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

QAEXEC 53182 1088246311 {EXEC v4_9} v3_139_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 4697 27 1781.424058 0.00900673142017 1.278829 0.00636872086353 1782.092652 0.103765 1.335075 0.007021 1799.089335 0.00895445158656 1.271406 0.00633175343866 1799.756996 0.090573 1.343578 0.009778 0 0 0 0 0 0 0 0 -17.646074 0.00131843375583 1.35 1.35 1814 1817 0 0 0 0 0 0 -0.0527192592593 -0.0582177777778 0.0175604556962 0.00948982058338 78 83 0 0 0 {11 WARN: } 0 {11 FAIL: }
IMAGERQA bias 1 2 4697 27 1041.357688 0.00596016866339 0.84626 0.0042144756789 1042.073222 0.021207 0.981474 0.004143 1036.891766 0.00523304020033 0.743018 0.00370031821188 1037.650981 0.057887 0.878615 0.00717 0 0 0 0 0 0 0 0 0 0 1.1 0.9 1044 1038 0 0 0 0 0 0 -0.230672727273 -0.174424444444 0.00185624084778 0.000336241811175 1 1 0 0 0 {12 WARN: } 0 {12 FAIL: }
IMAGERQA bias 1 3 4697 27 1779.817163 0.00843780174769 1.198049 0.0059664268341 1780.393374 0.047758 1.262315 0.004398 1779.79623 0.00848096800125 1.204178 0.00599694998471 1780.39773 0.041084 1.268504 0.006203 0 0 0 0 0 0 0 0 0.00601499999993 0.00124268532469 1.15 1.15 1803 1803 0 0 0 0 0 0 0.0417817391304 0.0471113043478 0.0125383394343 0.0125359234609 0 2 0 0 0 {13 WARN: } 0 {13 FAIL: }
IMAGERQA bias 1 4 4697 27 1056.229622 0.00842149027058 1.195733 0.00595489287802 1056.746788 0.055105 1.228829 0.00785 1042.522768 0.00725352934826 1.029899 0.00512901978969 1043.018762 0.027682 1.078893 0.003456 0 0 0 0 0 0 0 0 0 0 1.2 1.1 1056 1042 0 0 0 0 0 0 -0.00355583333333 -0.0637281818182 0.000716687140115 0.00097769865643 1 1 0 0 0 {14 WARN: } 0 {14 FAIL: }
IMAGERQA bias 1 5 4697 27 1130.631746 0.00590717044866 0.838735 0.00417700028188 1131.705697 0.051551 0.987098 0.00897 1121.67252 0.0057269624327 0.813148 0.00404957397176 1122.747534 0.024597 0.94271 0.002977 0 0 0 0 0 0 0 0 0 0 1 0.8 1135 1125 0 0 0 0 0 0 -0.161265 0.016435 0.00292826933333 0.002002192 0 0 0 0 0 {15 WARN: } 0 {15 FAIL: }
IMAGERQA bias 1 6 4697 27 1204.764472 0.0072750737388 1.032958 0.00514425397434 1205.1935 0.061895 1.08109 0.003363 1200.150595 0.00614174301206 0.872041 0.00434286813214 1200.591093 0.064075 0.931267 0.003737 0 0 0 0 0 0 0 0 0 0 1 0.9 1206 1200 0 0 0 0 0 0 0.032958 -0.0310655555556 0.000672083333333 0.0004925775 1 0 0 0 0 {16 WARN: } 0 {16 FAIL: }
IMAGERQA bias 2 1 4697 27 1191.88745 0.00814000460309 1.155766 0.00575585245373 1192.426755 0.02786 1.19506 0.003713 1187.320933 0.0334887795517 4.754935 0.0236801431147 1187.816127 0.025116 4.747392 0.022533 0 0 0 0 0 0 0 0 0 0 1.1 4.5 1203 1198 0 0 0 0 0 0 0.0506963636364 0.0566522222222 0.00882574707846 0.00850072871452 39 0 0 0 0 {21 WARN: } 0 {21 FAIL: }
IMAGERQA bias 2 2 4697 27 1172.461409 0.0261128577815 3.707658 0.0184645788134 1173.853845 0.024885 3.746163 0.011357 1167.386558 0.00617406311936 0.87663 0.00436572189917 1168.439449 0.033202 1.033678 0.007297 0 0 0 0 0 0 0 0 0 0 4 1 1177 1169 0 0 0 0 0 0 -0.0730855 -0.12337 0.00269132164243 0.000479513259196 1 0 0 0 0 {22 WARN: } 0 {22 FAIL: }
IMAGERQA bias 2 3 4697 27 1153.661342 0.0197924069023 2.810243 0.0139953451366 1154.449953 0.038174 2.830107 0.011324 1148.148214 0.00706234136993 1.002753 0.00499382947373 1148.937713 0.066603 1.091335 0.002736 0 0 0 0 0 0 0 0 0 0 3.2 1.1 1167 1161 0 0 0 0 0 0 -0.1217990625 -0.0884063636364 0.0108096873385 0.0103895667528 0 1 0 0 0 {23 WARN: } 0 {23 FAIL: }
