| 1 | /* ======================================================================== *\ | 
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| 2 | ! $Name: not supported by cvs2svn $:$Id: MCalibrationChargeCam.cc,v 1.73 2009-03-02 14:32:49 tbretz Exp $ | 
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| 3 | ! -------------------------------------------------------------------------- | 
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| 4 | ! | 
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| 5 | ! * | 
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| 6 | ! * This file is part of MARS, the MAGIC Analysis and Reconstruction | 
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| 7 | ! * Software. It is distributed to you in the hope that it can be a useful | 
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| 8 | ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes. | 
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| 9 | ! * It is distributed WITHOUT ANY WARRANTY. | 
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| 10 | ! * | 
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| 11 | ! * Permission to use, copy, modify and distribute this software and its | 
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| 12 | ! * documentation for any purpose is hereby granted without fee, | 
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| 13 | ! * provided that the above copyright notice appear in all copies and | 
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| 14 | ! * that both that copyright notice and this permission notice appear | 
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| 15 | ! * in supporting documentation. It is provided "as is" without express | 
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| 16 | ! * or implied warranty. | 
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| 17 | ! * | 
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| 18 | ! | 
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| 19 | ! | 
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| 20 | !   Author(s): Markus Gaug   11/2003 <mailto:markus@ifae.es> | 
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| 21 | ! | 
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| 22 | !   Copyright: MAGIC Software Development, 2000-2008 | 
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| 23 | ! | 
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| 24 | ! | 
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| 25 | \* ======================================================================== */ | 
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| 26 | ///////////////////////////////////////////////////////////////////////////// | 
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| 27 | // | 
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| 28 | // MCalibrationChargeCam | 
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| 29 | // | 
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| 30 | // Storage container for charge calibration results from the signal distribution | 
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| 31 | // fits (see MHCalibrationChargeCam and MHCalibrationChargePix), the calculation | 
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| 32 | // of reduced sigmas and number of photo-electrons (this class) and conversion | 
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| 33 | // factors sum FADC slices to photo-electrons (see MCalibrationChargeCalc) | 
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| 34 | // | 
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| 35 | // Individual pixels have to be cast when retrieved e.g.: | 
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| 36 | // MCalibrationChargePix &avpix = (MCalibrationChargePix&)(*fChargeCam)[i] | 
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| 37 | // | 
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| 38 | // Averaged values over one whole area index (e.g. inner or outer pixels for | 
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| 39 | // the MAGIC camera), can be retrieved via: | 
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| 40 | // MCalibrationChargePix &avpix = (MCalibrationChargePix&)fChargeCam->GetAverageArea(i) | 
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| 41 | // | 
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| 42 | // Averaged values over one whole camera sector can be retrieved via: | 
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| 43 | // MCalibrationChargePix &avpix = (MCalibrationChargePix&)fChargeCam->GetAverageSector(i) | 
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| 44 | // | 
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| 45 | // Note the averageing has been done on an event-by-event basis. Resulting | 
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| 46 | // Sigma's of the Gauss fit have been multiplied with the square root of the number | 
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| 47 | // of involved pixels in order to make a direct comparison possible with the mean of | 
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| 48 | // sigmas. | 
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| 49 | // | 
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| 50 | // Final numbers of uncalibrated or unreliable pixels can be retrieved via the commands: | 
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| 51 | // GetNumUncalibrated(aidx) and GetNumUnreliable(aidx) where aidx is the area index (0 for | 
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| 52 | // inner and 1 for outer pixels in the MAGIC camera). | 
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| 53 | // | 
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| 54 | // The following "calibration" constants are used for the calibration of each pixel | 
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| 55 | // (see MCalibrate): | 
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| 56 | // | 
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| 57 | // - MCalibrationQEPix::GetMeanConvFADC2Phe(): The mean conversion factor from the | 
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| 58 | //   summed FADC slices to the number of photo-electrons (in first order independent | 
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| 59 | //   on colour and intensity) | 
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| 60 | // - MCalibrationQEPix::GetMeanFFactorFADC2Phot(): The mean F-Factor of the total | 
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| 61 | //   readout chain dividing the signal to noise of the incoming number of photons | 
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| 62 | //   (= sqrt(number photons)) by the signal to noise of the outgoing summed FADC slices | 
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| 63 | //   signal (= MCalibrationPix::GetMean() / MCalibrationChargePix::GetRSigma() ) | 
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| 64 | // | 
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| 65 | // The following calibration constants can be retrieved directly from this class: | 
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| 66 | // | 
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| 67 | // - GetConversionFactorFFactor    ( Int_t idx, Float_t &mean, Float_t &err, Float_t &sigma ); | 
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| 68 | // | 
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| 69 | // where: | 
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| 70 | // - idx is the pixel software ID | 
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| 71 | // - "mean" is the mean conversion constant, to be multiplied with the retrieved signal | 
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| 72 | //   in order to get a calibrated number of PHOTONS. | 
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| 73 | // - "err" is the pure statistical uncertainty about the MEAN | 
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| 74 | // - "sigma", if mulitplied with the square root of signal, gives the approximate sigma of the | 
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| 75 | //   retrieved mean number of incident Cherenkov photons. | 
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| 76 | // | 
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| 77 | // Note, Conversion is ALWAYS (included the F-Factor method!) from summed FADC slices to PHOTONS. | 
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| 78 | // | 
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| 79 | // See also: MCalibrationChargePix, MCalibrationChargeCalc, MCalibrationQECam | 
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| 80 | //           MHCalibrationChargePix, MHCalibrationChargeCam | 
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| 81 | //           MCalibrationBlindPix, MCalibrationChargePINDiode | 
