: }
IMAGERQA bias 3 6 6049 35 1281.231025 0.0175754616478238 2.495468 0.0124277281136603 1282.141 0.1415751 2.554208 0.01371207 1280.543204 0.0173020824182277 2.456652 0.0122344198065773 1281.449 0.1301695 2.559298 0.008931431 0 0 0 0 0 0 0 0 0.712966999999935 0.0025135849059472 2.65 2.65 1303 1303 0 0 0 0 0 0 -0.058313962264151 -0.0729615094339622 0.016008442056792 0.0165395241749808 1 1 0 0 0 {36 WARN: } 0 {36 FAIL: }
IMAGERQA bias 4 1 6049 35 1153.732738 0.00551287077407289 0.78275 0.00389818830815207 1154.1 0.04007568 0.8216202 0.003803582 1163.723859 0.00569588892793435 0.808736 0.00402760168582775 1164.052 0.07378693 0.8541404 0.004254162 0 0 0 0 0 0 0 0 0 0 0.9 0.9 1166 1176 0 0 0 0 0 0 -0.130277777777778 -0.101404444444444 0.0101190476190477 0.0101598639455783 50 50 0 0 0 {41 WARN: } 0 {41 FAIL: }
IMAGERQA bias 4 2 6049 35 1070.247991 0.00579628621044397 0.822991 0.00409859328510301 1070.607 0.1217443 0.8345033 0.01115251 1067.310417 0.00614747597509216 0.872855 0.00434692194916905 1067.649 0.05810243 0.9343451 0.005113926 0 0 0 0 0 0 0 0 0 0 1 1 1060 1057 0 0 0 0 0 0 -0.177009 -0.127145 0.0100350047303689 0.0100747398297066 24 21 0 0 0 {42 WARN: } 0 {42 FAIL: }
IMAGERQA bias 4 3 6049 35 1011.190079 0.00640507899193341 0.909431 0.00452907478923161 1011.485 0.1166857 0.9525467 0.008111871 1009.64504 0.00636351148850502 0.903529 0.0044996821256804 1009.868 0.1001669 0.9246864 0.00233158 0 0 0 0 0 0 0 0 0 0 1 1 1036 1036 0 0 0 0 0 0 -0.090569 -0.096471 0.0236631274131274 0.0252239382239382 1 0 0 0 0 {43 WARN: } 0 {43 FAIL: }
IMAGERQA bias 4 4 6049 35 1020.268006 0.0225506804997991 3.201879 0.0159457391017792 1020.511 0.04739262 3.224521 0.01096146 1018.786508 0.0284758104763764 4.043164 0.0201354386876287 1019.037 0.06517113 4.056479 0.01296672 0 0 0 0 0 0 0 0 0 0 3.1 4 1020 1019 0 0 0 0 0 0 0.032864193548387 0.010791 0.000501472031403304 3.63101079490035e-05 0 0 0 0 0 {44 WARN: } 0 {44 FAIL: }
IMAGERQA bias 4 5 6049 35 1059.701587 0.0108081143275532 1.5346 0.00764249093285234 1060.012 0.0730189 1.568279 0.01225143 1060.153274 0.00828185670179205 1.175907 0.00585615703465241 1060.407 0.04526242 1.216118 0.008431465 0 0 0 0 0 0 0 0 0 0 1.7 1.2 1064 1063 0 0 0 0 0 0 -0.0972941176470588 -0.0200774999999999 0.00375164628410165 0.00243932267168398 14 27 0 0 0 {45 WARN: } 0 {45 FAIL: }
IMAGERQA bias 4 6 6049 35 1040.76503 0.00666012541715411 0.945644 0.00470941984602256 1041.037 0.108367 0.9848189 0.01400445 1046.660813 0.00835318772089113 1.186035 0.00590659568196632 1046.905 0.07148735 1.226586 0.007206441 0 0 0 0 0 0 0 0 0 0 1.1 1.1 1044 1049 0 0 0 0 0 0 -0.140323636363636 0.0782136363636362 0.0028245948522402 0.00199714013346046 2 0 0 0 0 {46 WARN: } 0 {46 FAIL: }
