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 11/2003 <mailto:markus@ifae.es>
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19 | !
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20 | ! Copyright: MAGIC Software Development, 2000-2001
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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 | // //
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27 | // MCalibrationPix //
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28 | // //
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29 | // This is the storage container to hold informations about the pedestal //
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30 | // (offset) value of one Pixel (PMT). //
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31 | // //
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32 | // The following values are initialized to meaningful values:
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33 | //
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34 | // - The Electronic Rms to 1.5 per FADC slice
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35 | // - The uncertainty about the Electronic RMS to 0.3 per slice
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36 | // - The F-Factor is assumed to have been measured in Munich to 1.13 - 1.17.
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37 | // with the Munich definition of the F-Factor, thus:
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38 | // F = Sigma(Out)/Mean(Out) * Mean(In)/Sigma(In)
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39 | // Mean F-Factor = 1.15
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40 | // Error F-Factor = 0.02
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41 | //
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42 | /////////////////////////////////////////////////////////////////////////////
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43 | #include "MCalibrationPix.h"
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44 | #include "MCalibrationConfig.h"
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45 |
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46 | #include "MLog.h"
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47 | #include "MLogManip.h"
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48 |
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49 | ClassImp(MCalibrationPix);
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50 |
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51 | using namespace std;
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52 |
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53 | const Float_t MCalibrationPix::gkElectronicPedRms = 1.5;
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54 | const Float_t MCalibrationPix::gkErrElectronicPedRms = 0.3;
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55 | const Float_t MCalibrationPix::gkFFactor = 1.15;
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56 | const Float_t MCalibrationPix::gkFFactorError = 0.02;
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57 | const Float_t MCalibrationPix::gkChargeLimit = 3.;
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58 | const Float_t MCalibrationPix::gkChargeErrLimit = 0.;
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59 | const Float_t MCalibrationPix::gkChargeRelErrLimit = 1.;
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60 | const Float_t MCalibrationPix::gkTimeLimit = 1.5;
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61 | const Float_t MCalibrationPix::gkTimeErrLimit = 3.;
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62 | const Float_t MCalibrationPix::gkConvFFactorRelErrorLimit = 0.1;
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63 |
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64 | // --------------------------------------------------------------------------
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65 | //
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66 | // Default Constructor:
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67 | //
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68 | MCalibrationPix::MCalibrationPix(const char *name, const char *title)
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69 | : fPixId(-1),
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70 | fFlags(0)
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71 | {
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72 |
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73 | fName = name ? name : "MCalibrationPixel";
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74 | fTitle = title ? title : "Container of the MHCalibrationPixels and the fit results";
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75 |
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76 | //
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77 | // At the moment, we don't have a database, yet,
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78 | // so we get it from the configuration file
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79 | //
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80 | fConversionHiLo = gkConversionHiLo;
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81 | fConversionHiLoError = gkConversionHiLoError;
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82 |
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83 | fHist = new MHCalibrationPixel("MHCalibrationPixel","Calibration Histograms Pixel ");
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84 |
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85 | if (!fHist)
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86 | *fLog << warn << dbginf << " Could not create MHCalibrationPixel " << endl;
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87 |
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88 | Clear();
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89 | }
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90 |
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91 | MCalibrationPix::~MCalibrationPix()
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92 | {
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93 | delete fHist;
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94 | }
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95 |
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96 |
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97 | // ------------------------------------------------------------------------
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98 | //
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99 | // Invalidate values
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100 | //
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101 | void MCalibrationPix::Clear(Option_t *o)
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102 | {
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103 |
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104 | fHist->Reset();
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105 |
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106 | CLRBIT(fFlags, kHiGainSaturation);
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107 | CLRBIT(fFlags, kExcluded);
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108 | CLRBIT(fFlags, kExcludeQualityCheck);
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109 | CLRBIT(fFlags, kChargeValid);
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110 | CLRBIT(fFlags, kFitted);
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111 | CLRBIT(fFlags, kOscillating);
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112 | CLRBIT(fFlags, kBlindPixelMethodValid);
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113 | CLRBIT(fFlags, kFFactorMethodValid);
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114 | CLRBIT(fFlags, kPINDiodeMethodValid);
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115 |
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116 | fCharge = -1.;
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117 | fErrCharge = -1.;
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118 | fSigmaCharge = -1.;
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119 | fErrSigmaCharge = -1.;
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120 | fRSigmaCharge = -1.;
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121 | fErrRSigmaCharge = -1.;
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122 |
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123 | fChargeProb = -1.;
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124 | fPed = -1.;
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125 | fPedRms = -1.;
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126 | fErrPedRms = 0.;
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127 |
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128 | fNumHiGainSamples = -1.;
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129 | fNumLoGainSamples = -1.;
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130 |
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131 | fTimeFirstHiGain = 0 ;