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| 82 | // | 
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| 83 | ///////////////////////////////////////////////////////////////////////////// | 
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| 84 | #include "MCalibrationChargeCam.h" | 
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| 85 | #include "MCalibrationChargePix.h" | 
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| 86 |  | 
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| 87 | #include <TMath.h> | 
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| 88 |  | 
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| 89 | #include <TH1.h> | 
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| 90 | #include <TF1.h> | 
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| 91 | #include <TOrdCollection.h> | 
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| 92 |  | 
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| 93 | #include "MLog.h" | 
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| 94 | #include "MLogManip.h" | 
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| 95 |  | 
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| 96 | #include "MGeomCam.h" | 
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| 97 | #include "MGeom.h" | 
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| 98 |  | 
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| 99 | #include "MBadPixelsCam.h" | 
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| 100 | #include "MBadPixelsPix.h" | 
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| 101 |  | 
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| 102 | #include "MCalibrationQECam.h" | 
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| 103 | #include "MCalibrationQEPix.h" | 
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| 104 |  | 
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| 105 | #include "MHCamera.h" | 
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| 106 |  | 
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| 107 | ClassImp(MCalibrationChargeCam); | 
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| 108 |  | 
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| 109 | using namespace std; | 
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| 110 | // -------------------------------------------------------------------------- | 
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| 111 | // | 
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| 112 | // Default constructor. | 
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| 113 | // | 
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| 114 | // Calls: | 
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| 115 | // - Clear() | 
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| 116 | // | 
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| 117 | MCalibrationChargeCam::MCalibrationChargeCam(const char *name, const char *title) | 
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| 118 | { | 
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| 119 | fName  = name  ? name  : "MCalibrationChargeCam"; | 
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| 120 | fTitle = title ? title : "Storage container for the Calibration Information in the camera"; | 
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| 121 |  | 
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| 122 | Clear(); | 
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| 123 | } | 
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| 124 |  | 
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| 125 | /* | 
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| 126 | // -------------------------------------------------------------------------- | 
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| 127 | // | 
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| 128 | // Creates new MCalibrationCam only for the averaged areas: | 
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| 129 | // the rest has to be retrieved directly, e.g. via: | 
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| 130 | // | 
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| 131 | TObject *MCalibrationChargeCam::Clone(const char *) const | 
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| 132 | { | 
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| 133 |  | 
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| 134 | // | 
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| 135 | // FIXME, this might be done faster and more elegant, by direct copy. | 
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| 136 | // | 
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| 137 | MCalibrationChargeCam *cam = new MCalibrationChargeCam(fName,fTitle); | 
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| 138 |  | 
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| 139 | cam->fNumUnsuitable        = fNumUnsuitable; | 
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| 140 | cam->fNumUnreliable        = fNumUnreliable; | 
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| 141 | cam->fNumHiGainFADCSlices  = fNumHiGainFADCSlices; | 
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| 142 | cam->fNumLoGainFADCSlices  = fNumLoGainFADCSlices; | 
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| 143 | cam->fPulserColor          = fPulserColor; | 
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| 144 |  | 
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| 145 | cam->fFlags                = fFlags; | 
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| 146 |  | 
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| 147 | cam->fNumPhotonsBlindPixelMethod      = fNumPhotonsBlindPixelMethod; | 
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| 148 | cam->fNumPhotonsFFactorMethod         = fNumPhotonsFFactorMethod; | 
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| 149 | cam->fNumPhotonsPINDiodeMethod        = fNumPhotonsPINDiodeMethod; | 
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| 150 | cam->fNumPhotonsBlindPixelMethodErr   = fNumPhotonsBlindPixelMethodErr; | 
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| 151 | cam->fNumPhotonsFFactorMethodErr      = fNumPhotonsFFactorMethodErr; | 
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| 152 | cam->fNumPhotonsPINDiodeMethodErr     = fNumPhotonsPINDiodeMethodErr; | 
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| 153 |  | 
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| 154 | for (Int_t i=0; i<GetSize(); i++) | 
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| 155 | cam->fPixels->AddAt((*this)[i].Clone(),i); | 
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| 156 |  | 
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| 157 | for (Int_t i=0; i<GetAverageAreas(); i++) | 
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| 158 | { | 
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| 159 | cam->fAverageAreas->AddAt(GetAverageArea(i).Clone(),i); | 
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| 160 | cam->fAverageBadAreas->AddAt(GetAverageBadArea(i).Clone(),i); | 
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| 161 | } | 
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| 162 | for (Int_t i=0; i<GetAverageSectors(); i++) | 
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| 163 | { | 
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| 164 | cam->fAverageSectors->AddAt(GetAverageSector(i).Clone(),i); | 
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| 165 | cam->fAverageBadSectors->AddAt(GetAverageBadSector(i).Clone(),i); | 
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| 166 | } | 
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| 167 |  | 
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| 168 | return cam; | 
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| 169 | } | 
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| 170 | */ | 
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| 171 |  | 
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| 172 | // ------------------------------------------------------------------- | 
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| 173 | // | 
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| 174 | // Add MCalibrationChargePix's in the ranges from - to to fPixels | 
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| 175 | // | 
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| 176 | void MCalibrationChargeCam::Add(const UInt_t a, const UInt_t b) | 
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| 177 | { | 
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| 178 | for (UInt_t i=a; i<b; i++) | 
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| 179 | { | 
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| 180 | fPixels->AddAt(new MCalibrationChargePix,i); | 
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| 181 | (*this)[i].SetPixId(i); | 
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| 182 | } | 
