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

QAEXEC 53121 1082946379 {EXEC v4_9} v3_136_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 4606 40 1780.484474 0.00899599091818 1.277304 0.00636112618174 1781.167162 0.093423 1.340861 0.007546 1798.554117 0.0089940470634 1.277028 0.00635975166884 1799.23858 0.076512 1.340542 0.008946 0 0 0 0 0 0 0 0 -18.052265 0.00131855237797 1.35 1.35 1814 1817 0 0 0 0 0 0 -0.0538488888889 -0.0540533333333 0.0180698062741 0.00977513483764 75 72 0 0 0 {11 WARN: } 0 {11 FAIL: }
IMAGERQA bias 1 2 4606 40 1042.119692 0.00605487524058 0.859707 0.00428144334185 1042.831382 0.020376 0.984721 0.007608 1037.216667 0.00516339948974 0.73313 0.00365107479317 1037.971064 0.06606 0.869015 0.005378 0 0 0 0 0 0 0 0 0 0 1.1 0.9 1044 1038 0 0 0 0 0 0 -0.218448181818 -0.185411111111 0.00112583622351 2.78766859344e-05 1 1 0 0 0 {12 WARN: } 0 {12 FAIL: }
IMAGERQA bias 1 3 4606 40 1783.61622 0.00742287713205 1.053944 0.00524876675598 1784.194194 0.07385 1.122932 0.005178 1783.64494 0.00742930734733 1.054857 0.00525331360482 1784.228513 0.07197 1.127045 0.004069 0 0 0 0 0 0 0 0 -0.0237139999999 0.00110730446006 1.15 1.15 1803 1803 0 0 0 0 0 0 -0.0835269565217 -0.0827330434783 0.0104302861897 0.0104112518026 2 3 0 0 0 {13 WARN: } 0 {13 FAIL: }
IMAGERQA bias 1 4 4606 40 1056.0158 0.00857049096569 1.216889 0.00606025227993 1056.532139 0.037814 1.234015 0.007339 1042.197371 0.00725897355025 1.030672 0.00513286942183 1042.683033 0.037841 1.070981 0.003465 0 0 0 0 0 0 0 0 0 0 1.2 1.1 1056 1042 0 0 0 0 0 0 0.0140741666667 -0.0630254545455 0.000510690019194 0.000655501919386 1 1 0 0 0 {14 WARN: } 0 {14 FAIL: }
IMAGERQA bias 1 5 4606 40 1131.412351 0.00593522956992 0.842719 0.00419684107679 1132.529754 0.051836 0.984211 0.004592 1122.528274 0.0056307557067 0.799488 0.00398154554341 1123.600003 0.021503 0.946692 0.004589 0 0 0 0 0 0 0 0 0 0 1 0.8 1135 1125 0 0 0 0 0 0 -0.157281 -0.00064 0.00219577422222 0.00124444177778 2 1 0 0 0 {15 WARN: } 0 {15 FAIL: }
IMAGERQA bias 1 6 4606 40 1205.973462 0.00727339047324 1.032719 0.00514306372585 1206.41581 0.019491 1.072069 0.003424 1201.238542 0.00609087176888 0.864818 0.00430689673111 1201.678277 0.048146 0.915453 0.003526 0 0 0 0 0 0 0 0 0 0 1 0.9 1206 1200 0 0 0 0 0 0 0.032719 -0.0390911111111 0.000346508333333 0.00139856416667 0 0 0 0 0 {16 WARN: } 0 {16 FAIL: }
IMAGERQA bias 2 1 4606 40 1192.451587 0.00801590074373 1.138145 0.00566809777321 1193.017111 0.022784 1.182588 0.002389 1188.130704 0.0363064956652 5.155011 0.025672569286 1188.716708 0.048672 5.160717 0.024554 0 0 0 0 0 0 0 0 0 0 1.1 4.5 1203 1198 0 0 0 0 0 0 0.0346772727273 0.145558 0.0083329624374 0.00774899165275 35 0 0 0 0 {21 WARN: } 0 {21 FAIL: }
IMAGERQA bias 2 2 4606 40 1173.62247 0.0261572776805 3.713965 0.0184959884253 1175.031728 0.020799 3.777373 0.008466 1168.871528 0.00668286710956 0.948873 0.00472550065094 1169.969901 0.042891 1.046429 0.007316 0 0 0 0 0 0 0 0 0 0 4 1 1177 1169 0 0 0 0 0 0 -0.07150875 -0.051127 0.00168372284003 0.000829684345594 0 0 0 0 0 {22 WARN: } 0 {22 FAIL: }
IMAGERQA bias 2 3 4606 40 1155.755643 0.0212131957199 3.011975 0.0149999945442 1156.470551 0.042669 3.023489 0.010637 1150.33621 0.00743835049786 1.056141 0.00525970807788 1151.176137 0.048821 1.152165 0.003851 0 0 0 0 0 0 0 0 0 0 3.2 1.1 1167 1161 0 0 0 0 0 0 -0.0587578125 -0.0398718181818 0.00906929285099 0.00846155297158 1 1 0 0 0 {23 WARN: } 0 {23 FAIL: }