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132 | fTimeLastHiGain = 0 ;
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133 | fTimeFirstLoGain = 0 ;
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134 | fTimeLastLoGain = 0 ;
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135 |
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136 | fAbsTimeMean = -1.;
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137 | fAbsTimeRms = -1.;
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138 |
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139 | fPheFFactorMethod = -1.;
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140 | fPheFFactorMethodError = -1.;
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141 |
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142 | fMeanConversionFFactorMethod = -1.;
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143 | fMeanConversionBlindPixelMethod = -1.;
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144 | fMeanConversionPINDiodeMethod = -1.;
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145 |
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146 | fErrorConversionFFactorMethod = -1.;
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147 | fErrorConversionBlindPixelMethod = -1.;
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148 | fErrorConversionPINDiodeMethod = -1.;
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149 |
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150 | fSigmaConversionFFactorMethod = -1.;
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151 | fSigmaConversionBlindPixelMethod = -1.;
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152 | fSigmaConversionPINDiodeMethod = -1.;
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153 |
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154 | fFactorCalculated = kFALSE;
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155 |
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156 | }
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157 |
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158 |
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159 | void MCalibrationPix::DefinePixId(Int_t i)
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160 | {
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161 |
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162 | fPixId = i;
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163 | fHist->ChangeHistId(i);
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164 |
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165 | }
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166 |
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167 |
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168 | // --------------------------------------------------------------------------
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169 | //
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170 | // Set the pedestals from outside
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171 | //
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172 | void MCalibrationPix::SetPedestal(const Float_t ped, const Float_t pedrms,
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173 | const Float_t higainsamp, const Float_t logainsamp )
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174 | {
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175 |
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176 | fPed = ped;
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177 | fPedRms = pedrms;
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178 |
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179 | fNumHiGainSamples = higainsamp;
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180 | fNumLoGainSamples = logainsamp;
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181 |
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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 | // Set the conversion factors from outside (only for MC)
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187 | //
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188 | void MCalibrationPix::SetConversionFFactorMethod(Float_t c, Float_t err, Float_t sig)
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189 | {
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190 | fMeanConversionFFactorMethod = c;
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191 | fErrorConversionFFactorMethod = err;
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192 | fSigmaConversionFFactorMethod = sig;
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193 | }
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194 |
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195 |
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196 | // --------------------------------------------------------------------------
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197 | //
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198 | // Set the conversion factors from outside (only for MC)
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199 | //
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200 | void MCalibrationPix::SetConversionBlindPixelMethod(Float_t c, Float_t err, Float_t sig)
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201 | {
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202 | fMeanConversionBlindPixelMethod = c;
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203 | fErrorConversionBlindPixelMethod = err;
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204 | fSigmaConversionBlindPixelMethod = sig;
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205 | }
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206 |
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207 | // --------------------------------------------------------------------------
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208 | //
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209 | // Set the conversion factors from outside (only for MC)
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210 | //
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211 | void MCalibrationPix::SetConversionPINDiodeMethod(Float_t c, Float_t err, Float_t sig)
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212 | {
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213 | fMeanConversionPINDiodeMethod = c ;
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214 | fErrorConversionPINDiodeMethod = err;
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215 | fSigmaConversionPINDiodeMethod = sig;
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216 | }
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217 |
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218 | // --------------------------------------------------------------------------
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219 | //
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220 | // Set the Hi Gain Saturation Bit from outside (only for MC)
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221 | //
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222 | void MCalibrationPix::SetHiGainSaturation(Bool_t b)
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223 | {
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224 |
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225 | if (b)
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226 | {
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227 | SETBIT(fFlags, kHiGainSaturation);
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228 | fHist->SetUseLoGain(1);
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229 | }
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230 | else
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231 | {
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232 | CLRBIT(fFlags, kHiGainSaturation);
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233 | fHist->SetUseLoGain(0);
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234 | }
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235 | }
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236 |
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237 | // --------------------------------------------------------------------------
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238 | //
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239 | // Set the Excluded Bit from outside
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240 | //
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241 | void MCalibrationPix::SetExcluded(Bool_t b )
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242 | {
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243 | b ? SETBIT(fFlags, kExcluded) : CLRBIT(fFlags, kExcluded);
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244 | }
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245 |
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246 |
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247 | // --------------------------------------------------------------------------
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248 | //
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249 | // Set the Excluded Bit from outside