IMAGERQA bias 2 4 4697 27 1015.916749 0.0219382394691 3.114921 0.0155126778959 1016.462893 0.034788 3.15242 0.030228 1008.794048 0.0131736236141 1.870469 0.0093151585903 1009.377976 0.033018 1.916361 0.008333 0 0 0 0 0 0 0 0 0 0 3.6 1.9 1016 1008 0 0 0 0 0 0 -0.134744166667 -0.0155426315789 0.000459219246032 0.00136703968254 0 1 0 0 0 {24 WARN: } 0 {24 FAIL: }
IMAGERQA bias 2 5 4697 27 1873.855995 0.0199732065262 2.835914 0.0141231897767 1874.164822 0.062019 2.843849 0.128972 1873.758024 0.0197569808531 2.805213 0.013970295137 1874.081592 0.070823 2.83911 0.134927 0 0 0 0 0 0 0 0 0.0711669999998 0.00278912844821 2.8 2.8 1879 1879 0 0 0 0 0 0 0.0128264285714 0.00186178571429 0.00257327195317 0.00261756679085 0 0 0 0 0 {25 WARN: } 0 {25 FAIL: }
IMAGERQA bias 2 6 4697 27 1082.665278 0.0227408402071 3.228879 0.0160802023203 1083.988544 0.041643 3.293614 0.013053 1083.872123 0.00797645316889 1.132544 0.00564020412554 1085.152818 0.102642 1.283736 0.011546 0 0 0 0 0 0 0 0 0 0 3.3 1.2 1087 1087 0 0 0 0 0 0 -0.0215518181818 -0.0562133333333 0.00277042870285 0.00169933946642 0 0 0 0 0 {26 WARN: } 0 {26 FAIL: }
IMAGERQA bias 3 1 4697 27 1129.841964 0.0143471132538 2.037088 0.0101449410722 1131.250897 0.067967 2.251584 0.007565 1127.6187 0.0225515045252 3.201996 0.0159463217757 1128.764919 0.066263 3.345084 0.010942 0 0 0 0 0 0 0 0 0 0 2.6 3.6 1133 1135 0 0 0 0 0 0 -0.216504615385 -0.110556666667 0.00154105991189 0.00549346343612 3 1 0 0 0 {31 WARN: } 0 {31 FAIL: }
IMAGERQA bias 3 2 4697 27 1769.81498 0.0264248464746 3.751956 0.018685188134 1771.273464 0.053011 3.826832 0.008862 1227.34246 0.0132418768631 1.88016 0.00936342092553 1228.497576 0.082329 2.043565 0.024895 0 0 0 0 0 0 0 0 0 0 4.5 2.6 1792 1232 0 0 0 0 0 0 -0.166232 -0.276861538462 0.016823487013 0.00284287662338 2 1 0 0 0 {32 WARN: } 0 {32 FAIL: }
IMAGERQA bias 3 3 4697 27 1211.073363 0.0182190606987 2.58685 0.0128828213669 1212.952045 0.082344 2.901235 0.022089 1204.907576 0.0172868907705 2.454495 0.0122236776895 1206.294123 0.136644 2.655871 0.019709 0 0 0 0 0 0 0 0 0 0 3.2 2.7 1228 1223 0 0 0 0 0 0 -0.191609375 -0.0909277777778 0.0123041332788 0.0136597522486 2 0 0 0 0 {33 WARN: } 0 {33 FAIL: }
IMAGERQA bias 3 4 4697 27 1231.274603 0.0229377963632 3.256844 0.0162194713539 1232.346982 0.108586 3.34996 0.012499 1242.754762 0.0234177172068 3.324986 0.0165588266368 1243.835472 0.107909 3.455455 0.016094 0 0 0 0 0 0 0 0 -11.46564 0.00334295465254 3.55 3.55 1252 1259 0 0 0 0 0 0 -0.0825791549296 -0.0633842253521 0.0156100222399 0.0120448991263 0 0 0 0 0 {34 WARN: } 0 {34 FAIL: }
IMAGERQA bias 3 5 4697 27 1143.510218 0.0153446206489 2.17872 0.0108502853155 1145.861371 0.082309 2.573356 0.015765 1121.094692 0.0370320887647 5.258035 0.026185641087 1122.732971 0.15873 5.295533 0.520862 0 0 0 0 0 0 0 0 0 0 3.1 3 1155 1129 0 0 0 0 0 0 -0.297187096774 0.752678333333 0.00809444552702 0.00555095571302 4 0 0 0 0 {35 WARN: } 1 {35 FAIL: rightRNComp }
IMAGERQA bias 3 6 4697 27 1288.439683 0.017322563323 2.45956 0.0122489019932 1289.337002 0.158834 2.533701 0.010819 1287.87247 0.0172968706337 2.455912 0.0122307345184 1288.7613 0.150876 2.533959 0.011217 0 0 0 0 0 0 0 0 0.599641 0.0024921833457 2.65 2.65 1303 1303 0 0 0 0 0 0 -0.0718641509434 -0.073240754717 0.0104858004605 0.0109276285495 0 0 0 0 0 {36 WARN: } 0 {36 FAIL: }
IMAGERQA bias 4 1 4697 27 1155.385169 0.00549279131757 0.779899 0.0038839899883 1155.765026 0.076601 0.837515 0.003821 1165.146379 0.0056823312451 0.806811 0.00401801495636 1165.469351 0.069098 0.847349 0.004576 0 0 0 0 0 0 0 0 0 0 0.9 0.9 1166 1176 0 0 0 0 0 0 -0.133445555556 -0.103543333333 0.00870320918367 0.0089546335034 51 53 0 0 0 {41 WARN: } 0 {41 FAIL: }