IMAGERQA bias 2 4 4606 40 1015.959772 0.0228927285126 3.250445 0.0161876035711 1016.51099 0.038392 3.300505 0.011361 1008.950744 0.0131791523315 1.871254 0.00931906798388 1009.522974 0.049009 1.928343 0.005948 0 0 0 0 0 0 0 0 0 0 3.6 1.9 1016 1008 0 0 0 0 0 0 -0.0970986111111 -0.0151294736842 0.00050693452381 0.00151088690476 0 1 0 0 0 {24 WARN: } 0 {24 FAIL: }
IMAGERQA bias 2 5 4606 40 1876.240587 0.0207997603444 2.953273 0.0147076515866 1876.5736 0.034324 2.946605 0.020013 1876.201687 0.020823642995 2.956664 0.0147245391708 1876.566805 0.033754 2.94591 0.02327 0 0 0 0 0 0 0 0 -0.00523399999997 0.00289291613418 2.8 2.8 1879 1879 0 0 0 0 0 0 0.0547403571429 0.0559514285714 0.00129132517296 0.00129494145822 1 0 0 0 0 {25 WARN: } 0 {25 FAIL: }
IMAGERQA bias 2 6 4606 40 1083.194116 0.02244826189 3.187337 0.0158733182083 1084.526061 0.026787 3.289253 0.030943 1083.949102 0.0079539016362 1.129342 0.00562425778385 1085.242276 0.111388 1.279738 0.012997 0 0 0 0 0 0 0 0 0 0 3.3 1.2 1087 1087 0 0 0 0 0 0 -0.0341403030303 -0.0588816666667 0.00227593284269 0.00161704139834 1 0 0 0 0 {26 WARN: } 0 {26 FAIL: }
IMAGERQA bias 3 1 4606 40 1127.574206 0.01439047671 2.043245 0.0101756036662 1128.999511 0.028407 2.241376 0.006664 1127.525694 0.0241827930959 3.433616 0.0170998169861 1128.724483 0.065998 3.531658 0.011772 0 0 0 0 0 0 0 0 0 0 2.6 3.6 1133 1135 0 0 0 0 0 0 -0.214136538462 -0.0462177777778 0.00352465991189 0.00552908986784 3 1 0 0 0 {31 WARN: } 0 {31 FAIL: }
IMAGERQA bias 3 2 4606 40 1748.973363 0.0264650828601 3.757669 0.018713639555 1750.434786 0.036232 3.880125 0.017069 1227.459921 0.0134945779853 1.91604 0.00954210760262 1228.624348 0.08182 2.069733 0.023094 0 0 0 0 0 0 0 0 0 0 4.5 2.6 1792 1232 0 0 0 0 0 0 -0.164962444444 -0.263061538462 0.0337379983766 0.00273997727273 2 1 0 0 0 {32 WARN: } 0 {32 FAIL: }
IMAGERQA bias 3 3 4606 40 1209.388442 0.018018660539 2.558396 0.012741117055 1211.212074 0.067934 2.84461 0.01858 1202.623908 0.0172791998668 2.453403 0.0122182393993 1203.984173 0.132944 2.639284 0.019868 0 0 0 0 0 0 0 0 0 0 3.2 2.7 1228 1223 0 0 0 0 0 0 -0.20050125 -0.0913322222222 0.013726840556 0.0155485094031 2 0 0 0 0 {33 WARN: } 0 {33 FAIL: }
IMAGERQA bias 3 4 4606 40 1223.8313 0.0225908182839 3.207578 0.0159741208011 1224.929732 0.102885 3.312973 0.019061 1235.268155 0.0225551246026 3.20251 0.015948881557 1236.343457 0.092104 3.30904 0.015029 0 0 0 0 0 0 0 0 -11.389798 0.00325302884 3.55 3.55 1252 1259 0 0 0 0 0 0 -0.0964569014085 -0.0978845070423 0.0215014042891 0.0179956656076 1 1 0 0 0 {34 WARN: } 0 {34 FAIL: }
IMAGERQA bias 3 5 4606 40 1143.820585 0.0151686877048 2.15374 0.0107258819378 1146.16024 0.071912 2.568605 0.010586 1120.623319 0.0220817748334 3.135301 0.0156141727253 1122.291015 0.150387 3.416904 0.043121 0 0 0 0 0 0 0 0 0 0 3.1 3 1155 1129 0 0 0 0 0 0 -0.30524516129 0.0451003333333 0.00782972542073 0.00594241364039 3 1 0 0 0 {35 WARN: } 0 {35 FAIL: }
IMAGERQA bias 3 6 4606 40 1285.889087 0.0171305583622 2.432298 0.0121131339834 1286.79436 0.136518 2.537843 0.009139 1285.214137 0.0174373704856 2.475861 0.0123300829164 1286.145371 0.125363 2.537799 0.006765 0 0 0 0 0 0 0 0 0.671832 0.00249473762057 2.65 2.65 1303 1303 0 0 0 0 0 0 -0.0821516981132 -0.0657128301887 0.0124371757483 0.0129352486569 1 1 0 0 0 {36 WARN: } 0 {36 FAIL: }
IMAGERQA bias 4 1 4606 40 1156.407738 0.00547803633287 0.777804 0.00387355663856 1156.784458 0.088637 0.82624 0.00548 1165.742411 0.00562845266136 0.799161 0.00397991704443 1166.059916 0.070605 0.820005 0.004426 0 0 0 0 0 0 0 0 0 0 0.9 0.9 1166 1176 0 0 0 0 0 0 -0.135773333333 -0.112043333333 0.0078363452381 0.00845245238095 52 46 0 0 0 {41 WARN: } 0 {41 FAIL: }