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250 | //
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251 | void MCalibrationPix::SetExcludeQualityCheck(Bool_t b )
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252 | {
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253 | b ? SETBIT(fFlags, kExcludeQualityCheck) : CLRBIT(fFlags, kExcludeQualityCheck);
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254 | }
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255 |
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256 | // --------------------------------------------------------------------------
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257 | //
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258 | // Set the Excluded Bit from outside
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259 | //
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260 | void MCalibrationPix::SetChargeValid(Bool_t b )
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261 | {
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262 | b ? SETBIT(fFlags, kChargeValid) : CLRBIT(fFlags, kChargeValid);
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263 | }
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264 |
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265 | // --------------------------------------------------------------------------
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266 | //
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267 | // Set the Excluded Bit from outside
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268 | //
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269 | void MCalibrationPix::SetFitted(Bool_t b )
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270 | {
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271 | b ? SETBIT(fFlags, kFitted) : CLRBIT(fFlags, kFitted);
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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 | // Set the Excluded Bit from outside
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277 | //
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278 | void MCalibrationPix::SetOscillating(Bool_t b )
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279 | {
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280 | b ? SETBIT(fFlags, kOscillating) : CLRBIT(fFlags, kOscillating);
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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 | // Set the Excluded Bit from outside
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286 | //
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287 | void MCalibrationPix::SetBlindPixelMethodValid(Bool_t b )
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288 | {
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289 | b ? SETBIT(fFlags, kBlindPixelMethodValid) : CLRBIT(fFlags, kBlindPixelMethodValid);
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290 | }
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291 |
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292 | // --------------------------------------------------------------------------
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293 | //
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294 | // Set the Excluded Bit from outside
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295 | //
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296 | void MCalibrationPix::SetFFactorMethodValid(Bool_t b )
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297 | {
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298 | b ? SETBIT(fFlags, kFFactorMethodValid) : CLRBIT(fFlags, kFFactorMethodValid);
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299 | }
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300 |
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301 | // --------------------------------------------------------------------------
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302 | //
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303 | // Set the Excluded Bit from outside
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304 | //
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305 | void MCalibrationPix::SetPINDiodeMethodValid(Bool_t b )
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306 | {
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307 | b ? SETBIT(fFlags, kPINDiodeMethodValid) : CLRBIT(fFlags, kPINDiodeMethodValid);
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308 | }
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309 |
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310 | void MCalibrationPix::SetAbsTimeBordersHiGain(Byte_t f, Byte_t l)
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311 | {
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312 |
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313 | fTimeFirstHiGain = f;
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314 | fTimeLastHiGain = l;
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315 |
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316 | }
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317 |
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318 | void MCalibrationPix::SetAbsTimeBordersLoGain(Byte_t f, Byte_t l)
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319 | {
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320 |
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321 | fTimeFirstLoGain = f;
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322 | fTimeLastLoGain = l;
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323 |
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324 | }
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325 |
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326 | Float_t MCalibrationPix::GetPheFFactorMethod()
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327 | {
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328 |
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329 | if (!fFactorCalculated)
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330 | CalcFFactorMethod();
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331 |
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332 | return fPheFFactorMethod;
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333 |
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334 | }
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335 |
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336 | Float_t MCalibrationPix::GetPheFFactorMethodError()
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337 | {
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338 |
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339 | if (!fFactorCalculated)
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340 | CalcFFactorMethod();
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341 |
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342 | return fPheFFactorMethodError;
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343 |
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344 | }
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345 |
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346 |
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347 | Float_t MCalibrationPix::GetTotalFFactorFFactorMethod()
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348 | {
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349 | if (!fFactorCalculated)
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350 | CalcFFactorMethod();
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351 |
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352 | if (fPheFFactorMethod > 0)
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353 | return (fRSigmaCharge/fCharge)*TMath::Sqrt(fPheFFactorMethod);
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354 | else
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355 | return -1.;
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356 | }
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357 |
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358 | Float_t MCalibrationPix::GetTotalFFactorErrorFFactorMethod()
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359 | {
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360 |
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361 | if (!fFactorCalculated)
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362 | CalcFFactorMethod();
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363 |
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364 | const Float_t rsigmaChargeRelErrSquare = fErrRSigmaCharge * fErrRSigmaCharge
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365 | / (fRSigmaCharge * fRSigmaCharge) ;
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366 | const Float_t rChargeRelErrSquare = fErrCharge * fErrCharge
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367 | / (fCharge * fCharge) ;
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368 | const Float_t rPheRelErrSquare = fPheFFactorMethodError * fPheFFactorMethodError
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369 | / (fPheFFactorMethod * fPheFFactorMethod) ;
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370 |