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| 183 | } | 
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| 184 |  | 
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| 185 | // ------------------------------------------------------------------- | 
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| 186 | // | 
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| 187 | // Add MCalibrationChargePix's in the ranges from - to to fAverageAreas | 
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| 188 | // | 
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| 189 | void MCalibrationChargeCam::AddArea(const UInt_t a, const UInt_t b) | 
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| 190 | { | 
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| 191 | for (UInt_t i=a; i<b; i++) | 
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| 192 | { | 
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| 193 | fAverageAreas->AddAt(new MCalibrationChargePix,i); | 
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| 194 | GetAverageArea(i).SetPixId(i); | 
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| 195 | } | 
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| 196 | } | 
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| 197 |  | 
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| 198 | // ------------------------------------------------------------------- | 
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| 199 | // | 
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| 200 | // Add MCalibrationChargePix's in the ranges from - to to fAverageSectors | 
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| 201 | // | 
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| 202 | void MCalibrationChargeCam::AddSector(const UInt_t a, const UInt_t b) | 
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| 203 | { | 
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| 204 | for (UInt_t i=a; i<b; i++) | 
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| 205 | { | 
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| 206 | fAverageSectors->AddAt(new MCalibrationChargePix,i); | 
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| 207 | GetAverageSector(i).SetPixId(i); | 
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| 208 | } | 
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| 209 | } | 
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| 210 |  | 
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| 211 |  | 
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| 212 | // -------------------------------------- | 
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| 213 | // | 
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| 214 | // Sets all variable to 0. | 
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| 215 | // Sets all flags to kFALSE | 
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| 216 | // Calls MCalibrationCam::Clear() | 
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| 217 | // | 
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| 218 | void MCalibrationChargeCam::Clear(Option_t *o) | 
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| 219 | { | 
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| 220 | // DO NOT RESET THE HI-/LO-GAIN CONSTANTS | 
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| 221 | SetFFactorMethodValid    ( kFALSE ); | 
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| 222 |  | 
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| 223 | fNumPhotonsBlindPixelMethod    = 0.; | 
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| 224 | fNumPhotonsFFactorMethod       = 0.; | 
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| 225 | fNumPhotonsPINDiodeMethod      = 0.; | 
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| 226 | fNumPhotonsBlindPixelMethodErr = 0.; | 
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| 227 | fNumPhotonsFFactorMethodErr    = 0.; | 
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| 228 | fNumPhotonsPINDiodeMethodErr   = 0.; | 
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| 229 |  | 
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| 230 | MCalibrationCam::Clear(); | 
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| 231 | } | 
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| 232 |  | 
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| 233 | // ----------------------------------------------- | 
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| 234 | // | 
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| 235 | // Sets the kFFactorMethodValid bit from outside | 
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| 236 | // | 
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| 237 | void MCalibrationChargeCam::SetFFactorMethodValid(const Bool_t b) | 
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| 238 | { | 
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| 239 | b ? SETBIT(fFlags, kFFactorMethodValid) : CLRBIT(fFlags, kFFactorMethodValid); | 
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| 240 | } | 
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| 241 |  | 
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| 242 |  | 
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| 243 | // -------------------------------------------------------------------------- | 
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| 244 | // | 
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| 245 | // Test bit kFFactorMethodValid | 
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| 246 | // | 
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| 247 | Bool_t  MCalibrationChargeCam::IsFFactorMethodValid()   const | 
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| 248 | { | 
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| 249 | return TESTBIT(fFlags,kFFactorMethodValid); | 
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| 250 | } | 
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| 251 |  | 
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| 252 | // -------------------------------------------------------------------------- | 
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| 253 | // | 
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| 254 | // Copy High-gain vs. low-gain conversion factors from cam to this. | 
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| 255 | // | 
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| 256 | Bool_t MCalibrationChargeCam::MergeHiLoConversionFactors(const MCalibrationChargeCam &cam) const | 
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| 257 | { | 
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| 258 |  | 
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| 259 | if (GetSize() != cam.GetSize()) | 
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| 260 | { | 
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| 261 | *fLog << warn << "Sizes mismatch! Cannot merge high-gain vs. low-gain convertion factors" << endl; | 
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| 262 | return kFALSE; | 
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| 263 | } | 
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| 264 |  | 
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| 265 | for (Int_t i=0; i<GetSize(); i++) | 
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| 266 | { | 
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| 267 | ((MCalibrationChargePix&)(*this)[i]).SetConversionHiLo   (((MCalibrationChargePix&)cam[i]).GetConversionHiLo()); | 
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| 268 | ((MCalibrationChargePix&)(*this)[i]).SetConversionHiLoErr(((MCalibrationChargePix&)cam[i]).GetConversionHiLoErr()); | 
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| 269 | } | 
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| 270 |  | 
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| 271 | return kTRUE; | 
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| 272 | } | 
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| 273 |  | 
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| 274 | // -------------------------------------------------------------------------- | 
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| 275 | // | 
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| 276 | // Print first the well fitted pixels | 
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| 277 | // and then the ones which are not FitValid | 
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| 278 | // | 
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| 279 | void MCalibrationChargeCam::Print(Option_t *o) const | 
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| 280 | { | 
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| 281 |  | 
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| 282 | *fLog << all << GetDescriptor() << ":" << endl; | 
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| 283 | int id = 0; | 