IMAGERQA bias 4 2 4606 40 1058.07877 0.00585210864897 0.830917 0.00413806570993 1058.475217 0.110426 0.88547 0.006563 1056.084722 0.0065139559888 0.92489 0.00460606245203 1056.418431 0.05595 0.959595 0.003558 0 0 0 0 0 0 0 0 0 0 1 1 1060 1057 0 0 0 0 0 0 -0.169083 -0.07511 0.00144255723746 0.000550207190161 1 1 0 0 0 {42 WARN: } 0 {42 FAIL: }
IMAGERQA bias 4 3 4606 40 1025.857887 0.00634103038533 0.900337 0.00448378558518 1026.151128 0.072926 0.942458 0.004579 1024.967758 0.00645204139669 0.916099 0.00456228222409 1025.190412 0.047508 0.938379 0.003701 0 0 0 0 0 0 0 0 0 0 1 1 1036 1036 0 0 0 0 0 0 -0.099663 -0.083901 0.00950663320463 0.010433965251 1 0 0 0 0 {43 WARN: } 0 {43 FAIL: }
IMAGERQA bias 4 4 4606 40 1019.895982 0.0225996149311 3.208827 0.01598034097 1020.171974 0.059741 3.247234 0.00703 1018.412599 0.027847579147 3.953964 0.0196912120545 1018.681764 0.068675 3.961601 0.00784 0 0 0 0 0 0 0 0 0 0 3.1 4 1020 1019 0 0 0 0 0 0 0.035105483871 -0.011509 0.000168767419038 0.000312302257115 0 0 0 0 0 {44 WARN: } 0 {44 FAIL: }
IMAGERQA bias 4 5 4606 40 1059.570089 0.0108707895585 1.543499 0.00768680901366 1059.872979 0.168744 1.583866 0.008748 1059.562004 0.00836023067301 1.187035 0.00591157580117 1059.818233 0.076246 1.212212 0.007131 0 0 0 0 0 0 0 0 0 0 1.7 1.2 1064 1063 0 0 0 0 0 0 -0.0920594117647 -0.0108041666667 0.00388242803387 0.00299319567262 1 0 0 0 0 {45 WARN: } 0 {45 FAIL: }
IMAGERQA bias 4 6 4606 40 1041.971081 0.00665942816489 0.945545 0.00470892681422 1042.247342 0.069681 0.970479 0.017893 1048.195387 0.00772303366561 1.096562 0.00546100947629 1048.451086 0.085967 1.129691 0.015315 0 0 0 0 0 0 0 0 0 0 1.1 1.1 1044 1049 0 0 0 0 0 0 -0.140413636364 -0.00312545454545 0.00167078932317 0.000523273593899 2 0 0 0 0 {46 WARN: } 0 {46 FAIL: }
IMAGERQA bias 5 1 4606 40 1575.295089 0.029228751359 4.150071 0.0206678482915 1575.96112 0.060928 4.17857 0.020342 1595.58626 0.0300134841274 4.261492 0.0212227381535 1596.313285 0.061488 4.325645 0.017417 0 0 0 0 0 0 0 0 -20.340166 0.00417638344951 3.95 3.95 1619 1620 0 0 0 0 0 0 0.0506508860759 0.0788587341772 0.0265672098765 0.0146214290123 24 17 0 0 0 {51 WARN: } 0 {51 FAIL: }
IMAGERQA bias 5 2 4606 40 1109.559425 0.00686153976196 0.974242 0.00485184129506 1110.094429 0.092642 1.044264 0.007247 1100.346726 0.00777052429178 1.103305 0.00549459042009 1100.877478 0.059481 1.172174 0.00309 0 0 0 0 0 0 0 0 0 0 1.1 1.3 1113 1104 0 0 0 0 0 0 -0.114325454545 -0.151303846154 0.00263185778986 0.00282837137681 2 0 0 0 0 {52 WARN: } 0 {52 FAIL: }
IMAGERQA bias 5 3 4606 40 1124.795734 0.00847776345804 1.203723 0.00599468403047 1125.529141 0.05457 1.270765 0.007796 1118.123958 0.0062063902696 0.88122 0.00438858064632 1118.69948 0.079141 0.975147 0.010679 0 0 0 0 0 0 0 0 0 0 1.3 1 1137 1127 0 0 0 0 0 0 -0.0740592307692 -0.11878 0.0101782244898 0.00736514640639 0 1 0 0 0 {53 WARN: } 0 {53 FAIL: }
IMAGERQA bias 5 4 4606 40 1200.34881 0.0100899726714 1.432634 0.00713468809794 1200.921203 0.164174 1.488643 0.013408 1186.143651 0.00769088963213 1.091998 0.00543828021223 1186.654676 0.145173 1.142338 0.017157 0 0 0 0 0 0 0 0 0 0 1.6 1.2 1201 1185 0 0 0 0 0 0 -0.10460375 -0.0900016666667 6.64953586497e-05 0.00139635105485 1 0 0 0 0 {54 WARN: } 0 {54 FAIL: }
IMAGERQA bias 5 5 4606 40 1194.047817 0.0063623494014 0.903364 0.00449886040601 1194.506597 0.153796 0.955437 0.009126 1185.558879 0.00732854383131 1.04055 0.00518206303935 1186.009946 0.191292 1.090505 0.006928 0 0 0 0 0 0 0 0 0 0 1 1.1 1198 1189 0 0 0 0 0 0 -0.096636 -0.0540454545455 0.00293810176619 0.00251476366695 1 0 0 0 0 {55 WARN: } 0 {55 FAIL: }
