1 | /* ======================================================================== *\
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2 | !
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3 | ! *
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4 | ! * This file is part of MARS, the MAGIC Analysis and Reconstruction
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5 | ! * Software. It is distributed to you in the hope that it can be a useful
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6 | ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes.
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7 | ! * It is distributed WITHOUT ANY WARRANTY.
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8 | ! *
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9 | ! * Permission to use, copy, modify and distribute this software and its
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10 | ! * documentation for any purpose is hereby granted without fee,
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11 | ! * provided that the above copyright notice appear in all copies and
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12 | ! * that both that copyright notice and this permission notice appear
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13 | ! * in supporting documentation. It is provided "as is" without express
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14 | ! * or implied warranty.
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15 | ! *
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16 | !
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17 | !
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18 | ! Author(s): Markus Gaug 02/2004 <mailto:markus@ifae.es>
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19 | !
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20 | ! Copyright: MAGIC Software Development, 2000-2004
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21 | !
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22 | !
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23 | \* ======================================================================== */
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24 | /////////////////////////////////////////////////////////////////////////////
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25 | //
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26 | // MHCalibrationRelTimeCam
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27 | //
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28 | // Fills the extracted relative arrival times of MArrivalTimeCam into
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29 | // the MHGausEvents-classes MHCalibrationRelTimePix for every:
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30 | //
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31 | // - Pixel, stored in the TObjArray's MHCalibrationCam::fHiGainArray
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32 | // or MHCalibrationCam::fHiGainArray, respectively, depending if
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33 | // MArrivalTimePix::IsLoGainUsed() is set.
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34 | //
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35 | // - Average pixel per AREA index (e.g. inner and outer for the MAGIC camera),
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36 | // stored in the TObjArray's MHCalibrationCam::fAverageHiGainAreas and
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37 | // MHCalibrationCam::fAverageHiGainAreas
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38 | //
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39 | // - Average pixel per camera SECTOR (e.g. sectors 1-6 for the MAGIC camera),
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40 | // stored in the TObjArray's MHCalibrationCam::fAverageHiGainSectors
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41 | // and MHCalibrationCam::fAverageHiGainSectors
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42 | //
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43 | // Every relative time is calculated as the difference between the individual
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44 | // pixel arrival time and the one of pixel 1 (hardware number: 2).
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45 | // The relative times are filled into a histogram and an array, in order to perform
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46 | // a Fourier analysis (see MHGausEvents). The signals are moreover averaged on an
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47 | // event-by-event basis and written into the corresponding average pixels.
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48 | //
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49 | // The histograms are fitted to a Gaussian, mean and sigma with its errors
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50 | // and the fit probability are extracted. If none of these values are NaN's and
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51 | // if the probability is bigger than MHGausEvents::fProbLimit (default: 0.5%),
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52 | // the fit is declared valid.
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53 | // Otherwise, the fit is repeated within ranges of the previous mean
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54 | // +- MHGausEvents::fPickupLimit (default: 5) sigma (see MHGausEvents::RepeatFit())
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55 | // In case this does not make the fit valid, the histogram means and RMS's are
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56 | // taken directly (see MHGausEvents::BypassFit()) and the following flags are set:
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57 | // - MBadPixelsPix::SetUncalibrated( MBadPixelsPix::kRelTimeNotFitted ) and
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58 | // - MBadPixelsPix::SetUnsuitable( MBadPixelsPix::kUnreliableRun )
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59 | //
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60 | // Outliers of more than MHGausEvents::fPickupLimit (default: 5) sigmas
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61 | // from the mean are counted as Pickup events (stored in MHGausEvents::fPickup)
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62 | //
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63 | // The class also fills arrays with the signal vs. event number, creates a fourier
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64 | // spectrum (see MHGausEvents::CreateFourierSpectrum()) and investigates if the
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65 | // projected fourier components follow an exponential distribution.
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66 | // In case that the probability of the exponential fit is less than
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67 | // MHGausEvents::fProbLimit (default: 0.5%), the following flags are set:
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68 | // - MBadPixelsPix::SetUncalibrated( MBadPixelsPix::kRelTimeOscillating ) and
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69 | // - MBadPixelsPix::SetUnsuitable( MBadPixelsPix::kUnreliableRun )
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70 | //
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71 | // This same procedure is performed for the average pixels.