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| 284 |  | 
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| 285 | *fLog << all << "Calibrated pixels:" << endl; | 
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| 286 | *fLog << all << endl; | 
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| 287 |  | 
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| 288 | TIter Next(fPixels); | 
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| 289 | MCalibrationChargePix *pix; | 
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| 290 | while ((pix=(MCalibrationChargePix*)Next())) | 
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| 291 | { | 
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| 292 |  | 
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| 293 | if (pix->IsFFactorMethodValid()) | 
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| 294 | { | 
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| 295 |  | 
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| 296 | *fLog << all | 
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| 297 | << Form("%s%3i","Pixel: ",pix->GetPixId()) | 
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| 298 | << Form("%s%4.2f%s%4.2f","  Ped.Rms: ",pix->GetPedRms(),"+-",pix->GetPedRmsErr()) | 
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| 299 | << Form("%s%4.2f%s%4.2f","  Charge: " ,pix->GetConvertedMean(),"+-",pix->GetConvertedSigma()) | 
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| 300 | << Form("%s%4.2f%s%4.2f","  Red.Sigma: ",pix->GetConvertedRSigma(),"+-",pix->GetConvertedRSigmaErr()) | 
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| 301 | << Form("%s%4.2f%s%4.2f","  Num.Phes: ",pix->GetPheFFactorMethod(),"+-",pix->GetPheFFactorMethodErr()) | 
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| 302 | << Form("%s%4.2f%s%4.2f","  Conv.FADC2Phe: ",pix->GetMeanConvFADC2Phe(),"+-",pix->GetMeanConvFADC2PheErr()) | 
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| 303 | << " Saturated? :" << pix->IsHiGainSaturation() | 
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| 304 | << Form("%s%4.2f%s%4.2f","  Conv.HiLo: ",pix->GetConversionHiLo(),"+-",pix->GetConversionHiLoErr()) | 
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| 305 | << endl; | 
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| 306 | id++; | 
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| 307 | } | 
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| 308 | } | 
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| 309 |  | 
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| 310 | *fLog << all << id << " pixels" << endl; | 
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| 311 | id = 0; | 
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| 312 |  | 
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| 313 |  | 
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| 314 | *fLog << all << endl; | 
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| 315 | *fLog << all << "Previously Excluded pixels:" << endl; | 
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| 316 | *fLog << all << endl; | 
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| 317 |  | 
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| 318 | id = 0; | 
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| 319 |  | 
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| 320 | TIter Next4(fPixels); | 
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| 321 | while ((pix=(MCalibrationChargePix*)Next4())) | 
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| 322 | { | 
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| 323 | if (pix->IsExcluded()) | 
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| 324 | { | 
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| 325 | *fLog << all << pix->GetPixId() << " "; | 
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| 326 | id++; | 
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| 327 |  | 
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| 328 | if (!(id % 25)) | 
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| 329 | *fLog << endl; | 
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| 330 | } | 
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| 331 | } | 
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| 332 |  | 
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| 333 | *fLog << all << endl; | 
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| 334 | *fLog << all << "New Excluded pixels:" << endl; | 
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| 335 | *fLog << all << endl; | 
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| 336 |  | 
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| 337 | TIter Next5(fPixels); | 
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| 338 | while ((pix=(MCalibrationChargePix*)Next5())) | 
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| 339 | { | 
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| 340 | if (!pix->IsFFactorMethodValid() && !pix->IsExcluded()) | 
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| 341 | { | 
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| 342 | *fLog << all << pix->GetPixId() << " "; | 
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| 343 | id++; | 
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| 344 |  | 
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| 345 | if (!(id % 25)) | 
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| 346 | *fLog << endl; | 
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| 347 | } | 
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| 348 | } | 
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| 349 |  | 
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| 350 | *fLog << endl; | 
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| 351 | *fLog << all << id << " Excluded pixels " << endl; | 
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| 352 | *fLog << endl; | 
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| 353 |  | 
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| 354 | *fLog << all << endl; | 
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| 355 | *fLog << all << "Averaged Areas:" << endl; | 
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| 356 | *fLog << all << endl; | 
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| 357 |  | 
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| 358 | TIter Next6(fAverageAreas); | 
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| 359 | while ((pix=(MCalibrationChargePix*)Next6())) | 
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| 360 | { | 
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| 361 | *fLog << all << Form("%s%3i","Area Idx: ",pix->GetPixId()) | 
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| 362 | << "   Ped.  Rms: "            << pix->GetPedRms()        << " +- " << pix->GetPedRmsErr() | 
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| 363 | << "   Mean signal: "          << pix->GetMean()    << " +- " << pix->GetMeanErr() | 
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| 364 | << "   Sigma signal: "         << pix->GetSigma()    << " +- "<< pix->GetSigmaErr() | 
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| 365 | << "   Reduced Sigma: "        << pix->GetRSigma() | 
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| 366 | << "   Nr Phe's: "             << pix->GetPheFFactorMethod() | 
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| 367 | << endl; | 
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| 368 | } | 
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| 369 |  | 
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| 370 | *fLog << all << endl; | 
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| 371 | *fLog << all << "Averaged Sectors:" << endl; | 
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| 372 | *fLog << all << endl; | 
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| 373 |  | 
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| 374 | TIter Next7(fAverageSectors); | 
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| 375 | while ((pix=(MCalibrationChargePix*)Next7())) | 
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| 376 | { | 
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| 377 | *fLog << all << Form("%s%3i","Sector: ",pix->GetPixId()) | 
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| 378 | << "   Ped.  Rms: "            << pix->GetPedRms()        << " +- " << pix->GetPedRmsErr() | 
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| 379 | << "   Mean signal: "          << pix->GetMean()    << " +- " << pix->GetMeanErr() | 
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| 380 | << "   Sigma signal: "         << pix->GetSigma()    << " +- "<< pix->GetSigmaErr() | 
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| 381 | << "   Reduced Sigma: "        << pix->GetRSigma() | 