IMAGERQA bias 5 6 4606 40 1070.415179 0.00726257954173 1.031184 0.00513541924287 1071.518804 0.102317 1.171293 0.009518 1068.849752 0.00751056892893 1.066395 0.00531077422021 1069.862619 0.103134 1.127332 0.012016 0 0 0 0 0 0 0 0 0 0 1.4 1.3 1074 1071 0 0 0 0 0 0 -0.26344 -0.179696153846 0.00231670961718 0.00106198039216 3 0 0 0 0 {56 WARN: } 0 {56 FAIL: }
IMAGERQA bias 6 0 4606 40 423.972669 0.00701002632156 0.995325 0.00495683714827 428.396751 0.324984 1.401691 0.01942 424.065476 0.0070836322142 1.005776 0.00500888437409 428.299142 0.399993 1.407309 0.0129 0 0 0 0 0 0 0 0 -0.04764 0.00143695003735 1.5 1.5 416 416 0 0 0 0 0 0 -0.33645 -0.329482666667 0.0297998822115 0.0295652451923 0 0 0 0 0 {60 WARN: } 0 {60 FAIL: }
IMAGERQA bias 6 1 4606 40 1252.402034 0.007815063921 1.109629 0.00552608469395 1253.262605 0.11809 1.166668 0.005186 1272.318006 0.548123918578 77.825876 0.387582139757 1253.126357 0.112159 1.162964 0.006282 0 0 0 0 0 0 0 0 0.180841 0.00115172871378 1.1 1.1 1252 1252 0 0 0 0 0 0 0.00875363636364 69.7507963636 0.00100847044728 0.000899646166134 0 0 0 0 0 {61 WARN: } 0 {61 FAIL: }
IMAGERQA bias 6 2 4606 40 1155.181696 0.00816984559123 1.160003 0.00577695321881 1156.371623 0.03145 1.277837 0.005332 1155.574454 0.00818110022872 1.161601 0.0057849114493 1156.652017 0.058283 1.275313 0.012618 0 0 0 0 0 0 0 0 -0.322226 0.00125800976534 1.2 1.2 1146 1146 0 0 0 0 0 0 -0.0333308333333 -0.0319991666667 0.00905028184991 0.00929495375218 0 0 0 0 0 {62 WARN: } 0 {62 FAIL: }
IMAGERQA bias 6 3 4606 40 1210.560665 0.0133087989942 1.889662 0.00941074201822 1214.840099 0.144462 2.23425 0.016382 1229.019048 0.490342623779 69.621746 0.346724594379 1215.244697 0.160829 2.23287 0.016039 0 0 0 0 0 0 0 0 -0.422793 0.00219650875055 2.1 2.1 1213 1213 0 0 0 0 0 0 -0.100160952381 32.153212381 0.00151698186315 0.00185053338829 0 0 0 0 0 {63 WARN: } 0 {63 FAIL: }
IMAGERQA bias 6 4 4606 40 246.386706 0.0611743144563 8.685891 0.0432567725865 249.91252 0.106531 8.873662 0.091075 246.303571 0.0616012370851 8.746508 0.0435586524724 249.613759 0.187711 8.816535 0.024117 0 0 0 0 0 0 0 0 0.19185 0.00869047207038 7.8 7.8 239 239 0 0 0 0 0 0 0.113575769231 0.121347179487 0.0456590794979 0.0444090334728 0 0 0 0 0 {64 WARN: } 0 {64 FAIL: }
IMAGERQA bias 6 5 4606 40 887.213889 0.0114554038853 1.626506 0.00810019376856 890.499056 0.208594 1.878295 0.011077 889.430556 0.0111395063538 1.581653 0.00787682048183 892.381857 0.34644 1.795953 0.055769 0 0 0 0 0 0 0 0 -2.045485 0.00185498056385 2 2 898 898 0 0 0 0 0 0 -0.186747 -0.2091735 0.00835294432071 0.00625628396437 0 0 0 0 0 {65 WARN: } 0 {65 FAIL: }
IMAGERQA bias 7 1 4606 40 721.86994 0.00901399974676 1.279861 0.00637386034655 723.708912 0.087135 1.450145 0.00727 722.061508 0.0090209229687 1.280844 0.00637875580373 723.817344 0.114676 1.460809 0.025091 0 0 0 0 0 0 0 0 -0.158558 0.00143851398098 1.4 1.4 704 704 0 0 0 0 0 0 -0.0858135714286 -0.0851114285714 0.0279956136364 0.0281496363636 0 0 0 0 0 {71 WARN: } 0 {71 FAIL: }
IMAGERQA bias 7 2 4606 40 954.281746 0.0077170330704 1.09571 0.00545676641472 956.277881 0.05177 1.349989 0.003926 954.852927 0.0079319980551 1.126232 0.00560876961312 956.818948 0.12433 1.371114 0.009318 0 0 0 0 0 0 0 0 -0.598105 0.00134348771133 1.3 1.3 948 948 0 0 0 0 0 0 -0.157146153846 -0.133667692308 0.00873194198312 0.00930268776371 0 0 0 0 0 {72 WARN: } 0 {72 FAIL: }