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371 | return TMath::Sqrt(rsigmaChargeRelErrSquare+rChargeRelErrSquare+rPheRelErrSquare);
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372 | }
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373 |
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374 |
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375 | Float_t MCalibrationPix::GetTotalFFactorBlindPixelMethod()
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376 | {
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377 | return 1.;
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378 | }
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379 |
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380 | Float_t MCalibrationPix::GetTotalFFactorErrorBlindPixelMethod()
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381 | {
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382 |
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383 | return 1.;
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384 | }
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385 |
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386 | Float_t MCalibrationPix::GetTotalFFactorPINDiodeMethod()
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387 | {
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388 | return 1.;
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389 | }
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390 |
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391 | Float_t MCalibrationPix::GetTotalFFactorErrorPINDiodeMethod()
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392 | {
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393 |
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394 | return 1.;
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395 | }
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396 |
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397 |
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398 |
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399 | Float_t MCalibrationPix::GetMeanConversionFFactorMethod()
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400 | {
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401 |
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402 | if (!fFactorCalculated)
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403 | CalcFFactorMethod();
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404 |
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405 | return fMeanConversionFFactorMethod;
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406 |
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407 | }
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408 |
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409 | Float_t MCalibrationPix::GetErrorConversionFFactorMethod()
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410 | {
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411 |
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412 | if (!fFactorCalculated)
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413 | CalcFFactorMethod();
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414 |
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415 | return fErrorConversionFFactorMethod;
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416 |
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417 | }
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418 |
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419 | Float_t MCalibrationPix::GetSigmaConversionFFactorMethod()
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420 | {
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421 |
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422 | if (!fFactorCalculated)
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423 | CalcFFactorMethod();
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424 |
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425 | return fSigmaConversionFFactorMethod;
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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 | Bool_t MCalibrationPix::IsExcluded() const
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431 | {
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432 | return TESTBIT(fFlags,kExcluded);
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433 | }
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434 |
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435 | Bool_t MCalibrationPix::IsExcludeQualityCheck() const
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436 | {
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437 | return TESTBIT(fFlags,kExcludeQualityCheck);
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438 | }
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439 |
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440 | Bool_t MCalibrationPix::IsHiGainSaturation() const
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441 | {
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442 | return TESTBIT(fFlags,kHiGainSaturation);
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443 | }
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444 |
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445 | Bool_t MCalibrationPix::IsChargeValid() const
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446 | {
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447 | return TESTBIT(fFlags, kChargeValid);
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448 | }
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449 |
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450 | Bool_t MCalibrationPix::IsFitted() const
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451 | {
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452 | return TESTBIT(fFlags, kFitted);
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453 | }
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454 |
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455 | Bool_t MCalibrationPix::IsOscillating()
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456 | {
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457 |
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458 | if (TESTBIT(fFlags, kOscillating))
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459 | return kTRUE;
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460 |
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461 | if (fHist->CheckOscillations())
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462 | {
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463 | SETBIT(fFlags,kOscillating);
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464 | return kTRUE;
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465 | }
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466 |
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467 | return kFALSE;
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468 | }
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469 |
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470 | Bool_t MCalibrationPix::IsBlindPixelMethodValid() const
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471 | {
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472 | return TESTBIT(fFlags, kBlindPixelMethodValid);
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473 | }
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474 |
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475 | Bool_t MCalibrationPix::IsFFactorMethodValid()
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476 | {
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477 |
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478 | if (!fFactorCalculated)
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479 | CalcFFactorMethod();
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480 |
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481 | return TESTBIT(fFlags, kFFactorMethodValid);
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482 | }
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483 |
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484 | Bool_t MCalibrationPix::IsPINDiodeMethodValid() const
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485 | {
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486 | return TESTBIT(fFlags, kPINDiodeMethodValid);
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487 | }
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488 |
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489 |
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490 | // --------------------------------------------------------------------------
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491 | //
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492 | // 1) Return if the charge distribution is already succesfully fitted
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493 | // or if the histogram is empty
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494 | // 2) Set a lower Fit range according to 1.5 Pedestal RMS in order to avoid
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495 | // possible remaining cosmics to spoil the fit.