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| 382 | << "   Nr Phe's: "             << pix->GetPheFFactorMethod() | 
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| 383 | << endl; | 
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| 384 | } | 
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| 385 | *fLog << all << endl; | 
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| 386 | } | 
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| 387 |  | 
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| 388 |  | 
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| 389 | // -------------------------------------------------------------------------- | 
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| 390 | // | 
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| 391 | // The types are as follows: | 
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| 392 | // | 
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| 393 | // Fitted values: | 
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| 394 | // ============== | 
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| 395 | // | 
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| 396 | // 0: Fitted Charge                              (see MCalibrationPix::GetMean()) | 
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| 397 | // 1: Error of fitted Charge                     (see MCalibrationPix::GetMeanErr()) | 
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| 398 | // 2: Sigma of fitted Charge                     (see MCalibrationPix::GetSigma()) | 
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| 399 | // 3: Error of Sigma of fitted Charge            (see MCalibrationPix::GetSigmaErr()) | 
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| 400 | // | 
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| 401 | // Useful variables derived from the fit results: | 
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| 402 | // ============================================= | 
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| 403 | // | 
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| 404 | // 4: Probability Gauss fit Charge distribution  (see MCalibrationPix::GetProb()) | 
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| 405 | // 5: Reduced Sigma of fitted Charge             (see MCalibrationChargePix::GetRSigma()) | 
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| 406 | // 6: Error Reduced Sigma of fitted Charge       (see MCalibrationChargePix::GetRSigmaErr()) | 
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| 407 | // 7: Reduced Sigma per Charge                   (see MCalibrationChargePix::GetRSigmaPerCharge()) | 
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| 408 | // 8: Error of Reduced Sigma per Charge          (see MCalibrationChargePix::GetRSigmaPerChargeErr()) | 
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| 409 | // | 
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| 410 | // Results of the F-Factor calibration Method: | 
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| 411 | // =========================================== | 
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| 412 | // | 
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| 413 | //  9: Nr. Photo-electrons from F-Factor Method  (see MCalibrationChargePix::GetPheFFactorMethod()) | 
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| 414 | // 10: Error Nr. Photo-el. from F-Factor Method  (see MCalibrationChargePix::GetPheFFactorMethodErr()) | 
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| 415 | // 11: Conversion factor   from F-Factor Method  (see MCalibrationChargePix::GetMeanConvFADC2Phe() | 
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| 416 | // 12: Error conv. factor  from F-Factor Method  (see MCalibrationChargePix::GetMeanConvFADC2PheErr() | 
|---|
| 417 | // 13: Overall F-Factor    from F-Factor Method  (see MCalibrationChargePix::GetMeanFFactorFADC2Phot() | 
|---|
| 418 | // 14: Error F-Factor      from F-Factor Method  (see MCalibrationChargePix::GetMeanFFactorFADC2PhotErr() | 
|---|
| 419 | // 15: Pixels valid calibration F-Factor-Method  (see MCalibrationChargePix::IsFFactorMethodValid()) | 
|---|
| 420 | // | 
|---|
| 421 | // Results of the Low-Gain vs. High-Gain Conversion: | 
|---|
| 422 | // ================================================= | 
|---|
| 423 | // | 
|---|
| 424 | // 16: Mean Signal Hi-Gain / Mean Signal Lo-Gain (see MCalibrationPix::GetHiLoMeansDivided()) | 
|---|
| 425 | // 17: Error Signal High-Gain / Signal Low Gain  (see MCalibrationPix::GetHiLoMeansDividedErr()) | 
|---|
| 426 | // 18: Sigma High-Gain / Sigma Low Gain          (see MCalibrationPix::GetHiLoSigmasDivided()) | 
|---|
| 427 | // 19: Error Sigma High-Gain / Sigma Low Gain    (see MCalibrationPix::GetHiLoSigmasDividedErr()) | 
|---|
| 428 | // | 
|---|
| 429 | // Localized defects: | 
|---|
| 430 | // ================== | 
|---|
| 431 | // | 
|---|
| 432 | // 20: Excluded Pixels | 
|---|
| 433 | // 21: Number of pickup   events in the Hi Gain  (see MCalibrationPix::GetHiGainNumPickup()) | 
|---|
| 434 | // 22: Number of pickup   events in the Lo Gain  (see MCalibrationPix::GetLoGainNumPickup()) | 
|---|
| 435 | // 23: Number of blackout events in the Hi Gain  (see MCalibrationPix::GetHiGainNumBlackout()) | 
|---|
| 436 | // 24: Number of blackout events in the Lo Gain  (see MCalibrationPix::GetLoGainNumBlackout()) | 
|---|
| 437 | // | 
|---|
| 438 | // Other classifications of pixels: | 
|---|
| 439 | // ================================ | 
|---|
| 440 | // | 
|---|
| 441 | // 25: Pixels with saturated High-Gain           (see MCalibrationPix::IsHiGainSaturation()) | 
|---|
| 442 | // | 
|---|
| 443 | // Calculated absolute arrival times (very low precision!): | 
|---|
| 444 | // ======================================================== | 
|---|
| 445 | // | 
|---|
| 446 | // 26: Absolute Arrival time of the signal       (see MCalibrationChargePix::GetAbsTimeMean()) | 
|---|
| 447 | // 27: RMS Ab.  Arrival time of the signal       (see MCalibrationChargePix::GetAbsTimeRms()) | 
|---|
| 448 | // | 
|---|
| 449 | // Used Pedestals: | 
|---|
| 450 | // =============== | 
|---|
| 451 | // | 
|---|
| 452 | // 28: Pedestal for entire signal extr. range    (see MCalibrationChargePix::Ped()) | 
|---|
| 453 | // 29: Error Pedestal entire signal extr. range  (see MCalibrationChargePix::PedErr()) | 
|---|
| 454 | // 30: Ped. RMS entire signal extraction range   (see MCalibrationChargePix::PedRms()) | 
|---|
| 455 | // 31: Error Ped. RMS entire signal extr. range  (see MCalibrationChargePix::PedRmsErr()) | 
|---|
| 456 | // | 
|---|
| 457 | // Special variables (for data check): | 
|---|
| 458 | // ==================================== | 
|---|
| 459 | // | 
|---|
| 460 | // 32: HiGain RMS divided by Mean for every pixel (with inclusion of the excluded pixels) | 
|---|
| 461 | // | 
|---|
| 462 | Bool_t MCalibrationChargeCam::GetPixelContent(Double_t &val, Int_t idx, const MGeomCam &cam, Int_t type) const | 
|---|
| 463 | { | 
|---|
| 464 | if (idx > GetSize()) | 
|---|
| 465 | return kFALSE; | 
|---|
| 466 |  | 
|---|
| 467 | const Float_t area = cam[idx].GetA(); | 
|---|
| 468 | if (area == 0) | 
|---|
| 469 | return kFALSE; | 
|---|
| 470 |  | 
|---|
| 471 | const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[idx]; | 
|---|
| 472 | switch (type) | 
|---|
| 473 | { | 
|---|
| 474 | case 0: | 
|---|
| 475 | if (pix.IsExcluded() || pix.GetConvertedMeanErr()<0) | 
|---|
| 476 | return kFALSE; | 
|---|
| 477 | val = pix.GetConvertedMean(); | 
|---|
| 478 | return kTRUE; | 
|---|
| 479 | case 1: | 
|---|
| 480 | if (pix.IsExcluded() || pix.GetConvertedMeanErr()<0) | 
|---|
| 481 | return kFALSE; | 
|---|
| 482 | val = pix.GetConvertedMeanErr(); | 
|---|
| 483 | return kTRUE; | 
|---|
| 484 | case 2: | 
|---|
| 485 | if (pix.IsExcluded() || pix.GetConvertedSigmaErr()<0) | 
|---|
| 486 | return kFALSE; | 
|---|
| 487 | val = pix.GetConvertedSigma(); | 
|---|
| 488 | return kTRUE; | 
|---|
| 489 | case 3: | 
|---|
| 490 | if (pix.IsExcluded() || pix.GetConvertedSigmaErr()<0) | 
|---|
| 491 | return kFALSE; | 
|---|
| 492 | val = pix.GetConvertedSigmaErr(); | 
|---|
| 493 | return kTRUE; | 
|---|
| 494 | case 4: | 
|---|
| 495 | if (pix.IsExcluded()) | 
|---|
| 496 | return kFALSE; | 
|---|
| 497 | val = pix.GetProb(); | 
|---|
| 498 | return val>=0; | 
|---|
| 499 | case 5: | 
|---|
| 500 | if (!pix.IsFFactorMethodValid()) | 
|---|
| 501 | return kFALSE; | 
|---|
| 502 | if (pix.GetRSigma() == -1.) | 
|---|
| 503 | return kFALSE; | 
|---|
| 504 | val = pix.GetConvertedRSigma(); | 
|---|
| 505 | break; | 
|---|
| 506 | case 6: | 
|---|
| 507 | if (!pix.IsFFactorMethodValid()) | 
|---|
| 508 | return kFALSE; | 
|---|
| 509 | if (pix.GetRSigma() == -1.) | 
|---|
| 510 | return kFALSE; | 
|---|
| 511 | val = pix.GetConvertedRSigmaErr(); | 
|---|
| 512 | break; | 
|---|
| 513 | case 7: | 
|---|
| 514 | if (!pix.IsFFactorMethodValid()) | 
|---|
| 515 | return kFALSE; | 
|---|
| 516 | val = pix.GetRSigmaPerCharge(); | 
|---|
| 517 | break; | 
|---|