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72 | //
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73 | // The following results are written into MCalibrationRelTimeCam:
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74 | //
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75 | // - MCalibrationPix::SetMean()
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76 | // - MCalibrationPix::SetMeanErr()
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77 | // - MCalibrationPix::SetSigma()
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78 | // - MCalibrationPix::SetSigmaErr()
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79 | // - MCalibrationPix::SetProb()
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80 | // - MCalibrationPix::SetNumPickup()
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81 | //
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82 | // For all averaged areas, the fitted sigma is multiplied with the square root of
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83 | // the number involved pixels in order to be able to compare it to the average of
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84 | // sigmas in the camera.
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85 | //
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86 | /////////////////////////////////////////////////////////////////////////////
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87 | #include "MHCalibrationRelTimeCam.h"
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88 | #include "MHCalibrationRelTimePix.h"
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89 |
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90 | #include "MLog.h"
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91 | #include "MLogManip.h"
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92 |
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93 | #include "MParList.h"
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94 |
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95 | #include "MCalibrationRelTimeCam.h"
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96 | #include "MCalibrationPix.h"
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97 |
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98 | #include "MArrivalTimeCam.h"
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99 | #include "MArrivalTimePix.h"
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100 |
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101 | #include "MGeomCam.h"
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102 | #include "MGeomPix.h"
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103 |
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104 | #include "MBadPixelsCam.h"
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105 | #include "MBadPixelsPix.h"
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106 |
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107 | ClassImp(MHCalibrationRelTimeCam);
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108 |
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109 | using namespace std;
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110 |
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111 | const UInt_t MHCalibrationRelTimeCam::fgReferencePixel = 1;
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112 | // --------------------------------------------------------------------------
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113 | //
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114 | // Default Constructor.
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115 | //
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116 | // Sets:
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117 | // - fReferencePixel to fgReferencePixel
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118 | //
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119 | MHCalibrationRelTimeCam::MHCalibrationRelTimeCam(const char *name, const char *title)
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120 | {
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121 |
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122 | fName = name ? name : "MHCalibrationRelTimeCam";
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123 | fTitle = title ? title : "Histogram class for the relative time calibration of the camera";
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124 |
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125 | SetReferencePixel();
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126 | }
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127 |
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128 | // --------------------------------------------------------------------------
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129 | //
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130 | // Gets or creates the pointers to:
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131 | // - MCalibrationRelTimeCam
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132 | //
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133 | // Searches pointer to:
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134 | // - MArrivalTimeCam
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135 | //
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136 | // Initializes, if empty to MGeomCam::GetNumPixels():
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137 | // - MHCalibrationCam::fHiGainArray, MHCalibrationCam::fLoGainArray
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138 | //
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139 | // Initializes, if empty to MGeomCam::GetNumAreas() for:
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140 | // - MHCalibrationCam::fAverageHiGainAreas, MHCalibrationCam::fAverageLoGainAreas
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141 | //
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142 | // Initializes, if empty to MGeomCam::GetNumSectors() for:
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143 | // - MHCalibrationCam::fAverageHiGainSectors, MHCalibrationCam::fAverageLoGainSectors
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144 | //
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145 | // Calls MHCalibrationCam::InitHists() for every entry in:
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146 | // - MHCalibrationCam::fHiGainArray, MHCalibrationCam::fLoGainArray
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147 | // - MHCalibrationCam::fAverageHiGainAreas, MHCalibrationCam::fAverageLoGainAreas
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148 | // - MHCalibrationCam::fAverageHiGainSectors, MHCalibrationCam::fAverageLoGainSectors
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149 | //
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150 | // Sets Titles and Names for the Histograms
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151 | // - MHCalibrationCam::fAverageHiGainAreas
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152 | // - MHCalibrationCam::fAverageHiGainSectors
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153 | //
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154 | // Sets number of bins to MHCalibrationCam::fAverageNbins for:
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155 | // - MHCalibrationCam::fAverageHiGainAreas, MHCalibrationCam::fAverageLoGainAreas
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156 | // - MHCalibrationCam::fAverageHiGainSectors, MHCalibrationCam::fAverageLoGainSectors
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157 | //
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158 | Bool_t MHCalibrationRelTimeCam::ReInitHists(MParList *pList)
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159 | {
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160 |
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161 |
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162 | fCam = (MCalibrationCam*)pList->FindObject("MCalibrationRelTimeCam");
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163 | if (!fCam)
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164 | {
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165 | fCam = (MCalibrationCam*)pList->FindCreateObj(AddSerialNumber("MCalibrationRelTimeCam"));
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166 | if (!fCam)
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167 | {
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168 | gLog << err << "Cannot find nor create MCalibrationRelTimeCam ... abort." << endl;
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169 | return kFALSE;
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170 | }
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171 | else
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172 | fCam->Init(*fGeom);
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173 | }
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174 |
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175 |
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176 | MArrivalTimeCam *signal = (MArrivalTimeCam*)pList->FindObject("MArrivalTimeCam");
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177 | if (!signal)
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178 | {
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179 | *fLog << err << "MArrivalTimeCam not found... abort." << endl;
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180 | return kFALSE;
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181 | }
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182 |
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183 | const Int_t npixels = fGeom->GetNumPixels();
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184 | const Int_t nsectors = fGeom->GetNumSectors();
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185 | const Int_t nareas = fGeom->GetNumAreas();
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186 |
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187 | if (fHiGainArray->GetEntries()==0)
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188 | {
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189 | fHiGainArray->Expand(npixels);
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190 | for (Int_t i=0; i<npixels; i++)
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191 | {
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192 | (*fHiGainArray)[i] = new MHCalibrationRelTimePix("MHCalibrationRelTimePixHiGain",
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193 | "Rel. Arr. Time Hi-Gain Pixel ");
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194 | InitHists((*this)[i],(*fBadPixels)[i],i);
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195 | }
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196 | }
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197 |
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198 | if (fLoGainArray->GetEntries()==0)
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199 | {
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200 | fLoGainArray->Expand(npixels);
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201 | for (Int_t i=0; i<npixels; i++)
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202 | {
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203 | (*fLoGainArray)[i] = new MHCalibrationRelTimePix("MHCalibrationRelTimePixLoGain",
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204 | "Rel. Arr. Time Lo-Gain Pixel ");
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205 | InitHists((*this)(i),(*fBadPixels)[i],i);
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206 | }
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207 | }
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208 |
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209 |
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210 | if (fAverageHiGainAreas->GetEntries()==0)
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211 | {
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212 | fAverageHiGainAreas->Expand(nareas);
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213 |
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214 | for (Int_t j=0; j<nareas; j++)
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215 | {
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216 | (*fAverageHiGainAreas)[j] =
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217 | new MHCalibrationRelTimePix("MHCalibrationRelTimeAverageAreaHiGain",
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218 | "Average Rel. Arr. Times Hi-Gain Area Idx ");
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219 |
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220 | GetAverageHiGainArea(j).GetHGausHist()->SetTitle("Rel. Arr. Times HiGain Area Idx ");
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221 | GetAverageHiGainArea(j).SetNbins(fAverageNbins);
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222 |
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223 | InitHists(GetAverageHiGainArea(j),fCam->GetAverageBadArea(j),j);
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224 | }
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225 | }
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226 |
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227 | if (fAverageLoGainAreas->GetEntries()==0)
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228 | {
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229 | fAverageLoGainAreas->Expand(nareas);
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230 |
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231 | for (Int_t j=0; j<nareas; j++)
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232 | {
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233 | (*fAverageLoGainAreas)[j] =
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234 | new MHCalibrationRelTimePix("MHCalibrationRelTimeAverageAreaLoGain",
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235 | "Average Rel. Arr. Times Lo-Gain Area Idx ");
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236 |
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237 | GetAverageLoGainArea(j).GetHGausHist()->SetTitle("Rel. Arr. Times LoGain Area Idx ");
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238 | GetAverageLoGainArea(j).SetNbins(fAverageNbins);
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239 |
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240 | InitHists(GetAverageLoGainArea(j),fCam->GetAverageBadArea(j),j);
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241 | }