IMAGERQA bias 4 2 4697 27 1056.712351 0.00607571533591 0.862666 0.00429617951458 1057.128361 0.121291 0.912511 0.006554 1055.046131 0.00674295053412 0.957404 0.00476798604788 1055.425455 0.086414 0.992872 0.006146 0 0 0 0 0 0 0 0 0 0 1 1 1060 1057 0 0 0 0 0 0 -0.137334 -0.042596 0.00271678240303 0.00148963576159 1 1 0 0 0 {42 WARN: } 0 {42 FAIL: }
IMAGERQA bias 4 3 4697 27 1024.312599 0.00684308018445 0.971621 0.00483878840263 1024.602586 0.05569 1.001268 0.008768 1023.667312 0.00705196710145 1.00128 0.00498649375814 1023.922444 0.055525 1.018023 0.010833 0 0 0 0 0 0 0 0 0 0 1 1 1036 1036 0 0 0 0 0 0 -0.028379 0.00128 0.0110013648649 0.0116578725869 2 0 0 0 0 {43 WARN: } 0 {43 FAIL: }
IMAGERQA bias 4 4 4697 27 1019.241319 0.022525354044 3.198283 0.0159278305931 1019.502637 0.065381 3.230015 0.009869 1018.966915 0.0278301196687 3.951485 0.019678866339 1019.220534 0.091712 3.951047 0.014181 0 0 0 0 0 0 0 0 0 0 3.1 4 1020 1019 0 0 0 0 0 0 0.0317041935484 -0.01212875 0.000488089303238 0.000216421982336 0 1 0 0 0 {44 WARN: } 0 {44 FAIL: }
IMAGERQA bias 4 5 4697 27 1058.852232 0.0104500154269 1.483755 0.00738927677185 1059.164772 0.055956 1.534326 0.03509 1059.378522 0.00819856674999 1.164081 0.00579726214493 1059.638529 0.052127 1.205056 0.012065 0 0 0 0 0 0 0 0 0 0 1.7 1.2 1064 1063 0 0 0 0 0 0 -0.127202941176 -0.0299325 0.00454866227658 0.00316224929445 1 0 0 0 0 {45 WARN: } 0 {45 FAIL: }
IMAGERQA bias 4 6 4697 27 1041.797619 0.00663613712222 0.942238 0.00469245756001 1042.076887 0.156374 0.972109 0.011837 1047.238244 0.00770826459501 1.094465 0.00545056616631 1047.490021 0.178662 1.114649 0.008318 0 0 0 0 0 0 0 0 0 0 1.1 1.1 1044 1049 0 0 0 0 0 0 -0.14342 -0.00503181818182 0.0018332821735 0.00143944613918 1 0 0 0 0 {46 WARN: } 0 {46 FAIL: }
IMAGERQA bias 5 1 4697 27 1581.274008 0.0286726257734 4.071109 0.0202746081188 1581.951097 0.063692 4.090627 0.019475 1600.49747 0.0302665514831 4.297424 0.0214016837968 1601.286071 0.073692 4.307726 0.011535 0 0 0 0 0 0 0 0 -19.319844 0.00412306686694 3.95 3.95 1619 1620 0 0 0 0 0 0 0.0306605063291 0.087955443038 0.0228696932099 0.0115518080247 10 12 0 0 0 {51 WARN: } 0 {51 FAIL: }
IMAGERQA bias 5 2 4697 27 1108.918006 0.00670312263986 0.951749 0.00473982347377 1109.443069 0.186669 1.021059 0.020213 1100.583929 0.00775429028713 1.101 0.00548311124532 1101.109712 0.114063 1.163543 0.003527 0 0 0 0 0 0 0 0 0 0 1.1 1.3 1113 1104 0 0 0 0 0 0 -0.134773636364 -0.153076923077 0.00322185778986 0.00261801449275 2 0 0 0 0 {52 WARN: } 0 {52 FAIL: }
IMAGERQA bias 5 3 4697 27 1123.749306 0.00856901194574 1.216679 0.0060592064549 1124.453048 0.09371 1.289677 0.005852 1115.838988 0.0062194831176 0.883079 0.00439783868793 1116.423489 0.078787 0.963598 0.008987 0 0 0 0 0 0 0 0 0 0 1.3 1 1137 1127 0 0 0 0 0 0 -0.0640930769231 -0.116921 0.011133054126 0.0093846592724 0 1 0 0 0 {53 WARN: } 0 {53 FAIL: }
IMAGERQA bias 5 4 4697 27 1199.85873 0.00984865295987 1.39837 0.00696404929348 1200.406953 0.093249 1.485925 0.008665 1185.272768 0.00768945991284 1.091795 0.00543726924803 1185.798931 0.060066 1.145537 0.00355 0 0 0 0 0 0 0 0 0 0 1.6 1.2 1201 1185 0 0 0 0 0 0 -0.12601875 -0.0901708333333 0.000500461603376 0.000674203375527 0 0 0 0 0 {54 WARN: } 0 {54 FAIL: }
IMAGERQA bias 5 5 4697 27 1193.000992 0.00645756307115 0.916883 0.00456618663755 1193.501389 0.097691 0.976872 0.012129 1184.694742 0.00719493198659 1.021579 0.0050875851979 1185.16515 0.029752 1.087467 0.004597 0 0 0 0 0 0 0 0 0 0 1 1.1 1198 1189 0 0 0 0 0 0 -0.083117 -0.0712918181818 0.00378352481077 0.00322527333894 0 0 0 0 0 {55 WARN: } 0 {55 FAIL: }