IMAGERQA bias 7 3 4606 40 1004.84251 0.0112706179505 1.600269 0.00796953038096 1007.890894 0.0986 1.777904 0.010981 1005.126538 0.0113612044007 1.613131 0.00803358467418 1008.219522 0.058946 1.808378 0.007082 0 0 0 0 0 0 0 0 -0.370879 0.00176578335991 1.9 1.9 1019 1019 0 0 0 0 0 0 -0.157753157895 -0.150983684211 0.0109019685967 0.010579468106 0 0 0 0 0 {73 WARN: } 0 {73 FAIL: }
IMAGERQA bias 7 4 4606 40 872.501736 0.0072820321755 1.033946 0.00514917433211 874.034642 0.046427 1.167989 0.00586 872.205258 0.00710670492535 1.009052 0.00502519924461 873.66556 0.08789 1.188982 0.023807 0 0 0 0 0 0 0 0 0.326658 0.00116467943702 1.2 1.2 856 856 0 0 0 0 0 0 -0.138378333333 -0.159123333333 0.0210685070093 0.0206373364486 0 0 0 0 0 {74 WARN: } 0 {74 FAIL: }
IMAGERQA bias 7 5 4606 40 1088.186855 0.0122222405125 1.735386 0.00864242914766 1091.713463 0.166307 1.927823 0.009501 1087.554663 0.0121415141952 1.723924 0.00858534702133 1091.016631 0.224882 2.009785 0.029413 0 0 0 0 0 0 0 0 0.611374 0.00195810112583 1.9 1.9 1089 1089 0 0 0 0 0 0 -0.0866389473684 -0.0926715789474 0.00249170156107 0.00185181910009 0 0 0 0 0 {75 WARN: } 0 {75 FAIL: }
IMAGERQA bias 7 6 4606 40 926.352331 0.011461488996 1.62737 0.00810449659155 939.836101 9.166562 6.297511 6.153305 944.225595 0.481461334379 68.360728 0.340444574419 936.010439 4.696828 3.179698 1.800984 0 0 0 0 0 0 0 0 -0.01432 0.0113383723212 6 3 936 936 0 0 0 0 0 0 -0.728771666667 21.7869093333 0.00409839850427 1.11527777778e-05 0 0 0 0 0 {76 WARN: } 0 {76 FAIL: }
IMAGERQA bias 8 1 4606 40 498.69256 0.00777844761292 1.10443 0.0055001930542 501.642443 0.103269 1.407321 0.014652 498.705407 0.00779060374828 1.106156 0.00550878873995 501.660464 0.10128 1.418039 0.018187 0 0 0 0 0 0 0 0 0.0148620000001 0.00139215205565 1.4 1.4 499 499 0 0 0 0 0 0 -0.211121428571 -0.209888571429 0.00529547695391 0.00533159118236 0 0 0 0 0 {81 WARN: } 0 {81 FAIL: }
IMAGERQA bias 8 2 4606 40 739.612897 0.00834440515959 1.184788 0.00590038547332 743.291137 0.054123 1.515719 0.005793 739.110863 0.00889726985828 1.263287 0.00629131985083 742.645015 0.034951 1.51626 0.007978 0 0 0 0 0 0 0 0 0.62796 0.00148907689854 1.6 1.6 739 739 0 0 0 0 0 0 -0.2595075 -0.210445625 0.00580668064953 0.00493236129905 0 0 0 0 0 {82 WARN: } 0 {82 FAIL: }
IMAGERQA bias 8 3 4606 40 460.137649 0.0104023698558 1.47699 0.00735558626542 463.560566 0.177879 1.690394 0.032099 459.69752 0.0108447869793 1.539807 0.00766842241356 462.895641 0.18781 1.67711 0.020724 0 0 0 0 0 0 0 0 0.612867 0.00166228909745 1.8 1.8 456 456 0 0 0 0 0 0 -0.17945 -0.144551666667 0.0165801885965 0.0151220197368 0 0 0 0 0 {83 WARN: } 0 {83 FAIL: }
IMAGERQA bias 8 4 4606 40 1134.359524 0.0147385887046 2.092672 0.0104217560181 1138.902159 0.144128 2.290862 0.01717 1149.150645 0.409945296928 58.206458 0.289875099373 1138.576202 0.098403 2.296508 0.01642 0 0 0 0 0 0 0 0 0.291059 0.00225571028005 2.4 2.4 1134 1134 0 0 0 0 0 0 -0.128053333333 23.2526908333 0.00432289153439 0.00403545149912 0 0 0 0 0 {84 WARN: } 0 {84 FAIL: }
IMAGERQA bias 8 5 4606 40 1255.353175 0.0246121455432 3.494578 0.0174034150131 1257.678398 0.208955 3.208893 0.050127 1265.801637 0.290468551474 41.242443 0.205392282469 1257.309297 0.309268 3.197882 0.051196 0 0 0 0 0 0 0 0 0.445071 0.0031534414725 3.1 3.1 1251 1251 0 0 0 0 0 0 0.127283225806 12.304013871 0.00533844764189 0.0050434028777 0 0 0 0 0 {85 WARN: } 0 {85 FAIL: }
IMAGERQA bias 8 6 4606 40 700.966518 0.00766531667297 1.088367 0.0054201973994 703.60287 0.100455 1.406133 0.014506 700.605605 0.0077191811708 1.096015 0.00545828535108 703.199928 0.090069 1.395535 0.01044 0 0 0 0 0 0 0 0 0.372614 0.00138091621481 1.3 1.3 699 699 0 0 0 0 0 0 -0.162794615385 -0.156911538462 0.00658493562232 0.0060084806867 0 0 0 0 0 {86 WARN: } 0 {86 FAIL: }