| 518 | case 8: | 
|---|
| 519 | if (!pix.IsFFactorMethodValid()) | 
|---|
| 520 | return kFALSE; | 
|---|
| 521 | val =  pix.GetRSigmaPerChargeErr(); | 
|---|
| 522 | break; | 
|---|
| 523 | case 9: | 
|---|
| 524 | //      if (!pix.IsFFactorMethodValid()) | 
|---|
| 525 | //        return kFALSE; | 
|---|
| 526 | if (pix.IsExcluded() || pix.GetPheFFactorMethodErr()<0) | 
|---|
| 527 | return kFALSE; | 
|---|
| 528 | val = pix.GetPheFFactorMethod(); | 
|---|
| 529 | return kTRUE; | 
|---|
| 530 | case 10: | 
|---|
| 531 | //      if (!pix.IsFFactorMethodValid()) | 
|---|
| 532 | //        return kFALSE; | 
|---|
| 533 | if (pix.IsExcluded() || pix.GetPheFFactorMethodErr()<=0) | 
|---|
| 534 | return kFALSE; | 
|---|
| 535 | val = pix.GetPheFFactorMethodErr(); | 
|---|
| 536 | return kTRUE; | 
|---|
| 537 | case 11: | 
|---|
| 538 | //      if (!pix.IsFFactorMethodValid()) | 
|---|
| 539 | //        return kFALSE; | 
|---|
| 540 | if (pix.IsExcluded() || pix.GetMeanConvFADC2PheErr()<0) | 
|---|
| 541 | return kFALSE; | 
|---|
| 542 | val = pix.GetMeanConvFADC2Phe(); | 
|---|
| 543 | return kTRUE; | 
|---|
| 544 | case 12: | 
|---|
| 545 | //      if (!pix.IsFFactorMethodValid()) | 
|---|
| 546 | //        return kFALSE; | 
|---|
| 547 | if (pix.IsExcluded() || pix.GetMeanConvFADC2PheErr()<=0) | 
|---|
| 548 | return kFALSE; | 
|---|
| 549 | val = pix.GetMeanConvFADC2PheErr(); | 
|---|
| 550 | return kTRUE; | 
|---|
| 551 | case 13: | 
|---|
| 552 | //      if (!pix.IsFFactorMethodValid()) | 
|---|
| 553 | //        return kFALSE; | 
|---|
| 554 | if (pix.IsExcluded()) | 
|---|
| 555 | return kFALSE; | 
|---|
| 556 | val = pix.GetMeanFFactorFADC2Phot(); | 
|---|
| 557 | break; | 
|---|
| 558 | case 14: | 
|---|
| 559 | //      if (!pix.IsFFactorMethodValid()) | 
|---|
| 560 | //        return kFALSE; | 
|---|
| 561 | if (pix.IsExcluded()) | 
|---|
| 562 | return kFALSE; | 
|---|
| 563 | val = pix.GetMeanFFactorFADC2PhotErr(); | 
|---|
| 564 | if (val <= 0.) | 
|---|
| 565 | val = 0.00001; | 
|---|
| 566 | break; | 
|---|
| 567 | case 15: | 
|---|
| 568 | if (pix.IsExcluded()) | 
|---|
| 569 | return kFALSE; | 
|---|
| 570 | if (!pix.IsFFactorMethodValid()) | 
|---|
| 571 | return kFALSE; | 
|---|
| 572 | val = 1; | 
|---|
| 573 | return kTRUE; | 
|---|
| 574 | case 16: | 
|---|
| 575 | if (pix.IsExcluded()) | 
|---|
| 576 | return kFALSE; | 
|---|
| 577 | val = pix.GetHiLoMeansDivided(); | 
|---|
| 578 | break; | 
|---|
| 579 | case 17: | 
|---|
| 580 | if (pix.IsExcluded()) | 
|---|
| 581 | return kFALSE; | 
|---|
| 582 | val = pix.GetHiLoMeansDividedErr(); | 
|---|
| 583 | break; | 
|---|
| 584 | case 18: | 
|---|
| 585 | if (pix.IsExcluded()) | 
|---|
| 586 | return kFALSE; | 
|---|
| 587 | val = pix.GetHiLoSigmasDivided(); | 
|---|
| 588 | break; | 
|---|
| 589 | case 19: | 
|---|
| 590 | if (pix.IsExcluded()) | 
|---|
| 591 | return kFALSE; | 
|---|
| 592 | val = pix.GetHiLoSigmasDividedErr(); | 
|---|
| 593 | break; | 
|---|
| 594 | case 20: | 
|---|
| 595 | if (!pix.IsExcluded()) | 
|---|
| 596 | return kFALSE; | 
|---|
| 597 | val = 1.; | 
|---|
| 598 | return kTRUE; | 
|---|
| 599 | case 21: | 
|---|
| 600 | if (pix.IsExcluded()) | 
|---|
| 601 | return kFALSE; | 
|---|
| 602 | val = pix.GetHiGainNumPickup(); | 
|---|
| 603 | break; | 
|---|
| 604 | case 22: | 
|---|
| 605 | if (pix.IsExcluded()) | 
|---|
| 606 | return kFALSE; | 
|---|
| 607 | val = pix.GetLoGainNumPickup(); | 
|---|
| 608 | break; | 
|---|
| 609 | case 23: | 
|---|
| 610 | if (pix.IsExcluded()) | 
|---|
| 611 | return kFALSE; | 
|---|
| 612 | val = pix.GetHiGainNumBlackout(); | 
|---|
| 613 | break; | 
|---|
| 614 | case 24: | 
|---|
| 615 | if (pix.IsExcluded()) | 
|---|
| 616 | return kFALSE; | 
|---|
| 617 | val = pix.GetLoGainNumBlackout(); | 
|---|
| 618 | break; | 
|---|
| 619 | case 25: | 
|---|
| 620 | if (pix.IsExcluded()) | 
|---|
| 621 | return kFALSE; | 
|---|
| 622 | val = pix.IsHiGainSaturation(); | 
|---|
| 623 | break; | 
|---|
| 624 | case 26: | 
|---|
| 625 | if (pix.IsExcluded()) | 
|---|
| 626 | return kFALSE; | 
|---|
| 627 | val = pix.GetAbsTimeMean(); | 
|---|
| 628 | break; | 
|---|
| 629 | case 27: | 
|---|
| 630 | if (pix.IsExcluded()) | 
|---|
| 631 | return kFALSE; | 
|---|
| 632 | val = pix.GetAbsTimeRms(); | 
|---|
| 633 | break; | 
|---|
| 634 | case 28: | 
|---|
| 635 | if (pix.IsExcluded()) | 
|---|
| 636 | return kFALSE; | 
|---|
| 637 | val = pix.GetPed(); | 
|---|
| 638 | break; | 
|---|
| 639 | case 29: | 
|---|
| 640 | if (pix.IsExcluded()) | 
|---|
| 641 | return kFALSE; | 
|---|
| 642 | val = pix.GetPedErr(); | 
|---|
| 643 | break; | 
|---|
| 644 | case 30: | 
|---|
| 645 | if (pix.IsExcluded()) | 
|---|
| 646 | return kFALSE; | 
|---|
| 647 | val = pix.GetPedRms(); | 
|---|
| 648 | break; | 
|---|
| 649 | case 31: | 
|---|
| 650 | if (pix.IsExcluded()) | 
|---|
| 651 | return kFALSE; | 
|---|
| 652 | val = pix.GetPedErr()/2.; | 
|---|
| 653 | break; | 
|---|
| 654 | case 32: | 
|---|
| 655 | if (pix.IsExcluded() || pix.GetRms()<0) | 
|---|
| 656 | return kFALSE; | 
|---|
| 657 | val = pix.GetMean() == 0. ? 0. : pix.GetRms()/pix.GetMean(); | 
|---|
| 658 | return kTRUE; | 
|---|
| 659 | case 33: | 
|---|
| 660 | if (pix.IsExcluded() || pix.GetRms()<0) | 
|---|
| 661 | return kFALSE; | 
|---|
| 662 | if (pix.GetMean() == 0.) | 
|---|
| 663 | val = 0.; | 
|---|
| 664 | else | 
|---|
| 665 | val = pix.GetSigmaErr()/pix.GetMean() + pix.GetRms()*pix.GetMeanErr()/pix.GetMean()/pix.GetMean(); | 
|---|
| 666 | return kTRUE; | 
|---|
| 667 | default: | 
|---|
| 668 | return kFALSE; | 
|---|
| 669 | } | 
|---|
| 670 |  | 
|---|
| 671 | return val!=-1.; | 
|---|
| 672 | } | 
|---|
| 673 |  | 
|---|
| 674 | Bool_t MCalibrationChargeCam::GetConversionFactorFFactor(Int_t ipx, Float_t &mean, Float_t &ferr, Float_t &ffactor) | 
|---|
| 675 | { | 
|---|
| 676 |  | 
|---|
| 677 | MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[ipx]; | 
|---|
| 678 |  | 
|---|
| 679 | Float_t conv = pix.GetMeanConvFADC2Phe(); | 
|---|
| 680 |  | 
|---|
| 681 | if (conv < 0.) | 
|---|
| 682 | return kFALSE; | 
|---|
| 683 |  | 
|---|
| 684 | mean    = conv; | 
|---|
| 685 | ferr    = pix.GetMeanConvFADC2PheErr(); | 
|---|
| 686 | ffactor = pix.GetMeanFFactorFADC2Phot(); | 
|---|
| 687 |  | 
|---|
| 688 | return kTRUE; | 
|---|
| 689 | } | 
|---|
| 690 |  | 
|---|
| 691 |  | 
|---|
| 692 | // -------------------------------------------------------------------------- | 
|---|
| 693 | // | 
|---|
| 694 | // Calculates the average conversion factor FADC counts to photons for pixel sizes. | 
|---|
| 695 | // The geometry container is used to get the necessary | 
|---|
| 696 | // geometry information (area index). The MCalibrationQECam container is necessary for | 
|---|
| 697 | // the quantum efficiency information. | 
|---|
| 698 | // If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored | 
|---|
| 699 | // in the calculation of the size average. | 
|---|
| 700 | // | 
|---|
| 701 | // Returns a TArrayF of dimension 2: | 
|---|
| 702 | // arr[0]: averaged conversion factors (default: -1.) | 
|---|
| 703 | // arr[1]: Error (rms) of averaged conversion factors (default: 0.) | 
|---|
| 704 | // | 
|---|
| 705 | TArrayF MCalibrationChargeCam::GetAveragedConvFADC2PhotPerArea  ( const MGeomCam &geom, const MCalibrationQECam &qecam, | 
|---|
| 706 | const UInt_t ai,  MBadPixelsCam *bad) | 
|---|
| 707 | { | 
|---|
| 708 |  | 
|---|
| 709 | const Int_t np = GetSize(); | 
|---|
| 710 |  | 
|---|
| 711 | Double_t mean  = 0.; | 
|---|
| 712 | Double_t mean2 = 0.; | 
|---|
| 713 | Int_t    nr    = 0; | 
|---|
| 714 |  | 
|---|
| 715 | MHCamera convcam(geom,"ConvFactors","Conversion Factors;Conv Factor [phot/FADC cnts];channels"); | 
|---|
| 716 |  | 
|---|
| 717 | for (int i=0; i<np; i++) | 
|---|
| 718 | { | 
|---|
| 719 | if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun)) | 
|---|
| 720 | continue; | 
|---|
| 721 |  | 
|---|
| 722 | if (bad && (*bad)[i].IsUncalibrated(MBadPixelsPix::kDeviatingNumPhes)) | 
|---|
| 723 | continue; | 
|---|
| 724 |  | 
|---|
| 725 | const UInt_t aidx = geom[i].GetAidx(); | 
|---|
| 726 |  | 
|---|
| 727 | if (ai != aidx) | 
|---|
| 728 | continue; | 
|---|
| 729 |  | 
|---|
| 730 | const MCalibrationQEPix &qepix = (MCalibrationQEPix&)qecam[i]; | 
|---|
| 731 | if (!qepix.IsAverageQEFFactorAvailable()) | 
|---|
| 732 | continue; | 
|---|
| 733 |  | 
|---|
| 734 | const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i]; | 
|---|
| 735 | const Float_t conv = pix.GetMeanConvFADC2Phe()/qepix.GetQECascadesFFactor(); | 
|---|
| 736 |  | 
|---|
| 737 | mean  += conv; | 
|---|
| 738 | mean2 += conv*conv; | 
|---|
| 739 | nr    ++; | 
|---|
| 740 |  | 
|---|
| 741 | convcam.Fill(i,conv); | 
|---|
| 742 | convcam.SetUsed(i); | 
|---|
| 743 | } | 
|---|
| 744 |  | 
|---|
| 745 | Float_t mn  = nr   ? mean/nr : -1.; | 
|---|
| 746 | Float_t sg  = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0.; | 
|---|
| 747 |  | 
|---|
| 748 | const Int_t aidx = (Int_t)ai; | 
|---|
| 749 |  | 
|---|
| 750 | TH1D *h = convcam.ProjectionS(TArrayI(),TArrayI(1,&aidx),"_py",750); | 