IMAGERQA bias 5 6 4697 27 1069.764236 0.00762638323363 1.082839 0.00539266730043 1070.846601 0.229186 1.153794 0.006628 1067.856845 0.00764611054253 1.08564 0.00540661661432 1068.872829 0.198239 1.180547 0.007283 0 0 0 0 0 0 0 0 0 0 1.4 1.3 1074 1071 0 0 0 0 0 0 -0.226543571429 -0.164892307692 0.00294435014006 0.00198615406162 1 0 0 0 0 {56 WARN: } 0 {56 FAIL: }
IMAGERQA bias 6 0 4697 27 416.426736 0.00703627540413 0.999052 0.00497539805255 421.202695 0.381343 1.430079 0.02528 416.519792 0.00717792325722 1.019164 0.00507555821002 421.098922 0.450927 1.433434 0.015022 0 0 0 0 0 0 0 0 -0.052526 0.00147777302339 1.5 1.5 416 416 0 0 0 0 0 0 -0.333965333333 -0.320557333333 0.0125064783654 0.0122570240385 0 0 0 0 0 {60 WARN: } 0 {60 FAIL: }
IMAGERQA bias 6 1 4697 27 1249.370486 0.00784825735436 1.114342 0.00554955599576 1250.245661 0.096986 1.166188 0.006057 1269.35129 0.549342638056 77.998917 0.388443904565 1250.099693 0.091546 1.162313 0.00772 0 0 0 0 0 0 0 0 0.187089 0.00114898585152 1.1 1.1 1252 1252 0 0 0 0 0 0 0.0130381818182 69.9081063636 0.00140122923323 0.00151781709265 0 0 0 0 0 {61 WARN: } 0 {61 FAIL: }
IMAGERQA bias 6 2 4697 27 1151.05625 0.00826666505406 1.17375 0.00584541491753 1152.274101 0.071364 1.298824 0.004632 1151.452232 0.00832801621 1.182461 0.00588879673593 1152.535637 0.084178 1.28393 0.011857 0 0 0 0 0 0 0 0 -0.2975 0.00127337906911 1.2 1.2 1146 1146 0 0 0 0 0 0 -0.021875 -0.0146158333333 0.00547478272251 0.0057029991274 0 0 0 0 0 {62 WARN: } 0 {62 FAIL: }
IMAGERQA bias 6 3 4697 27 1207.090675 0.0135979896513 1.930723 0.00961523069292 1211.607589 0.213824 2.191467 0.011303 1225.588393 0.491139878917 69.734945 0.347288338893 1211.987423 0.22876 2.202206 0.014053 0 0 0 0 0 0 0 0 -0.410025 0.00216664625175 2.1 2.1 1213 1213 0 0 0 0 0 0 -0.0806080952381 32.2071166667 0.00114790684254 0.000834770816158 0 0 0 0 0 {63 WARN: } 0 {63 FAIL: }
IMAGERQA bias 6 4 4697 27 239.185813 0.0629543783476 8.938635 0.044515467835 242.849264 0.070665 9.081309 0.0961 239.03745 0.0630342313388 8.949973 0.0445719324265 242.566783 0.151847 9.011278 0.030008 0 0 0 0 0 0 0 0 0.189812 0.00888321191277 7.8 7.8 239 239 0 0 0 0 0 0 0.145978846154 0.147432435897 0.016105707113 0.0149237782427 0 0 0 0 0 {64 WARN: } 0 {64 FAIL: }
IMAGERQA bias 6 5 4697 27 890.971776 0.0116389925183 1.652573 0.00823001053589 894.231622 0.205193 1.896843 0.012187 892.929064 0.0109634255078 1.556652 0.00775231252157 895.880795 0.323097 1.878043 0.032772 0 0 0 0 0 0 0 0 -1.795073 0.00189278832009 2 2 898 898 0 0 0 0 0 0 -0.1737135 -0.221674 0.00419641202673 0.00235991648107 0 0 0 0 0 {65 WARN: } 0 {65 FAIL: }
IMAGERQA bias 7 1 4697 27 698.744196 0.00899526549411 1.277201 0.00636061322946 700.626315 0.052027 1.477715 0.010125 698.956696 0.00911473509097 1.294164 0.00644509099154 700.722199 0.078777 1.478851 0.022341 0 0 0 0 0 0 0 0 -0.139578 0.00145701659992 1.4 1.4 704 704 0 0 0 0 0 0 -0.0877135714286 -0.0755971428571 0.00479216619318 0.00465596732955 0 0 0 0 0 {71 WARN: } 0 {71 FAIL: }
IMAGERQA bias 7 2 4697 27 948.038393 0.00789240962121 1.120611 0.00558077636306 950.050527 0.056784 1.324627 0.004215 948.623214 0.00787080888705 1.117544 0.00556550233746 950.541538 0.116613 1.339745 0.006622 0 0 0 0 0 0 0 0 -0.54253 0.00131570541261 1.3 1.3 948 948 0 0 0 0 0 0 -0.137991538462 -0.140350769231 0.00216300316456 0.00268094725738 0 0 0 0 0 {72 WARN: } 0 {72 FAIL: }