IMAGERQA bias 5 1 6049 35 1568.840823 0.0287828479741671 4.086759 0.0203525469843951 1569.51 0.06947299 4.119047 0.01588661 1587.875391 0.0285100180948365 4.048021 0.0201596271266101 1588.54 0.07245549 4.069111 0.01342304 0 0 0 0 0 0 0 0 -19.01874 0.00401978660016117 3.95 3.95 1619 1620 0 0 0 0 0 0 0.0346225316455695 0.0248154430379747 0.0305493827160494 0.0194197530864198 24 23 0 0 0 {51 WARN: } 0 {51 FAIL: }
IMAGERQA bias 5 2 6049 35 1120.611458 0.00691809466750575 0.982272 0.00489183165228381 1121.135 0.1144223 1.028764 0.009990806 1108.8937 0.00768404388266195 1.091026 0.00543343953636528 1109.417 0.1167026 1.155552 0.005455274 0 0 0 0 0 0 0 0 0 0 1.1 1.3 1113 1104 0 0 0 0 0 0 -0.107025454545455 -0.160749230769231 0.00736865942028985 0.00490670289855065 18 4 0 0 0 {52 WARN: } 0 {52 FAIL: }
IMAGERQA bias 5 3 6049 35 1110.258185 0.00836532977035073 1.187759 0.00591518140747671 1110.947 0.1096526 1.275645 0.009227992 1104.226885 0.00642896868553374 0.912823 0.00454596735357687 1104.809 0.09956167 0.9975398 0.008995908 0 0 0 0 0 0 0 0 0 0 1.3 1 1137 1127 0 0 0 0 0 0 -0.0863392307692308 -0.0871769999999999 0.023117125110914 0.0196903283052352 1 1 0 0 0 {53 WARN: } 0 {53 FAIL: }
IMAGERQA bias 5 4 6049 35 1201.268552 0.0100776334192871 1.430882 0.00712596292909007 1201.827 0.1181676 1.485081 0.005316399 1188.179067 0.00769689727028595 1.092851 0.00544252825391542 1188.686 0.127451 1.162503 0.008511606 0 0 0 0 0 0 0 0 0 0 1.6 1.2 1201 1185 0 0 0 0 0 0 -0.10569875 -0.0892908333333333 0.000697890295358648 0.00311054852320668 1 3 0 0 0 {54 WARN: } 0 {54 FAIL: }
IMAGERQA bias 5 5 6049 35 1195.091865 0.00632549363294648 0.898131 0.00447279944220878 1195.559 0.09393301 0.981486 0.01405543 1187.483532 0.00724860632472158 1.0292 0.00512553868636232 1187.938 0.05536484 1.094053 0.003801405 0 0 0 0 0 0 0 0 0 0 1 1.1 1198 1189 0 0 0 0 0 0 -0.101869 -0.0643636363636365 0.00205298570227084 0.000893187552565095 33 32 0 0 0 {55 WARN: } 0 {55 FAIL: }
IMAGERQA bias 5 6 6049 35 1067.566121 0.00769918622972584 1.093176 0.00544414679265723 1068.712 0.1146624 1.224179 0.007327229 1067.595486 0.00741599616782268 1.052967 0.00524390117952087 1068.623 0.08209124 1.178832 0.01364473 0 0 0 0 0 0 0 0 0 0 1.4 1.3 1074 1071 0 0 0 0 0 0 -0.21916 -0.190025384615385 0.00493744164332401 0.002219421101774 2 0 0 0 0 {56 WARN: } 0 {56 FAIL: }
IMAGERQA bias 6 0 6049 35 423.766815 0.00699928581957666 0.9938 0.0049492424664855 428.3481 0.35336 1.427059 0.0227899 423.83249 0.00722630129534887 1.026033 0.00510976664883832 428.2392 0.4238801 1.430708 0.0125686 0 0 0 0 0 0 0 0 -0.0423949999999991 0.00146776380248717 1.5 1.5 416 416 0 0 0 0 0 0 -0.337466666666667 -0.315978 0.0296829326923077 0.0294211538461538 0 0 0 0 0 {60 WARN: } 0 {60 FAIL: }
IMAGERQA bias 6 1 6049 35 1306.528472 0.00924532550923043 1.312706 0.00653743236185381 1308.382 0.08516293 1.178158 0.006627517 1326.177827 0.546043606594863 77.530501 0.386111137046787 1308.263 0.09084545 1.186608 0.009165596 0 0 0 0 0 0 0 0 0.153790000000072 0.00116560745849943 1.1 1.1 1252 1252 0 0 0 0 0 0 0.193369090909091 69.4822736363636 0.0450335463258786 0.0449384984025558 0 0 0 0 0 {61 WARN: } 0 {61 FAIL: }