|---|
| 751 | h->SetDirectory(NULL); | 
|---|
| 752 |  | 
|---|
| 753 | TF1 *fit = NULL; | 
|---|
| 754 |  | 
|---|
| 755 | if (geom.InheritsFrom("MGeomCamMagic")) | 
|---|
| 756 | { | 
|---|
| 757 |  | 
|---|
| 758 | fit = new TF1("fit","gaus",0.4,5.); | 
|---|
| 759 |  | 
|---|
| 760 | // Fix the ranges, as found by Nadia | 
|---|
| 761 | if(aidx == 0) | 
|---|
| 762 | h->Fit(fit, "REQ0", "",0.4,1.5); | 
|---|
| 763 | else | 
|---|
| 764 | h->Fit(fit ,"REQ0", "",1.,5.); | 
|---|
| 765 | } | 
|---|
| 766 | else | 
|---|
| 767 | { | 
|---|
| 768 | h->Fit("gaus","Q0"); | 
|---|
| 769 | fit = h->GetFunction("gaus"); | 
|---|
| 770 | } | 
|---|
| 771 |  | 
|---|
| 772 | Float_t ci2   = fit->GetChisquare(); | 
|---|
| 773 | Float_t sigma = fit->GetParameter(2); | 
|---|
| 774 |  | 
|---|
| 775 | if (ci2 > 500. || sigma > sg) | 
|---|
| 776 | { | 
|---|
| 777 | if (geom.InheritsFrom("MGeomCamMagic")) | 
|---|
| 778 | { | 
|---|
| 779 | // Fix the ranges, as found by Nadia | 
|---|
| 780 | if(aidx == 0) | 
|---|
| 781 | h->Fit(fit, "REQ0", "",0.4,1.5); | 
|---|
| 782 | else | 
|---|
| 783 | h->Fit(fit, "REQ0", "",1.,5.); | 
|---|
| 784 | } | 
|---|
| 785 | else | 
|---|
| 786 | { | 
|---|
| 787 | h->Fit("gaus","MREQ0"); | 
|---|
| 788 | fit = h->GetFunction("gaus"); | 
|---|
| 789 | } | 
|---|
| 790 |  | 
|---|
| 791 | ci2   = fit->GetChisquare(); | 
|---|
| 792 | sigma = fit->GetParameter(2); | 
|---|
| 793 | } | 
|---|
| 794 |  | 
|---|
| 795 | const Int_t ndf = fit->GetNDF(); | 
|---|
| 796 |  | 
|---|
| 797 | if (ci2 < 500. && sigma < sg && ndf > 2) | 
|---|
| 798 | { | 
|---|
| 799 | mn  = fit->GetParameter(1); | 
|---|
| 800 | sg  = sigma; | 
|---|
| 801 | } | 
|---|
| 802 |  | 
|---|
| 803 | *fLog << inf << "Conversion Factors to photons area idx: " << aidx << ":" << endl; | 
|---|
| 804 | *fLog << inf << "Mean: " << Form("%4.3f",mn) | 
|---|
| 805 | << "+-" << Form("%4.3f",fit->GetParError(1)) | 
|---|
| 806 | << "  Sigma: " << Form("%4.3f",sg) << "+-" << Form("%4.3f",fit->GetParError(2)) | 
|---|
| 807 | << "  Chisquare: " << Form("%4.3f",fit->GetChisquare()) << "  NDF  : " << ndf << endl; | 
|---|
| 808 |  | 
|---|
| 809 | delete fit; | 
|---|
| 810 | delete h; | 
|---|
| 811 | gROOT->GetListOfFunctions()->Remove(fit); | 
|---|
| 812 |  | 
|---|
| 813 | TArrayF arr(2); | 
|---|
| 814 | arr[0] = mn; | 
|---|
| 815 | arr[1] = sg; | 
|---|
| 816 |  | 
|---|
| 817 | return arr; | 
|---|
| 818 | } | 
|---|
| 819 |  | 
|---|
| 820 | // -------------------------------------------------------------------------- | 
|---|
| 821 | // | 
|---|
| 822 | // Calculates the average conversion factor FADC counts to equiv. photo-electrons for pixel sizes. | 
|---|
| 823 | // The geometry container is used to get the necessary | 
|---|
| 824 | // geometry information (area index). The MCalibrationQECam container is necessary for | 
|---|
| 825 | // the quantum efficiency information. | 
|---|
| 826 | // If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored | 
|---|
| 827 | // in the calculation of the size average. | 
|---|
| 828 | // | 
|---|
| 829 | // Returns a TArrayF of dimension 2: | 
|---|
| 830 | // arr[0]: averaged conversion factors (default: -1.) | 
|---|
| 831 | // arr[1]: Error (rms) of averaged conversion factors (default: 0.) | 
|---|
| 832 | // | 
|---|
| 833 | TArrayF MCalibrationChargeCam::GetAveragedConvFADC2PhePerArea  ( const MGeomCam &geom, const MCalibrationQECam &qecam, | 
|---|
| 834 | const UInt_t ai,  MBadPixelsCam *bad) | 
|---|
| 835 | { | 
|---|
| 836 |  | 
|---|
| 837 | const Int_t np = GetSize(); | 
|---|
| 838 |  | 
|---|
| 839 | Double_t mean  = 0.; | 
|---|
| 840 | Double_t mean2 = 0.; | 
|---|
| 841 | Int_t    nr    = 0; | 
|---|
| 842 |  | 
|---|
| 843 | MHCamera convcam(geom,"ConvFactors","Conversion Factors;Conv Factor [phe/FADC cnts];channels"); | 
|---|
| 844 |  | 
|---|
| 845 | for (int i=0; i<np; i++) | 
|---|
| 846 | { | 
|---|
| 847 | if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun)) | 
|---|
| 848 | continue; | 
|---|
| 849 |  | 
|---|
| 850 | if (bad && (*bad)[i].IsUncalibrated(MBadPixelsPix::kDeviatingNumPhes)) | 
|---|
| 851 | continue; | 
|---|
| 852 |  | 
|---|
| 853 | const UInt_t aidx = geom[i].GetAidx(); | 
|---|
| 854 |  | 
|---|
| 855 | if (ai != aidx) | 
|---|
| 856 | continue; | 
|---|
| 857 |  | 
|---|
| 858 | const MCalibrationQEPix &qepix = (MCalibrationQEPix&)qecam[i]; | 
|---|
| 859 | if (!qepix.IsAverageQEFFactorAvailable()) | 
|---|
| 860 | continue; | 
|---|
| 861 |  | 
|---|
| 862 | const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i]; | 
|---|
| 863 | const Float_t conv = pix.GetMeanConvFADC2Phe()/qepix.GetQECascadesFFactor()*MCalibrationQEPix::gkDefaultAverageQE; | 
|---|
| 864 |  | 
|---|
| 865 | mean  += conv; | 
|---|
| 866 | mean2 += conv*conv; | 
|---|
| 867 | nr    ++; | 
|---|
| 868 |  | 
|---|
| 869 | convcam.Fill(i,conv); | 
|---|
| 870 | convcam.SetUsed(i); | 
|---|
| 871 | } | 
|---|
| 872 |  | 
|---|
| 873 | Float_t mn  = nr   ? mean/nr : -1.; | 
|---|
| 874 | Float_t sg  = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0.; | 
|---|
| 875 |  | 
|---|
| 876 | const Int_t aidx = (Int_t)ai; | 
|---|
| 877 |  | 
|---|
| 878 | TH1D *h = convcam.ProjectionS(TArrayI(),TArrayI(1,&aidx),"_py",750); | 
|---|
| 879 | h->SetDirectory(NULL); | 
|---|
| 880 |  | 
|---|
| 881 | TF1 *fit = NULL; | 
|---|
| 882 |  | 
|---|
| 883 | if (geom.InheritsFrom("MGeomCamMagic")) | 
|---|
| 884 | { | 
|---|
| 885 |  | 
|---|
| 886 | fit = new TF1("fit","gaus",0.01,1.); | 
|---|
| 887 |  | 
|---|
| 888 | // Fix the ranges, as found by Nadia | 
|---|
| 889 | if(aidx == 0) | 
|---|
| 890 | {h->Fit("fit","REQ0", "",0.07,0.3);} | 
|---|
| 891 | else | 
|---|
| 892 | {h->Fit("fit","REQ0", "",0.15,1.0);} | 
|---|
| 893 | } | 
|---|
| 894 | else | 
|---|
| 895 | { | 
|---|
| 896 | h->Fit("gaus","Q0"); | 
|---|
| 897 | fit = h->GetFunction("gaus"); | 
|---|
| 898 | } | 
|---|
| 899 |  | 
|---|
| 900 | Float_t ci2   = fit->GetChisquare(); | 
|---|
| 901 | Float_t sigma = fit->GetParameter(2); | 
|---|
| 902 |  | 
|---|
| 903 | if (ci2 > 500. || sigma > sg) | 
|---|
| 904 | { | 
|---|
| 905 | if (geom.InheritsFrom("MGeomCamMagic")) | 
|---|
| 906 | { | 
|---|
| 907 | // Fix the ranges, as found by Nadia | 
|---|
| 908 | if(aidx == 0) | 
|---|
| 909 | {h->Fit("fit","REQ0", "",0.07,0.3);} | 
|---|
| 910 | else | 
|---|
| 911 | {h->Fit("fit","REQ0", "",0.15,1.0);} | 
|---|
| 912 | } | 
|---|
| 913 | else | 
|---|
| 914 | { | 
|---|
| 915 | h->Fit("gaus","MREQ0"); | 
|---|
| 916 | fit = h->GetFunction("gaus"); | 
|---|
| 917 | } | 
|---|
| 918 |  | 
|---|
| 919 | ci2   = fit->GetChisquare(); | 
|---|
| 920 | sigma = fit->GetParameter(2); | 
|---|
| 921 | } | 
|---|
| 922 |  | 
|---|
| 923 | const Int_t ndf = fit->GetNDF(); | 
|---|
| 924 |  | 
|---|
| 925 | if (ci2 < 500. && sigma < sg && ndf > 2) | 
|---|
| 926 | { | 
|---|
| 927 | mn  = fit->GetParameter(1); | 
|---|
| 928 | sg  = sigma; | 
|---|
| 929 | } | 
|---|
| 930 |  | 
|---|
| 931 | *fLog << inf << "Conversion Factors to equiv. photo-electrons area idx: " << aidx << ":" << endl; | 
|---|
| 932 | *fLog << inf << "Mean: " << Form("%4.3f",mn) | 
|---|
| 933 | << "+-" << Form("%4.3f",fit->GetParError(1)) | 
|---|
| 934 | << "  Sigma: " << Form("%4.3f",sg) << "+-" << Form("%4.3f",fit->GetParError(2)) | 
|---|
| 935 | << "  Chisquare: " << Form("%4.3f",fit->GetChisquare()) << "  NDF  : " << ndf << endl; | 
|---|
| 936 |  | 
|---|
| 937 | delete fit; | 
|---|
| 938 | delete h; | 
|---|
| 939 | gROOT->GetListOfFunctions()->Remove(fit); | 
|---|
| 940 |  | 
|---|
| 941 | TArrayF arr(2); | 
|---|
| 942 | arr[0] = mn; | 
|---|
| 943 | arr[1] = sg; | 
|---|
| 944 |  | 
|---|
| 945 | return arr; | 
|---|
| 946 | } | 
|---|
| 947 |  | 
|---|
| 948 | // -------------------------------------------------------------------------- | 
|---|
| 949 | // | 
|---|
| 950 | // Calculates the average conversion factor FADC counts to photons for camera sectors. | 
|---|
| 951 | // The geometry container is used to get the necessary | 
|---|
| 952 | // geometry information (area index). The MCalibrationQECam container is necessary for | 
|---|
| 953 | // the quantum efficiency information. | 
|---|
| 954 | // If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored | 
|---|
| 955 | // in the calculation of the size average. | 
|---|
| 956 | // | 
|---|
| 957 | // Returns a TArrayF of dimension 2: | 
|---|
| 958 | // arr[0]: averaged conversion factors (default: -1.) | 
|---|
| 959 | // arr[1]: Error (rms) of averaged conversion factors (default: 0.) | 
|---|
| 960 | // | 
|---|
| 961 | TArrayF MCalibrationChargeCam::GetAveragedConvFADC2PhotPerSector( const MGeomCam &geom, const MCalibrationQECam &qecam, | 
|---|
| 962 | const UInt_t sec, MBadPixelsCam *bad) | 
|---|
| 963 | { | 
|---|
| 964 | const Int_t np = GetSize(); | 
|---|
| 965 |  | 
|---|
| 966 | Double_t mean  = 0.; | 
|---|
| 967 | Double_t mean2 = 0.; | 
|---|
| 968 | Int_t    nr    = 0; | 
|---|
| 969 |  | 
|---|
| 970 | for (int i=0; i<np; i++) | 
|---|
| 971 | { | 
|---|