IMAGERQA bias 7 3 4697 27 1009.907044 0.0114515443476 1.625958 0.00809746466323 1013.248029 0.112617 1.861388 0.010465 1010.444444 0.0113162421944 1.606747 0.00800179159318 1013.672268 0.072121 1.833258 0.007428 0 0 0 0 0 0 0 0 -0.472391 0.00181976530256 1.9 1.9 1019 1019 0 0 0 0 0 0 -0.144232631579 -0.154343684211 0.00564472129539 0.00522839254171 0 0 0 0 0 {73 WARN: } 0 {73 FAIL: }
IMAGERQA bias 7 4 4697 27 861.222073 0.00738717640774 1.048875 0.00522352253173 862.993019 0.045981 1.258841 0.00616 860.954812 0.00730933065792 1.037822 0.00516847727415 862.62162 0.078838 1.235113 0.021198 0 0 0 0 0 0 0 0 0.331307 0.00123025860374 1.2 1.2 856 856 0 0 0 0 0 0 -0.1259375 -0.135148333333 0.00816941471963 0.00773553738318 0 0 0 0 0 {74 WARN: } 0 {74 FAIL: }
IMAGERQA bias 7 5 4697 27 1093.696429 0.0118890595764 1.688079 0.0084068346484 1097.412933 0.07676 1.953431 0.013682 1093.247569 0.012124639282 1.721528 0.00857341465571 1096.815229 0.138155 1.963891 0.021664 0 0 0 0 0 0 0 0 0.532479 0.00193227458117 1.9 1.9 1089 1089 0 0 0 0 0 0 -0.111537368421 -0.0939326315789 0.00772537465565 0.00717651882461 0 0 0 0 0 {75 WARN: } 0 {75 FAIL: }
IMAGERQA bias 7 6 4697 27 924.030605 0.011180658323 1.587496 0.00790591931835 936.838683 8.335953 5.76943 5.447163 942.04876 0.48222686806 68.469423 0.340985888476 933.498173 4.318433 3.015157 1.605983 0 0 0 0 0 0 0 0 -0.161355 0.010411606104 6 3 936 936 0 0 0 0 0 0 -0.735417333333 21.823141 0.000896028846154 0.00267289209402 0 0 0 0 0 {76 WARN: } 0 {76 FAIL: }
IMAGERQA bias 8 1 4697 27 485.80878 0.00781338065544 1.10939 0.00552489444546 489.934976 0.18331 1.517686 0.022976 485.810169 0.0079061504208 1.122562 0.00559049257563 489.963321 0.178651 1.528922 0.021905 0 0 0 0 0 0 0 0 0.031681 0.00150794945776 1.4 1.4 499 499 0 0 0 0 0 0 -0.207578571429 -0.19817 0.0181663807615 0.0181095771543 0 0 0 0 0 {81 WARN: } 0 {81 FAIL: }
IMAGERQA bias 8 2 4697 27 727.815972 0.00864423771736 1.22736 0.00611239910814 732.676297 0.064209 1.640616 0.007618 727.317361 0.00918148114824 1.303641 0.00649228758126 732.011503 0.032366 1.635147 0.009054 0 0 0 0 0 0 0 0 0.636786 0.00160924120936 1.6 1.6 739 739 0 0 0 0 0 0 -0.2329 -0.185224375 0.0085571082544 0.00945669418133 0 0 0 0 0 {82 WARN: } 0 {82 FAIL: }
IMAGERQA bias 8 3 4697 27 446.846677 0.0114656372948 1.627959 0.00810742988176 451.487265 0.199087 1.825156 0.025765 446.488194 0.0121229982741 1.721295 0.00857225428793 450.827778 0.202082 1.806519 0.017659 0 0 0 0 0 0 0 0 0.602817 0.00179331271107 1.8 1.8 456 456 0 0 0 0 0 0 -0.0955783333333 -0.043725 0.00989634868421 0.0113425921053 0 0 0 0 0 {83 WARN: } 0 {83 FAIL: }
IMAGERQA bias 8 4 4697 27 1129.467659 0.015057887982 2.138008 0.0106475347024 1134.331632 0.111103 2.242875 0.015285 1144.30754 0.410841336512 58.333683 0.290508695039 1133.998423 0.07812 2.24618 0.018006 0 0 0 0 0 0 0 0 0.30905 0.00220769105971 2.4 2.4 1134 1134 0 0 0 0 0 0 -0.109163333333 23.30570125 0.000292444444444 1.39065255732e-06 0 0 0 0 0 {84 WARN: } 0 {84 FAIL: }
IMAGERQA bias 8 5 4697 27 1250.514236 0.0243293287577 3.454422 0.0172034333463 1252.918477 0.210552 3.136026 0.050639 1261.04122 0.290962727252 41.312609 0.205741717513 1252.554772 0.308792 3.131079 0.055125 0 0 0 0 0 0 0 0 0.43747 0.00308651689205 3.1 3.1 1251 1251 0 0 0 0 0 0 0.114329677419 12.3266480645 0.00153355475619 0.00124282334133 0 0 0 0 0 {85 WARN: } 0 {85 FAIL: }