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242 | }
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243 |
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244 | if (fAverageHiGainSectors->GetEntries()==0)
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245 | {
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246 | fAverageHiGainSectors->Expand(nsectors);
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247 |
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248 | for (Int_t j=0; j<nsectors; j++)
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249 | {
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250 | (*fAverageHiGainSectors)[j] =
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251 | new MHCalibrationRelTimePix("MHCalibrationRelTimeAverageSectorHiGain",
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252 | "Average Rel. Arr. Times Hi-Gain Sector ");
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253 |
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254 | GetAverageHiGainSector(j).GetHGausHist()->SetTitle("Rel. Arr. Times HiGain Sector ");
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255 | GetAverageHiGainSector(j).SetNbins(fAverageNbins);
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256 |
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257 | InitHists(GetAverageHiGainSector(j),fCam->GetAverageBadSector(j),j);
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258 | }
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259 | }
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260 |
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261 | if (fAverageLoGainSectors->GetEntries()==0)
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262 | {
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263 | fAverageLoGainSectors->Expand(nsectors);
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264 |
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265 | for (Int_t j=0; j<nsectors; j++)
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266 | {
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267 | (*fAverageLoGainSectors)[j] =
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268 | new MHCalibrationRelTimePix("MHCalibrationRelTimeAverageSectorLoGain",
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269 | "Average Rel. Arr. Times Lo-Gain Sector ");
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270 |
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271 | GetAverageLoGainSector(j).GetHGausHist()->SetTitle("Rel. Arr. Times LoGain Sector ");
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272 | GetAverageLoGainSector(j).SetNbins(fAverageNbins);
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273 |
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274 | InitHists(GetAverageLoGainSector(j),fCam->GetAverageBadSector(j),j);
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275 |
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276 | }
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277 | }
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278 |
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279 | return kTRUE;
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280 | }
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281 |
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282 |
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283 | // -------------------------------------------------------------------------------
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284 | //
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285 | // Retrieves pointer to MArrivalTimeCam:
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286 | //
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287 | // Retrieves from MGeomCam:
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288 | // - number of pixels
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289 | // - number of pixel areas
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290 | // - number of sectors
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291 | //
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292 | // Fills HiGain or LoGain histograms (MHGausEvents::FillHistAndArray()), respectively
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293 | // depending on MArrivalTimePix::IsLoGainUsed(), with:
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294 | // - MArrivalTimePix::GetArrivalTime(pixid) - MArrivalTimePix::GetArrivalTime(1);
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295 | // (i.e. the time difference between pixel i and pixel 1 (hardware number: 2) )
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296 | //
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297 | Bool_t MHCalibrationRelTimeCam::FillHists(const MParContainer *par, const Stat_t w)
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298 | {
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299 |
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300 | MArrivalTimeCam *arrtime = (MArrivalTimeCam*)par;
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301 | if (!arrtime)
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302 | {
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303 | gLog << err << "No argument in MArrivalTime::Fill... abort." << endl;
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304 | return kFALSE;
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305 | }
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306 |
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307 | const Int_t npixels = fGeom->GetNumPixels();
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308 | const Int_t nareas = fGeom->GetNumAreas();
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309 | const Int_t nsectors = fGeom->GetNumSectors();
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310 |
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311 | Float_t sumareahi [nareas], sumarealo [nareas];
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312 | Float_t sumsectorhi[nsectors], sumsectorlo[nsectors];
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313 | Int_t numareahi [nareas], numarealo [nareas];
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314 | Int_t numsectorhi[nsectors], numsectorlo[nsectors];
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315 |
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316 | memset(sumareahi, 0, nareas * sizeof(Float_t));
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317 | memset(sumarealo, 0, nareas * sizeof(Float_t));
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318 | memset(sumsectorhi, 0, nsectors*sizeof(Float_t));
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319 | memset(sumsectorlo, 0, nsectors*sizeof(Float_t));
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320 | memset(numareahi, 0, nareas * sizeof(Float_t));
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321 | memset(numarealo, 0, nareas * sizeof(Float_t));
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322 | memset(numsectorhi, 0, nsectors*sizeof(Float_t));
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323 | memset(numsectorlo, 0, nsectors*sizeof(Float_t));
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324 |
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325 | const MArrivalTimePix &refpix = (*arrtime)[fReferencePixel];