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496 | // 3) Decide if the LoGain Histogram is fitted or the HiGain Histogram
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497 | // 4) Fit the histograms with a Gaussian
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498 | // 5) In case of failure set the bit kFitted to false
|
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499 | // 6) Retrieve the results and store them in this class
|
---|
500 | // 7) Calculate the number of photo-electrons after the F-Factor method
|
---|
501 | // 8) Calculate the errors of the F-Factor method
|
---|
502 | //
|
---|
503 | // The fits are declared valid (fFitValid = kTRUE), if:
|
---|
504 | //
|
---|
505 | // 1) Pixel has a fitted charge greater than 3*PedRMS
|
---|
506 | // 2) Pixel has a fit error greater than 0.
|
---|
507 | // 3) Pixel has a fit Probability greater than 0.0001
|
---|
508 | // 4) Pixel has a charge sigma bigger than its Pedestal RMS
|
---|
509 | // 5) If FitTimes is used,
|
---|
510 | // the mean arrival time is at least 1.0 slices from the used edge slices
|
---|
511 | // (this stage is only performed in the times fit)
|
---|
512 | //
|
---|
513 | // If the histogram is empty, all values are set to -1.
|
---|
514 | //
|
---|
515 | // The conversion factor after the F-Factor method is declared valid, if:
|
---|
516 | //
|
---|
517 | // 1) fFitValid is kTRUE
|
---|
518 | // 2) Conversion Factor is bigger than 0.
|
---|
519 | // 3) The error of the conversion factor is smaller than 10%
|
---|
520 | //
|
---|
521 | Bool_t MCalibrationPix::FitCharge()
|
---|
522 | {
|
---|
523 |
|
---|
524 | //
|
---|
525 | // 1) Return if the charge distribution is already succesfully fitted
|
---|
526 | // or if the histogram is empty
|
---|
527 | //
|
---|
528 | if (fHist->IsChargeFitOK() || fHist->IsEmpty())
|
---|
529 | return kTRUE;
|
---|
530 |
|
---|
531 | //
|
---|
532 | // 2) Set a lower Fit range according to 1.5 Pedestal RMS in order to avoid
|
---|
533 | // possible remaining cosmics to spoil the fit.
|
---|
534 | //
|
---|
535 | // if (fPed && fPedRms)
|
---|
536 | // fHist->SetLowerFitRange(1.5*fPedRms);
|
---|
537 | // else
|
---|
538 | // *fLog << warn << "WARNING: Cannot set lower fit range: Pedestals not available" << endl;
|
---|
539 |
|
---|
540 | //
|
---|
541 | // 3) Decide if the LoGain Histogram is fitted or the HiGain Histogram
|
---|
542 | //
|
---|
543 | if (fHist->UseLoGain())
|
---|
544 | SetHiGainSaturation();
|
---|
545 |
|
---|
546 | //
|
---|
547 | // 4) Fit the Lo Gain histograms with a Gaussian
|
---|
548 | //
|
---|
549 | if (fHist->FitCharge())
|
---|
550 | SETBIT(fFlags,kFitted);
|
---|
551 | else
|
---|
552 | {
|
---|
553 | *fLog << warn << "WARNING: Could not fit charges of pixel " << fPixId << endl;
|
---|
554 | //
|
---|
555 | // 5) In case of failure set the bit kFitted to false
|
---|
556 | //
|
---|
557 | CLRBIT(fFlags,kFitted);
|
---|
558 | }
|
---|
559 |
|
---|
560 | //
|
---|
561 | // 6) Retrieve the results and store them in this class
|
---|
562 | // If fFitted is false, we get the means and RMS of the histogram!!