IMAGERQA bias 9 0 4606 40 1259.26746 0.0108749660291 1.544092 0.00768976222435 1262.765116 0.437065 1.381906 0.010917 1277.982837 0.504196223292 71.588762 0.356520568538 1262.929485 0.579676 1.374926 0.037247 0 0 0 0 0 0 0 0 -0.287911 0.00144475822808 1.5 1.5 1254 1254 0 0 0 0 0 0 0.0293946666667 46.7258413333 0.00698972567783 0.00712080143541 0 0 0 0 0 {90 WARN: } 0 {90 FAIL: }
IMAGERQA bias 9 1 4606 40 1047.564583 0.010745234851 1.525672 0.00759802842859 1050.480415 0.061518 1.735689 0.016265 1066.866468 0.514216160848 73.011452 0.363605734331 1050.914449 0.065044 1.740989 0.016794 0 0 0 0 0 0 0 0 -0.423998 0.00170754359706 1.6 1.6 1045 1045 0 0 0 0 0 0 -0.046455 44.6321575 0.00524441626794 0.00565975980861 0 0 0 0 0 {91 WARN: } 0 {91 FAIL: }
IMAGERQA bias 9 2 4606 40 1110.910813 0.00893595679429 1.26878 0.00631867564563 1112.863352 0.129134 1.36501 0.011676 1126.500595 0.408720428953 58.032544 0.289008986922 1113.428813 0.130669 1.357706 0.008849 0 0 0 0 0 0 0 0 -0.559794 0.00134346566892 1.4 1.4 1109 1109 0 0 0 0 0 0 -0.0937285714286 40.4518171429 0.00348363570784 0.00399351938683 0 0 0 0 0 {92 WARN: } 0 {92 FAIL: }
IMAGERQA bias 9 3 4606 40 738.998363 0.00773474609499 1.098225 0.00546929141453 742.026787 0.219871 1.385789 0.01685 739.094444 0.00778820210161 1.105815 0.0055070905193 742.059568 0.181593 1.383534 0.008262 0 0 0 0 0 0 0 0 -0.094924 0.00137715656278 1.4 1.4 733 733 0 0 0 0 0 0 -0.215553571429 -0.210132142857 0.0123148526603 0.012359574352 0 0 0 0 0 {93 WARN: } 0 {93 FAIL: }
IMAGERQA bias 9 4 4606 40 963.243601 0.00798944741556 1.134389 0.00564939244548 966.730382 0.131161 1.42687 0.012016 978.602629 0.404959386875 57.498529 0.286349528564 967.275982 0.110704 1.430534 0.008339 0 0 0 0 0 0 0 0 -0.488363 0.00140954805002 1.4 1.4 959 959 0 0 0 0 0 0 -0.189722142857 40.0703778571 0.00806087799791 0.00862980396246 0 0 0 0 0 {94 WARN: } 0 {94 FAIL: }
IMAGERQA bias 9 5 4606 40 536.533383 0.00694896392666 0.986655 0.00491365951476 538.50327 0.119637 1.155068 0.017601 536.708234 0.00690639632403 0.980611 0.00488355967428 538.638888 0.098697 1.145082 0.013064 0 0 0 0 0 0 0 0 -0.155797 0.00113463565875 1.1 1.1 528 528 0 0 0 0 0 0 -0.103040909091 -0.108535454545 0.0198925568182 0.0201494090909 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 53121 1082948739 {EXEC v4_9} v3_136_0 opECalib-52526.par


IMAGERQA LED 1 1 4607 25 1781.000794 0 1.301441 0 0 0 0 0 1799.075645 0 1.308543 0 0 0 0 0 4.477185 0.043299 4.577757 0.053206 168.357157 1.068179 164.227342 10.582766 0 0 0 0 0 0 4.71 4.71 0 0 -0.0494299363057 -0.0280770700637 0 0 0 0 0 0 0 0 0 {11 WARN: } 0 {11 FAIL: }
IMAGERQA LED 1 2 4607 25 1042.542758 0 0.884701 0 0 0 0 0 1037.800546 0 0.772898 0 0 0 0 0 4.792538 0.038624 4.607514 0.064228 161.094855 2.261988 168.896425 0.898205 0 0 0 0 0 0 4.62 4.58 0 0 0.0373458874459 0.00600742358079 0 0 0 0 0 0 0 0 0 {12 WARN: } 0 {12 FAIL: }
IMAGERQA LED 1 3 4607 25 1784.122073 0 1.094144 0 0 0 0 0 1784.196875 0 1.104859 0 0 0 0 0 4.621341 0.0414 4.587779 0.045818 168.751406 1.862028 164.92703 10.884183 0 0 0 0 0 0 4.72 4.72 0 0 -0.0209023305085 -0.0280129237288 0 0 0 0 0 0 0 0 0 {13 WARN: } 0 {13 FAIL: }
IMAGERQA LED 1 4 4607 25 1056.475634 0 1.196497 0 0 0 0 0 1042.573214 0 1.039782 0 0 0 0 0 4.692998 0.078509 5.24045 0.077804 166.991323 2.847208 154.647594 1.737421 0 0 0 0 0 0 4.76 4.76 0 0 -0.0140760504202 0.10093487395 0 0 0 0 0 0 0 0 0 {14 WARN: } 0 {14 FAIL: }