IMAGERQA bias 6 2 6049 35 1090.020833 0.00823879609251363 1.169793 0.00582570858582962 1091.208 0.03203167 1.271172 0.002890971 1090.608978 0.00834315855706836 1.184611 0.00589950399221761 1091.65 0.08079449 1.27951 0.02639687 0 0 0 0 0 0 0 0 -0.50138099999981 0.00126108213677136 1.2 1.2 1146 1146 0 0 0 0 0 0 -0.0251724999999999 -0.0128241666666666 0.0478115183246073 0.0474258289703315 0 0 0 0 0 {62 WARN: } 0 {62 FAIL: }
IMAGERQA bias 6 3 6049 35 1269.85564 0.0165765879200645 2.353642 0.0117214177272126 1275.382 0.2221072 2.235392 0.009322705 1287.902083 0.484161531793827 68.744118 0.342353902321081 1275.795 0.2278221 2.244798 0.01314319 0 0 0 0 0 0 0 0 -0.442992000000004 0.00221029720976061 2.1 2.1 1213 1213 0 0 0 0 0 0 0.120781904761905 31.7352942857143 0.0514278647980215 0.0517683429513603 0 0 0 0 0 {63 WARN: } 0 {63 FAIL: }
IMAGERQA bias 6 4 6049 35 249.405556 0.0524635630991073 7.449087 0.0370973412325871 253.1021 0.1781927 7.52346 0.06392919 249.468403 0.0517572888172871 7.348806 0.0365979298985344 252.8371 0.2102347 7.500602 0.04326369 0 0 0 0 0 0 0 0 0.174588 0.00738110994922657 7.8 7.8 239 239 0 0 0 0 0 0 -0.0449888461538462 -0.0578453846153846 0.0590046025104603 0.0578958158995816 0 0 0 0 0 {64 WARN: } 0 {64 FAIL: }
IMAGERQA bias 6 5 6049 35 879.431767 0.0106505071449506 1.512222 0.00753104582527031 882.694 0.2171615 1.846003 0.01717734 881.816022 0.0108303911851174 1.537763 0.00765824304989952 884.8982 0.3315578 1.808891 0.03521459 0 0 0 0 0 0 0 0 -2.34783800000002 0.00183439927219462 2 2 898 898 0 0 0 0 0 0 -0.243889 -0.2311185 0.0170445434298441 0.0145899777282851 0 0 0 0 0 {65 WARN: } 0 {65 FAIL: }
IMAGERQA bias 7 1 6049 35 627.278919 0.00903222690685276 1.282449 0.00638674889505118 629.1459 0.04105982 1.451698 0.007535058 627.478423 0.00903221986390064 1.282448 0.00638674391493198 629.2443 0.1145366 1.47562 0.03919211 0 0 0 0 0 0 0 0 -0.169910999999956 0.00145023016671977 1.4 1.4 704 704 0 0 0 0 0 0 -0.083965 -0.0839657142857142 0.106326846590909 0.106187073863636 0 0 0 0 0 {71 WARN: } 0 {71 FAIL: }
IMAGERQA bias 7 2 6049 35 957.338294 0.00849718791999263 1.206481 0.0060084191992432 959.5374 0.05912096 1.483258 0.005225536 958.064038 0.00898328543255186 1.2755 0.00635214204669175 960.1316 0.1212371 1.409829 0.01844776 0 0 0 0 0 0 0 0 -0.653440000000046 0.00142914780714552 1.3 1.3 948 948 0 0 0 0 0 0 -0.0719376923076924 -0.0188461538461538 0.012170253164557 0.0127970464135022 0 0 0 0 0 {72 WARN: } 0 {72 FAIL: }
IMAGERQA bias 7 3 6049 35 990.54499 0.0113597958102793 1.612931 0.00803258865034305 993.8335 0.1167746 1.818526 0.009335872 991.197321 0.0108764591349522 1.544304 0.00769081800962309 994.3171 0.0822306 1.778844 0.009423435 0 0 0 0 0 0 0 0 -0.534596999999962 0.00177278826336936 1.9 1.9 1019 1019 0 0 0 0 0 0 -0.151088947368421 -0.187208421052632 0.0246972522080471 0.0242226692836114 0 0 0 0 0 {73 WARN: } 0 {73 FAIL: }