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326 | const Float_t reftime = refpix.IsLoGainUsed()
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327 | ? refpix.GetArrivalTimeLoGain() : refpix.GetArrivalTimeHiGain();
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328 |
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329 | for (Int_t i=0; i<npixels; i++)
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330 | {
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331 |
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332 | MHGausEvents &histhi = (*this)[i];
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333 | MHGausEvents &histlo = (*this)(i);
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334 |
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335 | if (histhi.IsExcluded())
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336 | continue;
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337 |
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338 | const MArrivalTimePix &pix = (*arrtime)[i];
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339 | const Int_t aidx = (*fGeom)[i].GetAidx();
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340 | const Int_t sector = (*fGeom)[i].GetSector();
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341 |
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342 | if (pix.IsLoGainUsed())
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343 | {
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344 | const Float_t reltime = pix.GetArrivalTimeLoGain() - reftime;
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345 | histlo.FillHistAndArray(reltime);
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346 | sumarealo [aidx] += reltime;
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347 | numarealo [aidx] ++;
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348 | sumsectorlo[sector] += reltime;
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349 | numsectorlo[sector] ++;
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350 | }
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351 | else
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352 | {
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353 | const Float_t reltime = pix.GetArrivalTimeHiGain() - reftime;
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354 | histhi.FillHistAndArray(reltime) ;
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355 | sumareahi [aidx] += reltime;
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356 | numareahi [aidx] ++;
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357 | sumsectorhi[sector] += reltime;
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358 | numsectorhi[sector] ++;
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359 | }
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360 | }
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361 |
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362 | for (Int_t j=0; j<nareas; j++)
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363 | {
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364 | MHGausEvents &histhi = GetAverageHiGainArea(j);
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365 | histhi.FillHistAndArray(numareahi[j] == 0 ? 0. : sumareahi[j]/numareahi[j]);
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366 |
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367 | MHGausEvents &histlo = GetAverageLoGainArea(j);
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368 | histlo.FillHistAndArray(numarealo[j] == 0 ? 0. : sumarealo[j]/numarealo[j]);
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369 | }
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370 |
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371 | for (Int_t j=0; j<nsectors; j++)
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372 | {
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373 | MHGausEvents &histhi = GetAverageHiGainSector(j);
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374 | histhi.FillHistAndArray(numsectorhi[j] == 0 ? 0. : sumsectorhi[j]/numsectorhi[j]);
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375 |
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376 | MHGausEvents &histlo = GetAverageLoGainSector(j);
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377 | histlo.FillHistAndArray(numsectorlo[j] == 0 ? 0. : sumsectorlo[j]/numsectorlo[j]);
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378 | }
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379 |
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380 | return kTRUE;
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381 | }
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382 |
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383 | // --------------------------------------------------------------------------
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384 | //
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385 | // Calls:
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386 | // - MHCalibrationCam::FitHiGainArrays() with flags:
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387 | // MBadPixelsPix::kRelTimeNotFitted and MBadPixelsPix::kRelTimeOscillating
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388 | // - MHCalibrationCam::FitLoGainArrays() with flags:
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389 | // MBadPixelsPix::kRelTimeNotFitted and MBadPixelsPix::kRelTimeOscillating
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390 | //
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391 | Bool_t MHCalibrationRelTimeCam::FinalizeHists()
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392 | {
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393 |
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394 | FitHiGainArrays((*fCam),*fBadPixels,
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395 | MBadPixelsPix::kRelTimeNotFitted,
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396 | MBadPixelsPix::kRelTimeOscillating);
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397 |
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398 | FitLoGainArrays((*fCam),*fBadPixels,
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399 | MBadPixelsPix::kRelTimeNotFitted,
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400 | MBadPixelsPix::kRelTimeOscillating);
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401 |
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402 | return kTRUE;
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403 | }
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404 |
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405 | // --------------------------------------------------------------------------
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406 | //
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407 | // Sets all pixels to MBadPixelsPix::kUnreliableRun, if following flags are set:
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408 | // - MBadPixelsPix::kRelTimeNotFitted
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409 | // - MBadPixelsPix::kRelTimeOscillating
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410 | //
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411 | void MHCalibrationRelTimeCam::FinalizeBadPixels()