|
---|
563 | //
|
---|
564 | fCharge = fHist->GetChargeMean();
|
---|
565 | fErrCharge = fHist->GetChargeMeanErr();
|
---|
566 | fSigmaCharge = fHist->GetChargeSigma();
|
---|
567 | fErrSigmaCharge = fHist->GetChargeSigmaErr();
|
---|
568 | fChargeProb = fHist->GetChargeProb();
|
---|
569 |
|
---|
570 |
|
---|
571 | fAbsTimeMean = fHist->GetAbsTimeMean();
|
---|
572 | fAbsTimeMeanErr = fHist->GetAbsTimeMeanErr();
|
---|
573 | fAbsTimeRms = fHist->GetAbsTimeRms();
|
---|
574 |
|
---|
575 | if (CheckTimeFitValidity())
|
---|
576 | SETBIT(fFlags,kTimeFitValid);
|
---|
577 | else
|
---|
578 | CLRBIT(fFlags,kTimeFitValid);
|
---|
579 |
|
---|
580 | //
|
---|
581 | // Calculate the conversion factors
|
---|
582 | //
|
---|
583 | if (IsHiGainSaturation())
|
---|
584 | ApplyLoGainConversion();
|
---|
585 |
|
---|
586 | if (CheckChargeValidity())
|
---|
587 | SETBIT(fFlags,kChargeValid);
|
---|
588 | else
|
---|
589 | {
|
---|
590 | CLRBIT(fFlags,kChargeValid);
|
---|
591 | return kFALSE;
|
---|
592 | }
|
---|
593 |
|
---|
594 | return kTRUE;
|
---|
595 |
|
---|
596 | }
|
---|
597 |
|
---|
598 | //
|
---|
599 | // Calculate the number of photo-electrons after the F-Factor method
|
---|
600 | // Calculate the errors of the F-Factor method
|
---|
601 | //
|
---|
602 | Bool_t MCalibrationPix::CalcFFactorMethod()
|
---|
603 | {
|
---|
604 |
|
---|
605 | if ( (fCharge == -1.)
|
---|
606 | || (fErrCharge < 0.)
|
---|
607 | || (fSigmaCharge < 0.)
|
---|
608 | || (fPedRms < 0.) )
|
---|
609 | {
|
---|
610 | *fLog << warn << GetDescriptor() << "Cannot calculate the FFactor Method! "
|
---|
611 | << "Some of the needed parameters are not available ";
|
---|
612 | CLRBIT(fFlags,kFFactorMethodValid);
|
---|
613 | return kFALSE;
|
---|
614 | }
|
---|
615 |
|
---|
616 | //
|
---|
617 | // Square all variables in order to avoid applications of square root
|
---|
618 | //
|
---|
619 | // First the relative error squares
|
---|
620 | //
|
---|
621 | const Float_t chargeSquare = fCharge* fCharge;
|
---|
622 | const Float_t chargeSquareRelErrSquare = 4.*fErrCharge*fErrCharge / chargeSquare;
|
---|
623 |
|
---|
624 | const Float_t ffactorsquare = gkFFactor * gkFFactor;
|
---|
625 | const Float_t ffactorsquareRelErrSquare = 4.*gkFFactorError * gkFFactorError / ffactorsquare;
|
---|
626 | //
|
---|
627 | // Now the absolute error squares
|
---|
628 | //
|
---|
629 | const Float_t sigmaSquare = fSigmaCharge*fSigmaCharge;
|
---|
630 | const Float_t sigmaSquareErrSquare = 4.*fErrSigmaCharge*fErrSigmaCharge * sigmaSquare;
|
---|
631 |
|
---|
632 | Float_t pedRmsSquare = fPedRms* fPedRms;
|
---|
633 | Float_t pedRmsSquareErrSquare = 4.*fErrPedRms*fErrPedRms * pedRmsSquare;
|
---|
634 |
|
---|
635 | if (!IsHiGainSaturation())
|
---|
636 | { /* HiGain */
|
---|
637 |
|
---|
638 | pedRmsSquare *= fNumHiGainSamples;
|
---|
639 | pedRmsSquareErrSquare *= fNumHiGainSamples*fNumHiGainSamples;
|
---|
640 | }
|
---|
641 | else
|
---|
642 | { /* LoGain */
|
---|
643 |
|
---|
644 | //
|
---|
645 | // We do not know the Lo Gain Pedestal RMS, so we have to retrieve it
|
---|
646 | // from the HI GAIN (all calculation per slice up to now):
|
---|
647 | //
|
---|
648 | // We extract the pure NSB contribution:
|
---|
649 | //
|
---|
650 | const Float_t elecRmsSquare = gkElectronicPedRms *gkElectronicPedRms;
|
---|
651 | const Float_t elecRmsSquareErrSquare = 4.*gkErrElectronicPedRms*gkErrElectronicPedRms * elecRmsSquare;
|
---|
652 |
|
---|
653 | Float_t nsbSquare = pedRmsSquare - elecRmsSquare;
|
---|
654 | Float_t nsbSquareRelErrSquare = (pedRmsSquareErrSquare + elecRmsSquareErrSquare)
|
---|
655 | / (nsbSquare * nsbSquare) ;
|
---|
656 |
|
---|
657 | if (nsbSquare < 0.)