IMAGERQA bias 7 4 6049 35 854.916716 0.00704804417712238 1.000723 0.00498371983174559 856.5349 0.06633731 1.212507 0.004816725 854.725546 0.00728177862921967 1.03391 0.00514899504782051 856.2595 0.1053426 1.20228 0.02502828 0 0 0 0 0 0 0 0 0.230121000000054 0.00119365050642556 1.2 1.2 856 856 0 0 0 0 0 0 -0.166064166666667 -0.138408333333333 0.000624883177570086 0.00030315420560748 0 0 0 0 0 {74 WARN: } 0 {74 FAIL: }
IMAGERQA bias 7 5 6049 35 1083.50506 0.0118344344397349 1.680323 0.00836820884384415 1087.328 0.2257053 2.052677 0.01171659 1083.257341 0.0118934825503319 1.688707 0.00840996216326357 1086.772 0.2461585 1.963883 0.01695638 0 0 0 0 0 0 0 0 0.483711999999969 0.00199180107457505 1.9 1.9 1089 1089 0 0 0 0 0 0 -0.11561947368421 -0.111206842105263 0.00153535353535356 0.00204591368227738 0 0 0 0 0 {75 WARN: } 0 {75 FAIL: }
IMAGERQA bias 7 6 6049 35 975.049554 0.0120010495581025 1.70398 0.00848602352389008 988.2137 8.198708 5.649769 5.302677 992.60749 0.479749882927761 68.117726 0.339234395491672 984.7636 4.270719 3.01421 1.624175 0 0 0 0 0 0 0 0 0.021521000000007 0.0102152270143907 6 3 936 936 0 0 0 0 0 0 -0.716003333333333 21.7059086666667 0.0557838675213675 0.0520978632478632 0 0 0 0 0 {76 WARN: } 0 {76 FAIL: }
IMAGERQA bias 8 1 6049 35 498.960317 0.00798476385239861 1.133724 0.00564608066620428 501.9616 0.110877 1.431533 0.01710271 498.958085 0.00792527203581784 1.125277 0.00560401359927491 502.001 0.1017344 1.450272 0.02020429 0 0 0 0 0 0 0 0 -0.00322800000003554 0.00141940602242191 1.4 1.4 499 499 0 0 0 0 0 0 -0.190197142857143 -0.196230714285714 0.00593507014028051 0.00601402805611218 0 0 0 0 0 {81 WARN: } 0 {81 FAIL: }
IMAGERQA bias 8 2 6049 35 740.936012 0.00867495203157053 1.231721 0.00613411740799154 744.6749 0.05130488 1.55755 0.006600992 740.417332 0.00902936042533881 1.282042 0.00638472198653452 744.0118 0.03521311 1.550557 0.007087473 0 0 0 0 0 0 0 0 0.642849000000069 0.00152692189151448 1.6 1.6 739 739 0 0 0 0 0 0 -0.230174375 -0.19872375 0.00767916102841675 0.00678186738836264 0 0 0 0 0 {82 WARN: } 0 {82 FAIL: }
IMAGERQA bias 8 3 6049 35 459.186409 0.0107071043082089 1.520258 0.0075710660632062 462.8024 0.1813276 1.738571 0.02867642 458.75372 0.0112149504569231 1.592365 0.00793016751876151 462.1339 0.1899659 1.722844 0.02020933 0 0 0 0 0 0 0 0 0.611771999999974 0.00170748191668819 1.8 1.8 456 456 0 0 0 0 0 0 -0.155412222222222 -0.115352777777778 0.0149175438596491 0.0134515350877193 0 0 0 0 0 {83 WARN: } 0 {83 FAIL: }
IMAGERQA bias 8 4 6049 35 1135.934769 0.0166328822363815 2.361635 0.0117612238200226 1140.561 0.1437084 2.518912 0.01796066 1150.69246 0.408479426173977 57.998325 0.288838572222809 1140.224 0.09636639 2.52091 0.01549635 0 0 0 0 0 0 0 0 0.304388000000017 0.00247719006231843 2.4 2.4 1134 1134 0 0 0 0 0 0 -0.0159854166666666 23.16596875 0.00578571428571422 0.00548853615520276 0 0 0 0 0 {84 WARN: } 0 {84 FAIL: }