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412 | {
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413 |
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414 | for (Int_t i=0; i<fBadPixels->GetSize(); i++)
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415 | {
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416 |
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417 | MBadPixelsPix &bad = (*fBadPixels)[i];
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418 |
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419 | if (bad.IsUncalibrated( MBadPixelsPix::kRelTimeNotFitted ))
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420 | bad.SetUnsuitable( MBadPixelsPix::kUnreliableRun );
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421 |
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422 | if (bad.IsUncalibrated( MBadPixelsPix::kRelTimeOscillating))
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423 | bad.SetUnsuitable( MBadPixelsPix::kUnreliableRun );
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424 |
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425 | }
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426 | }
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427 |
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428 | // --------------------------------------------------------------------------
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429 | //
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430 | // The types are as follows:
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431 | //
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432 | // Fitted values:
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433 | // ==============
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434 | //
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435 | // 0: Fitted Mean Relative Arrival Time in ns (MHGausEvents::GetMean()*MHCalibrationRelTimePix::GetFADCSliceWidth())
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436 | // 1: Error Mean Relative Arrival Time in ns (MHGausEvents::GetMeanErr()*MHCalibrationRelTimePix::GetFADCSliceWidth())
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437 | // 2: Sigma fitted Relative Arrival Time in ns (MHGausEvents::GetSigma()*MHCalibrationRelTimePix::GetFADCSliceWidth())
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438 | // 3: Error Sigma Relative Arrival Time in ns (MHGausEvents::GetSigmaErr()*MHCalibrationRelTimePix::GetFADCSliceWidth())
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439 | //
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440 | // Useful variables derived from the fit results:
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441 | // =============================================
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442 | //
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443 | // 4: Returned probability of Gauss fit (calls: MHGausEvents::GetProb())
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444 | //
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445 | // Localized defects:
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446 | // ==================
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447 | //
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448 | // 5: Gaus fit not OK (calls: MHGausEvents::IsGausFitOK())
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449 | // 6: Fourier spectrum not OK (calls: MHGausEvents::IsFourierSpectrumOK())
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450 | //
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451 | Bool_t MHCalibrationRelTimeCam::GetPixelContent(Double_t &val, Int_t idx, const MGeomCam &cam, Int_t type) const
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452 | {
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453 |
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454 | if (fHiGainArray->GetSize() <= idx)
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455 | return kFALSE;
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456 |
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457 | const MHCalibrationRelTimePix &pix = (MHCalibrationRelTimePix&)(*this)[idx];
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458 | const Float_t fadc2ns = pix.GetFADCSliceWidth();
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459 |
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460 | switch (type)
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461 | {
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462 | case 0:
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463 | val = pix.GetMean()*fadc2ns;
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464 | break;
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465 | case 1:
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466 | val = pix.GetMeanErr()*fadc2ns;
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467 | break;
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468 | case 2:
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469 | val = pix.GetSigma()*fadc2ns;
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470 | break;
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471 | case 3:
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472 | val = pix.GetSigmaErr()*fadc2ns;
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473 | break;
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474 | case 4:
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475 | val = pix.GetProb();
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476 | break;
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477 | case 5:
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478 | if (!pix.IsGausFitOK())
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479 | val = 1.;
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480 | break;
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481 | case 6:
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482 | if (!pix.IsFourierSpectrumOK())
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483 | val = 1.;
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484 | break;
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485 | default:
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486 | return kFALSE;
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487 | }
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488 | return kTRUE;
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489 | }
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490 |
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491 | // --------------------------------------------------------------------------
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492 | //
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493 | // Calls MHGausEvents::DrawClone() for pixel idx
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494 | //
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495 | void MHCalibrationRelTimeCam::DrawPixelContent(Int_t idx) const
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496 | {
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497 | (*this)[idx].DrawClone();
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498 | }
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