IMAGERQA LED 1 5 4607 25 1131.858681 0 0.887199 0 0 0 0 0 1123.051835 0 0.830197 0 0 0 0 0 5.009871 0.05244 4.804065 0.060089 165.954416 1.265877 171.535639 1.429797 0 0 0 0 0 0 4.96 4.49 0 0 0.0100546370968 0.0699476614699 0 0 0 0 0 0 0 0 0 {15 WARN: } 0 {15 FAIL: }
IMAGERQA LED 1 6 4607 25 1206.728224 0 1.050036 0 0 0 0 0 1202.007341 0 0.889113 0 0 0 0 0 4.837446 0.028726 4.865424 0.050461 160.367093 1.623402 162.469213 0.872854 0 0 0 0 0 0 4.95 4.84 0 0 -0.0227381818182 0.00525289256198 0 0 0 0 0 0 0 0 0 {16 WARN: } 0 {16 FAIL: }
IMAGERQA LED 2 1 4607 25 1193.135863 0 1.156436 0 0 0 0 0 1188.808631 0 5.036699 0 0 0 0 0 5.142626 0.055796 5.042991 0.062251 223.265164 0.660104 225.144151 0.602936 0 0 0 0 0 0 5.46 4.87 0 0 -0.0581271062271 0.0355217659138 0 0 0 0 0 0 0 0 0 {21 WARN: } 0 {21 FAIL: }
IMAGERQA LED 2 2 4607 25 1173.668304 0 3.7048 0 0 0 0 0 1169.386458 0 0.980821 0 0 0 0 0 4.457779 0.073836 6.276262 0.06584 256.678183 2.299661 189.538749 0.414772 0 0 0 0 0 0 4.39 6 0 0 0.0154394077449 0.0460436666667 0 0 0 0 0 0 0 0 0 {22 WARN: } 0 {22 FAIL: }
IMAGERQA LED 2 3 4607 25 1156.070437 0 3.009607 0 0 0 0 0 1150.844742 0 1.101047 0 0 0 0 0 5.066481 0.059045 4.672686 0.034776 229.385649 2.445904 246.796766 0.572386 0 0 0 0 0 0 5.09 4.63 0 0 -0.00462062868369 0.00921943844492 0 0 0 0 0 0 0 0 0 {23 WARN: } 0 {23 FAIL: }
IMAGERQA LED 2 4 4607 25 1016.446848 0 3.275416 0 0 0 0 0 1009.480308 0 1.921735 0 0 0 0 0 4.920574 0.071841 4.686359 0.039997 237.179854 1.075756 244.990928 0.321696 0 0 0 0 0 0 4.9 4.87 0 0 0.0041987755102 -0.03770862423 0 0 0 0 0 0 0 0 0 {24 WARN: } 0 {24 FAIL: }
IMAGERQA LED 2 5 4607 25 1876.776935 0 2.933353 0 0 0 0 0 1876.825794 0 2.969306 0 0 0 0 0 4.854106 0.081675 4.954706 0.086527 228.627098 1.531421 223.400167 14.321135 0 0 0 0 0 0 4.64 4.64 0 0 0.0461435344828 0.0678245689655 0 0 0 0 0 0 0 0 0 {25 WARN: } 0 {25 FAIL: }
IMAGERQA LED 2 6 4607 25 1083.720585 0 3.265356 0 0 0 0 0 1084.45032 0 1.160471 0 0 0 0 0 4.921468 0.06439 5.275317 0.054996 236.601549 1.150811 217.749459 1.046594 0 0 0 0 0 0 4.37 5.15 0 0 0.126194050343 0.0243333980583 0 0 0 0 0 0 0 0 0 {26 WARN: } 0 {26 FAIL: }
IMAGERQA LED 3 1 4607 25 1128.073462 0 2.068521 0 0 0 0 0 1128.00997 0 3.46996 0 0 0 0 0 1.628798 0.020897 1.606762 0.019191 171.364087 2.666479 162.749097 7.331283 0 0 0 0 0 0 1.63 1.61 0 0 -0.000737423312883 -0.00201118012422 0 0 0 0 0 0 0 0 0 {31 WARN: } 0 {31 FAIL: }
IMAGERQA LED 3 2 4607 25 1748.275149 0 3.734085 0 0 0 0 0 1227.845437 0 1.952212 0 0 0 0 0 1.843091 0.020488 1.792515 0.014697 124.345437 3.711257 130.638006 2.184852 0 0 0 0 0 0 1.85 1.8 0 0 -0.00373459459459 -0.00415833333333 0 0 0 0 0 0 0 0 0 {32 WARN: } 0 {32 FAIL: }
IMAGERQA LED 3 3 4607 25 1210.099355 0 2.611369 0 0 0 0 0 1203.019847 0 2.472013 0 0 0 0 0 1.494805 0.01652 1.535001 0.014851 149.091579 8.267223 150.651272 6.583623 0 0 0 0 0 0 1.53 1.65 0 0 -0.0230032679739 -0.0696963636364 0 0 0 0 0 0 0 0 0 {33 WARN: } 0 {33 FAIL: }
IMAGERQA LED 3 4 4607 25 1224.182589 0 3.24304 0 0 0 0 0 1235.747371 0 3.292355 0 0 0 0 0 1.581547 0.029919 1.588751 0.025454 136.075552 8.15127 134.491349 10.246535 0 0 0 0 0 0 1.6 1.6 0 0 -0.011533125 -0.007030625 0 0 0 0 0 0 0 0 0 {34 WARN: } 0 {34 FAIL: }
IMAGERQA LED 3 5 4607 25 1144.076885 0 2.220763 0 0 0 0 0 1120.851636 0 3.001835 0 0 0 0 0 1.383366 0.039687 1.38001 0.012026 160.699803 0.62508 157.43304 1.926052 0 0 0 0 0 0 1.49 1.45 0 0 -0.071566442953 -0.0482689655172 0 0 0 0 0 0 0 0 0 {35 WARN: } 0 {35 FAIL: }