IMAGERQA bias 8 5 6049 35 1256.393948 0.025472921065709 3.616796 0.0180120752221925 1258.688 0.225131 3.30569 0.04950294 1266.745437 0.289946978611335 41.168387 0.205023474760626 1258.303 0.3293431 3.30692 0.05677544 0 0 0 0 0 0 0 0 0.467889000000014 0.0032607089814048 3.1 3.1 1251 1251 0 0 0 0 0 0 0.166708387096774 12.2801248387097 0.00614548361310959 0.00583772981614717 0 0 0 0 0 {85 WARN: } 0 {85 FAIL: }
IMAGERQA bias 8 6 6049 35 700.183929 0.00776095291984225 1.101946 0.00548782243808999 702.8507 0.1242334 1.492284 0.01605727 699.818105 0.00783007949492692 1.111761 0.00553670230809256 702.4884 0.1166761 1.486997 0.0102645 0 0 0 0 0 0 0 0 0.329181999999946 0.00147012799460362 1.3 1.3 699 699 0 0 0 0 0 0 -0.152349230769231 -0.144799230769231 0.00550886981401997 0.0049905579399141 0 0 0 0 0 {86 WARN: } 0 {86 FAIL: }
IMAGERQA bias 9 0 6049 35 1259.518353 0.0111373441674827 1.581346 0.00787529158523544 1263.073 0.4113192 1.388338 0.0101766 1278.169643 0.503264222394706 71.456431 0.355861544383871 1263.208 0.5662759 1.380887 0.04362139 0 0 0 0 0 0 0 0 -0.257421999999906 0.0014451351817512 1.5 1.5 1254 1254 0 0 0 0 0 0 0.0542306666666666 46.6376206666667 0.00723524720893149 0.00734290271132383 0 0 0 0 0 {90 WARN: } 0 {90 FAIL: }
IMAGERQA bias 9 1 6049 35 1049.079663 0.0100876414542535 1.432303 0.00713303967848117 1051.984 0.05818628 1.659086 0.006007708 1068.356349 0.51354865097422 72.916675 0.363133733573075 1052.419 0.06488441 1.673789 0.008616886 0 0 0 0 0 0 0 0 -0.424087999999983 0.00163788894006186 1.6 1.6 1045 1045 0 0 0 0 0 0 -0.104810625 44.572921875 0.00668325358851667 0.00709952153110057 0 0 0 0 0 {91 WARN: } 0 {91 FAIL: }
IMAGERQA bias 9 2 6049 35 1112.0375 0.00919114407855021 1.305013 0.00649912030480544 1114.05 0.1095584 1.383128 0.01109812 1127.598562 0.407718702829296 57.890313 0.288300659587178 1114.602 0.109025 1.377995 0.00840362 0 0 0 0 0 0 0 0 -0.54705899999999 0.00135990813530399 1.4 1.4 1109 1109 0 0 0 0 0 0 -0.0678478571428571 40.3502235714286 0.00455365193868346 0.00505139765554562 0 0 0 0 0 {92 WARN: } 0 {92 FAIL: }
IMAGERQA bias 9 3 6049 35 738.259375 0.00793289955296677 1.12636 0.00560940706837453 741.3984 0.210545 1.414906 0.01684048 738.391022 0.00798543293285026 1.133819 0.0056465537775288 741.4456 0.1686389 1.412035 0.009474936 0 0 0 0 0 0 0 0 -0.110273000000007 0.00140357018682438 1.4 1.4 733 733 0 0 0 0 0 0 -0.195457142857143 -0.190129285714286 0.0114575716234653 0.0115219645293315 0 0 0 0 0 {93 WARN: } 0 {93 FAIL: }
IMAGERQA bias 9 4 6049 35 967.209276 0.00781152835903563 1.109127 0.00552358467410512 970.704 0.1324065 1.431238 0.01157601 982.396478 0.401174849508736 56.961178 0.28367345652912 971.2465 0.112482 1.435052 0.0116327 0 0 0 0 0 0 0 0 -0.482281000000057 0.00141446696435224 1.4 1.4 959 959 0 0 0 0 0 0 -0.207766428571429 39.6865557142857 0.0122043795620437 0.0127700729927007 0 0 0 0 0 {94 WARN: } 0 {94 FAIL: }