IMAGERQA bias 8 6 4697 27 694.316319 0.00748429871751 1.062665 0.00529219837558 696.910194 0.109081 1.36919 0.013685 693.886409 0.00757320190215 1.075288 0.00535506242031 696.451694 0.101021 1.35677 0.01033 0 0 0 0 0 0 0 0 0.427838 0.00134411196975 1.3 1.3 699 699 0 0 0 0 0 0 -0.182565384615 -0.172855384615 0.00298970815451 0.00364564520744 0 0 0 0 0 {86 WARN: } 0 {86 FAIL: }
IMAGERQA bias 9 0 4697 27 1254.336458 0.0109710318961 1.557732 0.00775769105032 1258.576976 0.464536 1.504448 0.012239 1273.057937 0.504735945842 71.665395 0.356902210014 1258.761896 0.640109 1.492804 0.040039 0 0 0 0 0 0 0 0 -0.315595 0.00157575046422 1.5 1.5 1254 1254 0 0 0 0 0 0 0.038488 46.77693 0.00364990111643 0.00379736523126 0 0 0 0 0 {90 WARN: } 0 {90 FAIL: }
IMAGERQA bias 9 1 4697 27 1042.253968 0.010364535117 1.471618 0.00732883306505 1045.897616 0.076796 1.741912 0.008717 1061.58244 0.51503480543 73.127688 0.364184603467 1046.351772 0.091158 1.748412 0.008048 0 0 0 0 0 0 0 0 -0.434486 0.00171626438356 1.6 1.6 1045 1045 0 0 0 0 0 0 -0.08023875 44.704805 0.000858962679426 0.00129356172249 0 0 0 0 0 {91 WARN: } 0 {91 FAIL: }
IMAGERQA bias 9 2 4697 27 1104.894643 0.00927781464737 1.317319 0.00656040565175 1107.402733 0.116887 1.456902 0.022123 1120.528373 0.40990646209 58.200944 0.289847638996 1107.970019 0.121589 1.452402 0.022264 0 0 0 0 0 0 0 0 -0.555681 0.00143443467823 1.4 1.4 1109 1109 0 0 0 0 0 0 -0.0590578571429 40.5721028571 0.00144027682597 0.000928747520288 0 0 0 0 0 {92 WARN: } 0 {92 FAIL: }
IMAGERQA bias 9 3 4697 27 729.531548 0.00784984201858 1.114567 0.00555067652258 733.041884 0.205335 1.446171 0.020228 729.648264 0.00788438065579 1.119471 0.00557509902717 733.089912 0.158911 1.442963 0.009022 0 0 0 0 0 0 0 0 -0.106003 0.00143293961774 1.4 1.4 733 733 0 0 0 0 0 0 -0.203880714286 -0.200377857143 5.71405184174e-05 0.000122663028649 0 0 0 0 0 {93 WARN: } 0 {93 FAIL: }
IMAGERQA bias 9 4 4697 27 956.994692 0.00816035169177 1.158655 0.00577024001812 960.538468 0.129701 1.47266 0.009888 972.414087 0.406437695482 57.708428 0.287394850605 961.111815 0.104841 1.467738 0.003913 0 0 0 0 0 0 0 0 -0.516222 0.00144951131296 1.4 1.4 959 959 0 0 0 0 0 0 -0.172389285714 40.2203057143 0.00160424191867 0.00220210114703 0 0 0 0 0 {94 WARN: } 0 {94 FAIL: }
IMAGERQA bias 9 5 4697 27 525.828323 0.00671510974438 0.953451 0.00474829963666 527.696155 0.112712 1.111077 0.019449 525.973859 0.00660732440509 0.938147 0.00467208389234 527.800794 0.095149 1.110359 0.015862 0 0 0 0 0 0 0 0 -0.123915 0.00109663258878 1.1 1.1 528 528 0 0 0 0 0 0 -0.133226363636 -0.147139090909 0.000575464015152 0.000377284090909 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 53182 1088247544 {EXEC v4_9} v3_139_0 opECalib-52526.par


IMAGERQA LED 1 1 4698 27 1781.450794 0 1.306106 0 0 0 0 0 1799.325198 0 1.305057 0 0 0 0 0 4.494438 0.049898 4.61044 0.052568 167.012839 1.182826 162.900262 10.587244 0 0 0 0 0 0 4.71 4.71 0 0 -0.0457668789809 -0.0211380042463 0 0 0 0 0 0 0 0 0 {11 WARN: } 0 {11 FAIL: }
IMAGERQA LED 1 2 4698 27 1040.063442 0 0.877289 0 0 0 0 0 1035.197778 0 0.749769 0 0 0 0 0 4.895173 0.046059 4.649178 0.05582 159.642178 2.329177 167.487154 0.942466 0 0 0 0 0 0 4.62 4.58 0 0 0.0595612554113 0.0151043668122 0 0 0 0 0 0 0 0 0 {12 WARN: } 0 {12 FAIL: }
IMAGERQA LED 1 3 4698 27 1779.943747 0 1.153401 0 0 0 0 0 1779.986607 0 1.157669 0 0 0 0 0 4.657768 0.026583 4.666894 0.06081 165.832792 1.887544 162.035891 10.778926 0 0 0 0 0 0 4.72 4.72 0 0 -0.0131847457627 -0.0112512711864 0 0 0 0 0 0 0 0 0 {13 WARN: } 0 {13 FAIL: }
IMAGERQA LED 1 4 4698 27 1056.390228 0 1.215637 0 0 0 0 0 1042.644048 0 1.053426 0 0 0 0 0 4.681651 0.079211 5.223889 0.07473 165.587709 2.974345 153.390792 1.857495 0 0 0 0 0 0 4.76 4.76 0 0 -0.0164598739496 0.0974556722689 0 0 0 0 0 0 0 0 0 {14 WARN: } 0 {14 FAIL: }