IMAGERQA LED 3 6 4607 25 1286.3313 0 2.472851 0 0 0 0 0 1285.810813 0 2.544431 0 0 0 0 0 2.235739 0.028228 2.227928 0.028408 105.253905 4.742852 102.705998 9.443662 0 0 0 0 0 0 2.17 2.17 0 0 0.0302944700461 0.0266949308756 0 0 0 0 0 0 0 0 0 {36 WARN: } 0 {36 FAIL: }
IMAGERQA LED 4 1 4607 25 1156.906448 0 0.796556 0 0 0 0 0 1166.238244 0 0.786251 0 0 0 0 0 4.689781 0.028948 4.787811 0.083264 74.030974 0.223218 71.631033 0.357156 0 0 0 0 0 0 4.68 4.81 0 0 0.00208995726496 -0.0046130977131 0 0 0 0 0 0 0 0 0 {41 WARN: } 0 {41 FAIL: }
IMAGERQA LED 4 2 4607 25 1058.355825 0 0.847935 0 0 0 0 0 1056.420188 0 0.932908 0 0 0 0 0 4.810241 0.051777 4.639881 0.062575 72.824864 0.22379 74.378429 0.563109 0 0 0 0 0 0 5.68 4.63 0 0 -0.153126584507 0.00213412526998 0 0 0 0 0 0 0 0 1 {42 WARN: leftGain } 0 {42 FAIL: }
IMAGERQA LED 4 3 4607 25 1026.17004 0 0.931405 0 0 0 0 0 1025.162897 0 0.925473 0 0 0 0 0 4.460226 0.030214 4.554628 0.068291 67.407701 0.275406 61.232451 0.334013 0 0 0 0 0 0 4.66 5.11 0 0 -0.0428699570815 -0.108683365949 0 0 0 0 0 0 0 0 0 {43 WARN: } 0 {43 FAIL: }
IMAGERQA LED 4 4 4607 25 1020.172768 0 3.239676 0 0 0 0 0 1018.599653 0 3.936108 0 0 0 0 0 4.536601 0.078481 4.214079 0.083443 62.596044 0.38074 63.932623 0.174473 0 0 0 0 0 0 4.74 4.81 0 0 -0.0429111814346 -0.123892099792 0 0 0 0 0 0 0 0 0 {44 WARN: } 0 {44 FAIL: }
IMAGERQA LED 4 5 4607 25 1059.896518 0 1.571495 0 0 0 0 0 1059.732887 0 1.210253 0 0 0 0 0 3.407528 0.044026 3.520612 0.052733 106.202065 0.852217 97.644474 0.337583 0 0 0 0 0 0 3.41 3.55 0 0 -0.000724926686217 -0.00827830985915 0 0 0 0 0 0 0 0 0 {45 WARN: } 0 {45 FAIL: }
IMAGERQA LED 4 6 4607 25 1042.657093 0 1.00496 0 0 0 0 0 1048.735813 0 1.124205 0 0 0 0 0 4.715251 0.065438 4.417807 0.041519 67.879517 0.226538 70.389342 0.223716 0 0 0 0 0 0 4.96 4.42 0 0 -0.0493445564516 -0.000496153846154 0 0 0 0 0 0 0 0 0 {46 WARN: } 0 {46 FAIL: }
IMAGERQA LED 5 1 4607 25 1575.289286 0 4.15994 0 0 0 0 0 1595.615873 0 4.25296 0 0 0 0 0 3.235378 0.069967 3.339669 0.054957 140.856404 0.92077 138.273963 7.7145 0 0 0 0 0 0 3.32 3.32 0 0 -0.0254885542169 0.00592439759036 0 0 0 0 0 0 0 0 0 {51 WARN: } 0 {51 FAIL: }
IMAGERQA LED 5 2 4607 25 1109.834772 0 0.998278 0 0 0 0 0 1100.595138 0 1.120928 0 0 0 0 0 4.156434 0.03378 3.677023 0.025059 115.292362 0.794301 128.089083 1.503641 0 0 0 0 0 0 4.2 3.51 0 0 -0.0103728571429 0.0475849002849 0 0 0 0 0 0 0 0 0 {52 WARN: } 0 {52 FAIL: }
IMAGERQA LED 5 3 4607 25 1124.928522 0 1.189446 0 0 0 0 0 1118.402877 0 0.903307 0 0 0 0 0 3.812846 0.046035 4.133353 0.036096 119.778128 1.902033 115.030873 2.100094 0 0 0 0 0 0 3.79 3.9 0 0 0.00602796833773 0.0598341025641 0 0 0 0 0 0 0 0 0 {53 WARN: } 0 {53 FAIL: }
IMAGERQA LED 5 4 4607 25 1200.826339 0 1.457347 0 0 0 0 0 1186.679712 0 1.102057 0 0 0 0 0 3.905609 0.026697 3.934942 0.040371 121.678257 2.132633 116.746322 1.527942 0 0 0 0 0 0 3.85 4.14 0 0 0.0144438961039 -0.0495309178744 0 0 0 0 0 0 0 0 0 {54 WARN: } 0 {54 FAIL: }
IMAGERQA LED 5 5 4607 25 1194.285268 0 0.924706 0 0 0 0 0 1185.715675 0 1.060479 0 0 0 0 0 4.131399 0.037965 4.021374 0.0376 105.276742 0.661919 110.669555 0.569082 0 0 0 0 0 0 4.2 3.9 0 0 -0.0163335714286 0.0311215384615 0 0 0 0 0 0 0 0 0 {55 WARN: } 0 {55 FAIL: }
IMAGERQA LED 5 6 4607 25 1070.676389 0 1.043374 0 0 0 0 0 1069.176835 0 1.070403 0 0 0 0 0 3.885017 0.039992 3.931294 0.058356 116.534371 0.970022 114.772874 0.489533 0 0 0 0 0 0 3.99 4.08 0 0 -0.0263115288221 -0.0364475490196 0 0 0 0 0 0 0 0 0 {56 WARN: } 0 {56 FAIL: }