IMAGERQA bias 9 5 6049 35 535.566667 0.0067937161330182 0.964612 0.00480388274711362 537.5495 0.1183265 1.166863 0.01731404 535.780506 0.00689104973135443 0.978432 0.00487270799453446 537.722 0.09407237 1.154527 0.008951301 0 0 0 0 0 0 0 0 -0.192755000000034 0.00114459496273422 1.1 1.1 528 528 0 0 0 0 0 0 -0.12308 -0.110516363636364 0.0180861742424242 0.0184128787878787 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 53801 1141723752 {EXEC v4_9} v4_19_0 opECalib-52526.par


IMAGERQA LED 1 1 6050 40 1775.208036 0 1.216118 0 0 0 0 0 1792.922024 0 1.28018 0 0 0 0 0 4.601334 0.06084591 4.502776 0.06729803 163.5893 1.332555 159.7002 10.53268 0 0 0 0 0 0 4.71 4.71 0 0 -0.0230713375796179 -0.0439966029723992 0 0 0 0 0 0 0 0 0 {11 WARN: } 0 {11 FAIL: }
IMAGERQA LED 1 2 6050 40 1053.291716 0 0.919191 0 0 0 0 0 1049.07039 0 0.777655 0 0 0 0 0 4.661129 0.03730916 4.551865 0.04047818 156.639 2.245912 164.8381 0.7998889 0 0 0 0 0 0 4.62 4.58 0 0 0.0089023809523809 -0.00614301310043664 0 0 0 0 0 0 0 0 0 {12 WARN: } 0 {12 FAIL: }
IMAGERQA LED 1 3 6050 40 1757.634077 0 1.09833 0 0 0 0 0 1757.714087 0 1.12973 0 0 0 0 0 4.473076 0.03990313 4.473957 0.04845864 164.4809 1.471114 160.6025 10.60852 0 0 0 0 0 0 4.72 4.72 0 0 -0.052314406779661 -0.052127754237288 0 0 0 0 0 0 0 0 0 {13 WARN: } 0 {13 FAIL: }
IMAGERQA LED 1 4 6050 40 1056.348859 0 1.190269 0 0 0 0 0 1043.009921 0 1.036296 0 0 0 0 0 4.648814 0.03753038 5.188119 0.04317086 163.3098 3.170431 151.2687 1.874276 0 0 0 0 0 0 4.76 4.76 0 0 -0.0233584033613445 0.0899409663865547 0 0 0 0 0 0 0 0 0 {14 WARN: } 0 {14 FAIL: }
IMAGERQA LED 1 5 6050 40 1132.606845 0 0.902209 0 0 0 0 0 1123.460714 0 0.801316 0 0 0 0 0 5.010811 0.04629443 4.858602 0.04579046 161.0939 1.315732 166.7247 1.479718 0 0 0 0 0 0 4.96 4.49 0 0 0.0102441532258065 0.0820939866369711 0 0 0 0 0 0 0 0 0 {15 WARN: } 0 {15 FAIL: }
IMAGERQA LED 1 6 6050 40 1203.830506 0 1.068948 0 0 0 0 0 1200.645536 0 0.915665 0 0 0 0 0 4.985795 0.07483116 4.926051 0.05509316 156.8807 1.743324 158.9804 0.8770146 0 0 0 0 0 0 4.95 4.84 0 0 0.00723131313131318 0.017779132231405 0 0 0 0 0 0 0 0 0 {16 WARN: } 0 {16 FAIL: }
IMAGERQA LED 2 1 6050 40 1190.470585 0 1.084078 0 0 0 0 0 1185.543452 0 4.747409 0 0 0 0 0 4.920285 0.05284769 5.0222 0.05599021 219.4645 1.048441 221.4418 0.350475 0 0 0 0 0 0 5.46 4.87 0 0 -0.0988489010989011 0.0312525667351129 0 0 0 0 0 0 0 0 0 {21 WARN: } 0 {21 FAIL: }
IMAGERQA LED 2 2 6050 40 1182.831349 0 3.672942 0 0 0 0 0 1179.988145 0 0.986973 0 0 0 0 0 4.389693 0.06398807 6.076836 0.03301405 254.3218 2.521861 187.9422 0.6249688 0 0 0 0 0 0 4.39 6 0 0 -6.99316628700208e-05 0.012806 0 0 0 0 0 0 0 0 0 {22 WARN: } 0 {22 FAIL: }
IMAGERQA LED 2 3 6050 40 1139.977431 0 2.7838 0 0 0 0 0 1134.696925 0 0.935897 0 0 0 0 0 4.941767 0.08926104 4.632376 0.04002528 225.9376 2.49673 243.1524 0.6903518 0 0 0 0 0 0 5.09 4.63 0 0 -0.0291223968565816 0.000513174946004305 0 0 0 0 0 0 0 0 0 {23 WARN: } 0 {23 FAIL: }