IMAGERQA LED 1 5 4698 27 1130.802133 0 0.856688 0 0 0 0 0 1121.885069 0 0.84939 0 0 0 0 0 5.018924 0.057851 4.8157 0.039113 164.590973 1.3749 170.413131 1.408299 0 0 0 0 0 0 4.96 4.49 0 0 0.0118798387097 0.0725389755011 0 0 0 0 0 0 0 0 0 {15 WARN: } 0 {15 FAIL: }
IMAGERQA LED 1 6 4698 27 1204.961558 0 1.055391 0 0 0 0 0 1200.348413 0 0.895501 0 0 0 0 0 4.870852 0.045988 4.942406 0.030029 159.383564 1.765584 161.78216 0.906171 0 0 0 0 0 0 4.95 4.84 0 0 -0.0159894949495 0.0211582644628 0 0 0 0 0 0 0 0 0 {16 WARN: } 0 {16 FAIL: }
IMAGERQA LED 2 1 4698 27 1192.123661 0 1.14475 0 0 0 0 0 1187.465377 0 4.809433 0 0 0 0 0 5.046075 0.034929 4.989653 0.064617 221.625078 0.814421 223.63661 0.486573 0 0 0 0 0 0 5.46 4.87 0 0 -0.0758104395604 0.0245694045175 0 0 0 0 0 0 0 0 0 {21 WARN: } 0 {21 FAIL: }
IMAGERQA LED 2 2 4698 27 1168.275794 0 3.688319 0 0 0 0 0 1165.933532 0 0.949962 0 0 0 0 0 4.431557 0.08813 6.215853 0.048029 255.142038 2.347871 188.169172 0.474429 0 0 0 0 0 0 4.39 6 0 0 0.00946628701595 0.0359755 0 0 0 0 0 0 0 0 0 {22 WARN: } 0 {22 FAIL: }
IMAGERQA LED 2 3 4698 27 1153.857788 0 2.835532 0 0 0 0 0 1148.407044 0 1.032887 0 0 0 0 0 5.010781 0.039494 4.724094 0.059844 226.809348 2.589076 244.253094 0.663125 0 0 0 0 0 0 5.09 4.63 0 0 -0.015563654224 0.0203226781857 0 0 0 0 0 0 0 0 0 {23 WARN: } 0 {23 FAIL: }
IMAGERQA LED 2 4 4698 27 1016.076988 0 3.105488 0 0 0 0 0 1009.108333 0 1.883768 0 0 0 0 0 4.829726 0.058683 4.654325 0.053983 235.129787 1.250839 242.984449 0.322936 0 0 0 0 0 0 4.9 4.87 0 0 -0.0143416326531 -0.0442864476386 0 0 0 0 0 0 0 0 0 {24 WARN: } 0 {24 FAIL: }
IMAGERQA LED 2 5 4698 27 1873.936508 0 2.797965 0 0 0 0 0 1873.862351 0 2.811638 0 0 0 0 0 4.931464 0.089875 4.973422 0.04004 226.304863 1.677253 221.176609 14.326611 0 0 0 0 0 0 4.64 4.64 0 0 0.0628155172414 0.0718581896552 0 0 0 0 0 0 0 0 0 {25 WARN: } 0 {25 FAIL: }
IMAGERQA LED 2 6 4698 27 1082.93998 0 3.253717 0 0 0 0 0 1084.082246 0 1.165454 0 0 0 0 0 4.894345 0.083688 5.307292 0.035708 234.562261 1.388673 216.264175 1.088688 0 0 0 0 0 0 4.37 5.15 0 0 0.119987414188 0.0305421359223 0 0 0 0 0 0 0 0 0 {26 WARN: } 0 {26 FAIL: }
IMAGERQA LED 3 1 4698 27 1129.071577 0 2.097709 0 0 0 0 0 1127.921875 0 3.281698 0 0 0 0 0 1.626357 0.014275 1.604992 0.013229 163.742767 2.963093 155.461743 7.531684 0 0 0 0 0 0 1.63 1.61 0 0 -0.00223496932515 -0.00311055900621 0 0 0 0 0 0 0 0 0 {31 WARN: } 0 {31 FAIL: }
IMAGERQA LED 3 2 4698 27 1764.232143 0 3.82155 0 0 0 0 0 1221.407937 0 1.92043 0 0 0 0 0 1.827938 0.019526 1.773176 0.016448 118.531116 3.882296 124.981214 2.300481 0 0 0 0 0 0 1.85 1.8 0 0 -0.0119254054054 -0.0149022222222 0 0 0 0 0 0 0 0 0 {32 WARN: } 0 {32 FAIL: }
IMAGERQA LED 3 3 4698 27 1211.367312 0 2.645311 0 0 0 0 0 1205.126308 0 2.500031 0 0 0 0 0 1.509546 0.015889 1.542816 0.009658 141.284303 7.93678 142.788016 6.430444 0 0 0 0 0 0 1.53 1.65 0 0 -0.013368627451 -0.06496 0 0 0 0 0 0 0 0 0 {33 WARN: } 0 {33 FAIL: }
IMAGERQA LED 3 4 4698 27 1231.439236 0 3.180948 0 0 0 0 0 1242.989931 0 3.349714 0 0 0 0 0 1.593115 0.02381 1.609876 0.016914 128.734366 7.708083 127.137781 9.896581 0 0 0 0 0 0 1.6 1.6 0 0 -0.004303125 0.0061725 0 0 0 0 0 0 0 0 0 {34 WARN: } 0 {34 FAIL: }
IMAGERQA LED 3 5 4698 27 1143.693403 0 2.23518 0 0 0 0 0 1121.238591 0 5.856359 0 0 0 0 0 1.38792 0.032742 1.452588 0.020419 154.100586 0.73518 150.239524 2.480383 0 0 0 0 0 0 1.49 1.45 0 0 -0.0685100671141 0.00178482758621 0 0 0 0 0 0 0 0 0 {35 WARN: } 0 {35 FAIL: }