| 972 | if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun)) | 
|---|
| 973 | continue; | 
|---|
| 974 |  | 
|---|
| 975 | const UInt_t sector = geom[i].GetSector(); | 
|---|
| 976 |  | 
|---|
| 977 | if (sector != sec) | 
|---|
| 978 | continue; | 
|---|
| 979 |  | 
|---|
| 980 | const MCalibrationQEPix &qepix = (MCalibrationQEPix&)qecam[i]; | 
|---|
| 981 | if (!qepix.IsAverageQEFFactorAvailable()) | 
|---|
| 982 | continue; | 
|---|
| 983 |  | 
|---|
| 984 | const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i]; | 
|---|
| 985 | const Float_t conv = pix.GetMeanConvFADC2Phe(); | 
|---|
| 986 | const Float_t qe = qepix.GetQECascadesFFactor(); | 
|---|
| 987 |  | 
|---|
| 988 | mean  += conv/qe; | 
|---|
| 989 | mean2 += conv*conv/qe/qe; | 
|---|
| 990 | nr    ++; | 
|---|
| 991 |  | 
|---|
| 992 | } | 
|---|
| 993 |  | 
|---|
| 994 | TArrayF arr(2); | 
|---|
| 995 | arr[0] = nr   ? mean/nr : -1; | 
|---|
| 996 | arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0; | 
|---|
| 997 | return arr; | 
|---|
| 998 | } | 
|---|
| 999 |  | 
|---|
| 1000 | // -------------------------------------------------------------------------- | 
|---|
| 1001 | // | 
|---|
| 1002 | // Calculates the average mean arrival times for pixel sizes. | 
|---|
| 1003 | // The geometry container is used to get the necessary | 
|---|
| 1004 | // geometry information (area index). | 
|---|
| 1005 | // If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored | 
|---|
| 1006 | // in the calculation of the size average. | 
|---|
| 1007 | // | 
|---|
| 1008 | // Returns a TArrayF of dimension 2: | 
|---|
| 1009 | // arr[0]: averaged mean arrival times (default: -1.) | 
|---|
| 1010 | // arr[1]: Error (rms) of averaged mean arrival times (default: 0.) | 
|---|
| 1011 | // | 
|---|
| 1012 | TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeMeanPerArea(const MGeomCam &geom, | 
|---|
| 1013 | const UInt_t ai,  MBadPixelsCam *bad) | 
|---|
| 1014 | { | 
|---|
| 1015 |  | 
|---|
| 1016 | const Int_t np = GetSize(); | 
|---|
| 1017 |  | 
|---|
| 1018 | Double_t mean  = 0.; | 
|---|
| 1019 | Double_t mean2 = 0.; | 
|---|
| 1020 | Int_t    nr    = 0; | 
|---|
| 1021 |  | 
|---|
| 1022 | for (int i=0; i<np; i++) | 
|---|
| 1023 | { | 
|---|
| 1024 | if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun)) | 
|---|
| 1025 | continue; | 
|---|
| 1026 |  | 
|---|
| 1027 | const UInt_t aidx = geom[i].GetAidx(); | 
|---|
| 1028 |  | 
|---|
| 1029 | if (ai != aidx) | 
|---|
| 1030 | continue; | 
|---|
| 1031 |  | 
|---|
| 1032 | const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i]; | 
|---|
| 1033 | const Float_t time = pix.GetAbsTimeMean(); | 
|---|
| 1034 |  | 
|---|
| 1035 | mean  += time   ; | 
|---|
| 1036 | mean2 += time*time; | 
|---|
| 1037 | nr    ++; | 
|---|
| 1038 |  | 
|---|
| 1039 | } | 
|---|
| 1040 |  | 
|---|
| 1041 | TArrayF arr(2); | 
|---|
| 1042 | arr[0] = nr   ? mean/nr : -1; | 
|---|
| 1043 | arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0; | 
|---|
| 1044 | return arr; | 
|---|
| 1045 | } | 
|---|
| 1046 |  | 
|---|
| 1047 | // -------------------------------------------------------------------------- | 
|---|
| 1048 | // | 
|---|
| 1049 | // Calculates the average mean arrival times for camera sectors. | 
|---|
| 1050 | // The geometry container is used to get the necessary | 
|---|
| 1051 | // geometry information (area index). | 
|---|
| 1052 | // If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored | 
|---|
| 1053 | // in the calculation of the size average. | 
|---|
| 1054 | // | 
|---|
| 1055 | // Returns a TArrayF of dimension 2: | 
|---|
| 1056 | // arr[0]: averaged mean arrival times (default: -1.) | 
|---|
| 1057 | // arr[1]: Error (rms) of averaged mean arrival times (default: 0.) | 
|---|
| 1058 | // | 
|---|
| 1059 | TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeMeanPerSector(const MGeomCam &geom, | 
|---|
| 1060 | const UInt_t sec, MBadPixelsCam *bad) | 
|---|
| 1061 | { | 
|---|
| 1062 | const Int_t np = GetSize(); | 
|---|
| 1063 |  | 
|---|
| 1064 | Double_t mean  = 0.; | 
|---|
| 1065 | Double_t mean2 = 0.; | 
|---|
| 1066 | Int_t    nr    = 0; | 
|---|
| 1067 |  | 
|---|
| 1068 | for (int i=0; i<np; i++) | 
|---|
| 1069 | { | 
|---|
| 1070 | if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun)) | 
|---|
| 1071 | continue; | 
|---|
| 1072 |  | 
|---|
| 1073 | const UInt_t sector = geom[i].GetSector(); | 
|---|
| 1074 |  | 
|---|
| 1075 | if (sector != sec) | 
|---|
| 1076 | continue; | 
|---|
| 1077 |  | 
|---|
| 1078 | const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i]; | 
|---|
| 1079 | const Float_t time = pix.GetAbsTimeMean(); | 
|---|
| 1080 |  | 
|---|
| 1081 | mean  += time; | 
|---|
| 1082 | mean2 += time*time; | 
|---|
| 1083 | nr    ++; | 
|---|
| 1084 |  | 
|---|
| 1085 | } | 
|---|
| 1086 |  | 
|---|
| 1087 | TArrayF arr(2); | 
|---|
| 1088 | arr[0] = nr   ? mean/nr : -1; | 
|---|
| 1089 | arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0; | 
|---|
| 1090 | return arr; | 
|---|
| 1091 | } | 
|---|
| 1092 |  | 
|---|
| 1093 | // -------------------------------------------------------------------------- | 
|---|
| 1094 | // | 
|---|
| 1095 | // Calculates the average arrival time RMSs for pixel sizes. | 
|---|
| 1096 | // The geometry container is used to get the necessary | 
|---|
| 1097 | // geometry information (area index). | 
|---|
| 1098 | // If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored | 
|---|
| 1099 | // in the calculation of the size average. | 
|---|
| 1100 | // | 
|---|
| 1101 | // Returns a TArrayF of dimension 2: | 
|---|
| 1102 | // arr[0]: averaged arrival time RMSs (default: -1.) | 
|---|
| 1103 | // arr[1]: Error (rms) of averaged arrival time RMSs (default: 0.) | 
|---|
| 1104 | // | 
|---|
| 1105 | TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeRmsPerArea  ( const MGeomCam &geom, | 
|---|
| 1106 | const UInt_t ai,  MBadPixelsCam *bad) | 
|---|
| 1107 | { | 
|---|
| 1108 |  | 
|---|
| 1109 | const Int_t np = GetSize(); | 
|---|
| 1110 |  | 
|---|
| 1111 | Double_t mean  = 0.; | 
|---|
| 1112 | Double_t mean2 = 0.; | 
|---|
| 1113 | Int_t    nr    = 0; | 
|---|
| 1114 |  | 
|---|
| 1115 | for (int i=0; i<np; i++) | 
|---|
| 1116 | { | 
|---|
| 1117 | if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun)) | 
|---|
| 1118 | continue; | 
|---|
| 1119 |  | 
|---|
| 1120 | const UInt_t aidx = geom[i].GetAidx(); | 
|---|
| 1121 |  | 
|---|
| 1122 | if (ai != aidx) | 
|---|
| 1123 | continue; | 
|---|
| 1124 |  | 
|---|
| 1125 | const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i]; | 
|---|
| 1126 | const Float_t rms = pix.GetAbsTimeRms(); | 
|---|
| 1127 |  | 
|---|
| 1128 | mean  += rms; | 
|---|
| 1129 | mean2 += rms*rms; | 
|---|
| 1130 | nr    ++; | 
|---|
| 1131 |  | 
|---|
| 1132 | } | 
|---|
| 1133 |  | 
|---|
| 1134 | TArrayF arr(2); | 
|---|
| 1135 | arr[0] = nr   ? mean/nr : -1; | 
|---|
| 1136 | arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0; | 
|---|
| 1137 | return arr; | 
|---|
| 1138 | } | 
|---|
| 1139 |  | 
|---|
| 1140 | // -------------------------------------------------------------------------- | 
|---|
| 1141 | // | 
|---|
| 1142 | // Calculates the average arrival time RMSs for camera sectors. | 
|---|
| 1143 | // The geometry container is used to get the necessary | 
|---|
| 1144 | // geometry information (area index). | 
|---|
| 1145 | // If the bad pixel container is given all pixels which have the flag 'kUnsuitableRun' are ignored | 
|---|
| 1146 | // in the calculation of the size average. | 
|---|
| 1147 | // | 
|---|
| 1148 | // Returns a TArrayF of dimension 2: | 
|---|
| 1149 | // arr[0]: averaged arrival time RMSs (default: -1.) | 
|---|
| 1150 | // arr[1]: Error (rms) of averaged arrival time RMSs (default: 0.) | 
|---|
| 1151 | // | 
|---|
| 1152 | TArrayF MCalibrationChargeCam::GetAveragedArrivalTimeRmsPerSector( const MGeomCam &geom, const UInt_t sec, MBadPixelsCam *bad) | 
|---|
| 1153 | { | 
|---|
| 1154 | const Int_t np = GetSize(); | 
|---|
| 1155 |  | 
|---|
| 1156 | Double_t mean  = 0.; | 
|---|
| 1157 | Double_t mean2 = 0.; | 
|---|
| 1158 | Int_t    nr    = 0; | 
|---|
| 1159 |  | 
|---|
| 1160 | for (int i=0; i<np; i++) | 
|---|
| 1161 | { | 
|---|
| 1162 | if (bad && (*bad)[i].IsUnsuitable(MBadPixelsPix::kUnsuitableRun)) | 
|---|
| 1163 | continue; | 
|---|
| 1164 |  | 
|---|
| 1165 | const UInt_t sector = geom[i].GetSector(); | 
|---|
| 1166 |  | 
|---|
| 1167 | if (sector != sec) | 
|---|
| 1168 | continue; | 
|---|
| 1169 |  | 
|---|
| 1170 | const MCalibrationChargePix &pix = (MCalibrationChargePix&)(*this)[i]; | 
|---|
| 1171 | const Float_t rms = pix.GetAbsTimeRms(); | 
|---|
| 1172 |  | 
|---|
| 1173 | mean  += rms; | 
|---|
| 1174 | mean2 += rms*rms; | 
|---|
| 1175 | nr    ++; | 
|---|
| 1176 | } | 
|---|
| 1177 |  | 
|---|
| 1178 | TArrayF arr(2); | 
|---|
| 1179 | arr[0] = nr   ? mean/nr : -1; | 
|---|
| 1180 | arr[1] = nr>1 ? TMath::Sqrt((mean2 - mean*mean/nr)/(nr-1)) : 0; | 
|---|
| 1181 |  | 
|---|
| 1182 | return arr; | 
|---|
| 1183 | } | 
|---|