IMAGERQA LED 2 4 6050 40 1017.375633 0 3.470266 0 0 0 0 0 1010.876141 0 1.75113 0 0 0 0 0 4.899174 0.0404423 4.732386 0.05210395 234.0713 1.353993 242.3907 0.3975063 0 0 0 0 0 0 4.9 4.87 0 0 -0.000168571428571427 -0.0282574948665298 0 0 0 0 0 0 0 0 0 {24 WARN: } 0 {24 FAIL: }
IMAGERQA LED 2 5 6050 40 1874.835813 0 2.939203 0 0 0 0 0 1874.815476 0 2.940899 0 0 0 0 0 4.950496 0.05625346 4.929704 0.05073459 224.2311 1.676437 219.2142 13.99001 0 0 0 0 0 0 4.64 4.64 0 0 0.0669172413793105 0.0624362068965518 0 0 0 0 0 0 0 0 0 {25 WARN: } 0 {25 FAIL: }
IMAGERQA LED 2 6 6050 40 1081.595536 0 3.02219 0 0 0 0 0 1081.781934 0 1.152006 0 0 0 0 0 4.824913 0.05012406 5.328476 0.05385148 232.3435 1.56544 214.5679 1.08217 0 0 0 0 0 0 4.37 5.15 0 0 0.104099084668192 0.0346555339805825 0 0 0 0 0 0 0 0 0 {26 WARN: } 0 {26 FAIL: }
IMAGERQA LED 3 1 6050 40 1124.475744 0 2.070989 0 0 0 0 0 1123.566149 0 3.28439 0 0 0 0 0 1.613513 0.01647677 1.592565 0.01820433 144.656 2.990258 136.526 7.196017 0 0 0 0 0 0 1.63 1.61 0 0 -0.0101147239263803 -0.0108291925465839 0 0 0 0 0 0 0 0 0 {31 WARN: } 0 {31 FAIL: }
IMAGERQA LED 3 2 6050 40 1756.220635 0 3.84006 0 0 0 0 0 1232.498065 0 2.508833 0 0 0 0 0 1.869717 0.02377629 1.767781 0.03025083 105.9634 3.587159 111.4101 2.29641 0 0 0 0 0 0 1.85 1.8 0 0 0.0106578378378378 -0.0178994444444444 0 0 0 0 0 0 0 0 0 {32 WARN: } 0 {32 FAIL: }
IMAGERQA LED 3 3 6050 40 1186.499851 0 2.49875 0 0 0 0 0 1191.459722 0 2.432229 0 0 0 0 0 1.555303 0.02353891 1.539056 0.02203701 117.7306 6.515978 125.4509 6.136088 0 0 0 0 0 0 1.53 1.65 0 0 0.0165379084967321 -0.0672387878787878 0 0 0 0 0 0 0 0 0 {33 WARN: } 0 {33 FAIL: }
IMAGERQA LED 3 4 6050 40 1225.284821 0 3.217747 0 0 0 0 0 1237.084375 0 3.285516 0 0 0 0 0 1.5702 0.008786036 1.596393 0.01637337 114.765 6.248475 113.3553 8.47493 0 0 0 0 0 0 1.6 1.6 0 0 -0.018625 -0.00225437500000009 0 0 0 0 0 0 0 0 0 {34 WARN: } 0 {34 FAIL: }
IMAGERQA LED 3 5 6050 40 1147.732937 0 2.250354 0 0 0 0 0 1123.537312 0 3.023379 0 0 0 0 0 1.384046 0.02796272 1.427009 0.0166453 138.1498 0.4976778 134.3265 2.215168 0 0 0 0 0 0 1.49 1.45 0 0 -0.0711100671140939 -0.0158558620689655 0 0 0 0 0 0 0 0 0 {35 WARN: } 0 {35 FAIL: }
IMAGERQA LED 3 6 6050 40 1281.500248 0 2.491613 0 0 0 0 0 1280.891121 0 2.543725 0 0 0 0 0 2.231904 0.04437852 2.261301 0.03082141 87.98617 4.829796 85.86933 8.644781 0 0 0 0 0 0 2.17 2.17 0 0 0.0285271889400922 0.0420741935483871 0 0 0 0 0 0 0 0 0 {36 WARN: } 0 {36 FAIL: }
IMAGERQA LED 4 1 6050 40 1153.652827 0 0.793548 0 0 0 0 0 1163.665228 0 0.821633 0 0 0 0 0 4.623784 0.05522971 4.893831 0.06227536 72.82212 0.16243 70.44845 0.3864132 0 0 0 0 0 0 4.68 4.81 0 0 -0.0120119658119658 0.0174284823284823 0 0 0 0 0 0 0 0 0 {41 WARN: } 0 {41 FAIL: }