IMAGERQA LED 3 6 4698 27 1288.82495 0 2.474946 0 0 0 0 0 1288.41133 0 2.545028 0 0 0 0 0 2.192665 0.037409 2.200526 0.022512 99.62227 5.077189 97.122817 9.480599 0 0 0 0 0 0 2.17 2.17 0 0 0.0104447004608 0.014067281106 0 0 0 0 0 0 0 0 0 {36 WARN: } 0 {36 FAIL: }
IMAGERQA LED 4 1 4698 27 1155.499157 0 0.810582 0 0 0 0 0 1165.323909 0 0.835737 0 0 0 0 0 4.717499 0.048729 4.894706 0.050242 72.542883 0.19818 70.130992 0.356546 0 0 0 0 0 0 4.68 4.81 0 0 0.00801260683761 0.0176103950104 0 0 0 0 0 0 0 0 0 {41 WARN: } 0 {41 FAIL: }
IMAGERQA LED 4 2 4698 27 1055.080853 0 0.929035 0 0 0 0 0 1053.019841 0 0.920879 0 0 0 0 0 4.747555 0.03797 4.553296 0.04614 71.787566 0.289949 73.432108 0.588763 0 0 0 0 0 0 5.68 4.63 0 0 -0.164162852113 -0.0165667386609 0 0 0 0 0 0 0 0 1 {42 WARN: leftGain } 0 {42 FAIL: }
IMAGERQA LED 4 3 4698 27 1024.456647 0 1.022663 0 0 0 0 0 1023.794444 0 1.011692 0 0 0 0 0 4.396965 0.055496 4.697839 0.058883 66.302208 0.299197 60.196329 0.344862 0 0 0 0 0 0 4.66 5.11 0 0 -0.05644527897 -0.0806577299413 0 0 0 0 0 0 0 0 0 {43 WARN: } 0 {43 FAIL: }
IMAGERQA LED 4 4 4698 27 1019.41746 0 3.223693 0 0 0 0 0 1019.114583 0 3.960816 0 0 0 0 0 4.714282 0.05196 4.321943 0.09068 61.271185 0.369884 62.548532 0.1729 0 0 0 0 0 0 4.74 4.81 0 0 -0.00542573839662 -0.101467151767 0 0 0 0 0 0 0 0 0 {44 WARN: } 0 {44 FAIL: }
IMAGERQA LED 4 5 4698 27 1059.063542 0 1.47616 0 0 0 0 0 1059.581746 0 1.197743 0 0 0 0 0 3.388636 0.030375 3.523254 0.017814 104.676406 0.85541 96.212456 0.343075 0 0 0 0 0 0 3.41 3.55 0 0 -0.0062651026393 -0.00753408450704 0 0 0 0 0 0 0 0 0 {45 WARN: } 0 {45 FAIL: }
IMAGERQA LED 4 6 4698 27 1042.32834 0 1.052935 0 0 0 0 0 1047.592411 0 1.158814 0 0 0 0 0 4.778179 0.050788 4.437254 0.040514 66.716907 0.333405 69.174665 0.274071 0 0 0 0 0 0 4.96 4.42 0 0 -0.0366574596774 0.0039036199095 0 0 0 0 0 0 0 0 0 {46 WARN: } 0 {46 FAIL: }
IMAGERQA LED 5 1 4698 27 1581.334375 0 4.044807 0 0 0 0 0 1601.090129 0 4.295769 0 0 0 0 0 3.108895 0.032356 3.446869 0.058502 138.476863 0.902645 135.584693 7.59316 0 0 0 0 0 0 3.32 3.32 0 0 -0.0635858433735 0.0382135542169 0 0 0 0 0 0 0 0 0 {51 WARN: } 0 {51 FAIL: }
IMAGERQA LED 5 2 4698 27 1106.982639 0 1.026869 0 0 0 0 0 1097.515179 0 1.11833 0 0 0 0 0 4.066792 0.04878 3.628149 0.034519 112.921888 0.80021 125.558546 1.461271 0 0 0 0 0 0 4.2 3.51 0 0 -0.0317161904762 0.0336606837607 0 0 0 0 0 0 0 0 0 {52 WARN: } 0 {52 FAIL: }
IMAGERQA LED 5 3 4698 27 1123.810764 0 1.235332 0 0 0 0 0 1115.974306 0 0.899865 0 0 0 0 0 3.849614 0.051142 4.167157 0.030858 117.634478 1.842033 113.104847 2.059475 0 0 0 0 0 0 3.79 3.9 0 0 0.0157292875989 0.0685017948718 0 0 0 0 0 0 0 0 0 {53 WARN: } 0 {53 FAIL: }
IMAGERQA LED 5 4 4698 27 1200.000546 0 1.443565 0 0 0 0 0 1185.390625 0 1.109993 0 0 0 0 0 3.82222 0.045342 3.997113 0.044808 117.981261 2.324928 113.612312 1.476511 0 0 0 0 0 0 3.85 4.14 0 0 -0.00721558441558 -0.0345137681159 0 0 0 0 0 0 0 0 0 {54 WARN: } 0 {54 FAIL: }
IMAGERQA LED 5 5 4698 27 1193.100149 0 0.929798 0 0 0 0 0 1184.791865 0 1.047547 0 0 0 0 0 4.178231 0.066139 3.999517 0.024365 102.925227 0.642073 108.366917 0.558819 0 0 0 0 0 0 4.2 3.9 0 0 -0.0051830952381 0.0255171794872 0 0 0 0 0 0 0 0 0 {55 WARN: } 0 {55 FAIL: }
IMAGERQA LED 5 6 4698 27 1069.970337 0 1.090413 0 0 0 0 0 1068.019147 0 1.096816 0 0 0 0 0 3.887952 0.022444 3.943618 0.023604 113.054679 1.007575 111.645136 0.468769 0 0 0 0 0 0 3.99 4.08 0 0 -0.0255759398496 -0.0334269607843 0 0 0 0 0 0 0 0 0 {56 WARN: } 0 {56 FAIL: }