IMAGERQA LED 4 2 6050 40 1070.052778 0 0.847845 0 0 0 0 0 1067.118105 0 0.888021 0 0 0 0 0 4.690158 0.05665592 4.478481 0.03463442 72.1372 0.2003396 73.68502 0.5392301 0 0 0 0 0 0 5.68 4.63 0 0 -0.174267957746479 -0.032725485961123 0 0 0 0 0 0 0 0 1 {42 WARN: leftGain } 0 {42 FAIL: }
IMAGERQA LED 4 3 6050 40 1011.504117 0 0.950868 0 0 0 0 0 1009.897321 0 0.934392 0 0 0 0 0 4.500411 0.0622828 5.13708 0.04055147 66.5361 0.334142 60.95809 0.3193175 0 0 0 0 0 0 4.66 5.11 0 0 -0.0342465665236052 0.00529941291585123 0 0 0 0 0 0 0 0 0 {43 WARN: } 0 {43 FAIL: }
IMAGERQA LED 4 4 6050 40 1020.068849 0 3.236161 0 0 0 0 0 1018.642163 0 4.052242 0 0 0 0 0 4.61256 0.06066181 4.427058 0.1609658 61.37708 0.420917 63.13915 0.1342065 0 0 0 0 0 0 4.74 4.81 0 0 -0.0268860759493671 -0.0796137214137214 0 0 0 0 0 0 0 0 0 {44 WARN: } 0 {44 FAIL: }
IMAGERQA LED 4 5 6050 40 1059.705605 0 1.601924 0 0 0 0 0 1060.23373 0 1.190794 0 0 0 0 0 3.352778 0.04184171 3.570744 0.03286479 105.2356 0.9491108 96.81991 0.2728006 0 0 0 0 0 0 3.41 3.55 0 0 -0.0167806451612904 0.00584338028169017 0 0 0 0 0 0 0 0 0 {45 WARN: } 0 {45 FAIL: }
IMAGERQA LED 4 6 6050 40 1040.900744 0 1.065568 0 0 0 0 0 1046.567411 0 1.222969 0 0 0 0 0 4.815843 0.08271428 4.38097 0.05632838 66.92777 0.3446005 69.42555 0.2153741 0 0 0 0 0 0 4.96 4.42 0 0 -0.0290639112903226 -0.00883031674208153 0 0 0 0 0 0 0 0 0 {46 WARN: } 0 {46 FAIL: }
IMAGERQA LED 5 1 6050 40 1569.420982 0 4.04279 0 0 0 0 0 1588.897768 0 4.021706 0 0 0 0 0 3.237514 0.03735252 3.23597 0.06471681 129.9007 0.8078633 127.2074 7.302239 0 0 0 0 0 0 3.32 3.32 0 0 -0.0248451807228915 -0.0253102409638554 0 0 0 0 0 0 0 0 0 {51 WARN: } 0 {51 FAIL: }
IMAGERQA LED 5 2 6050 40 1120.379663 0 1.0507 0 0 0 0 0 1108.744692 0 1.109817 0 0 0 0 0 4.254105 0.03344376 3.697168 0.04671061 105.5983 0.6973608 117.8477 1.251622 0 0 0 0 0 0 4.2 3.51 0 0 0.0128821428571428 0.0533242165242166 0 0 0 0 0 0 0 0 0 {52 WARN: } 0 {52 FAIL: }
IMAGERQA LED 5 3 6050 40 1110.437103 0 1.209098 0 0 0 0 0 1104.205804 0 0.929646 0 0 0 0 0 3.889596 0.03858603 3.986632 0.04277372 111.9266 1.644146 107.6905 1.919519 0 0 0 0 0 0 3.79 3.9 0 0 0.0262786279683377 0.0222133333333334 0 0 0 0 0 0 0 0 0 {53 WARN: } 0 {53 FAIL: }
IMAGERQA LED 5 4 6050 40 1200.960417 0 1.44125 0 0 0 0 0 1187.791369 0 1.115069 0 0 0 0 0 3.783637 0.05064235 4.062375 0.03921061 111.0488 2.356352 107.1358 1.392146 0 0 0 0 0 0 3.85 4.14 0 0 -0.0172371428571428 -0.0187499999999999 0 0 0 0 0 0 0 0 0 {54 WARN: } 0 {54 FAIL: }
IMAGERQA LED 5 5 6050 40 1194.897321 0 0.896738 0 0 0 0 0 1187.331002 0 1.026925 0 0 0 0 0 4.244275 0.04358038 4.005561 0.03744355 97.32145 0.5251535 102.3882 0.4937736 0 0 0 0 0 0 4.2 3.9 0 0 0.0105416666666666 0.0270669230769231 0 0 0 0 0 0 0 0 0 {55 WARN: } 0 {55 FAIL: }
IMAGERQA LED 5 6 6050 40 1067.576935 0 1.105467 0 0 0 0 0 1067.43244 0 1.105407 0 0 0 0 0 3.938047 0.03895325 4.037041 0.04937454 107.568 0.8388592 106.404 0.3863409 0 0 0 0 0 0 3.99 4.08 0 0 -0.0130208020050126 -0.0105291666666666 0 0 0 0 0 0 0 0 0 {56 WARN: } 0 {56 FAIL: }