|
---|
658 | nsbSquare = 0.;
|
---|
659 |
|
---|
660 | //
|
---|
661 | // Now, we divide the NSB by the conversion factor and
|
---|
662 | // add it quadratically to the electronic noise
|
---|
663 | //
|
---|
664 | const Float_t conversionSquare = fConversionHiLo *fConversionHiLo;
|
---|
665 | const Float_t conversionSquareRelErrSquare = 4.*fConversionHiLoError*fConversionHiLoError/conversionSquare;
|
---|
666 |
|
---|
667 | const Float_t convertedNsbSquare = nsbSquare / conversionSquare;
|
---|
668 | const Float_t convertedNsbSquareErrSquare = (nsbSquareRelErrSquare + conversionSquareRelErrSquare)
|
---|
669 | * convertedNsbSquare * convertedNsbSquare;
|
---|
670 |
|
---|
671 | pedRmsSquare = convertedNsbSquare + elecRmsSquare;
|
---|
672 | pedRmsSquareErrSquare = convertedNsbSquareErrSquare + elecRmsSquareErrSquare;
|
---|
673 |
|
---|
674 | //
|
---|
675 | // Now, correct for the number of used FADC slices in the LoGain:
|
---|
676 | //
|
---|
677 | pedRmsSquare *= fNumLoGainSamples;
|
---|
678 | pedRmsSquareErrSquare *= fNumLoGainSamples*fNumLoGainSamples;
|
---|
679 | //
|
---|
680 | // Correct also for the conversion to Hi-Gain:
|
---|
681 | //
|
---|
682 | pedRmsSquare *= fConversionHiLo*fConversionHiLo;
|
---|
683 | pedRmsSquareErrSquare *= fConversionHiLo*fConversionHiLo*fConversionHiLo*fConversionHiLo;
|
---|
684 |
|
---|
685 | } /* if (HiGainSaturation) */
|
---|
686 |
|
---|
687 | //
|
---|
688 | // Calculate the reduced sigmas
|
---|
689 | //
|
---|
690 | const Float_t rsigmachargesquare = sigmaSquare - pedRmsSquare;
|
---|
691 | if (rsigmachargesquare <= 0.)
|
---|
692 | {
|
---|
693 | *fLog << warn
|
---|
694 | << "WARNING: Cannot apply F-Factor calibration: Reduced Sigma smaller than 0 in pixel "
|
---|
695 | << fPixId << endl;
|
---|
696 | CLRBIT(fFlags,kFFactorMethodValid);
|
---|
697 | fFactorCalculated = kTRUE;
|
---|
698 | return kFALSE;
|
---|
699 | }
|
---|
700 |
|
---|
701 | const Float_t rSigmaSquareRelErrSquare = (sigmaSquareErrSquare + pedRmsSquareErrSquare)
|
---|
702 | / (rsigmachargesquare * rsigmachargesquare) ;
|
---|
703 |
|
---|
704 | fRSigmaCharge = TMath::Sqrt(rsigmachargesquare);
|
---|
705 | fErrRSigmaCharge = TMath::Sqrt(sigmaSquareErrSquare + pedRmsSquareErrSquare);
|
---|
706 |
|
---|
707 |
|
---|
708 | //
|
---|
709 | // Calculate the number of phe's from the F-Factor method
|
---|
710 | // (independent on Hi Gain or Lo Gain)
|
---|
711 | //
|
---|
712 | fPheFFactorMethod = ffactorsquare * chargeSquare / rsigmachargesquare;
|
---|
713 |
|
---|
714 | const Float_t pheFFactorRelErrSquare = ffactorsquareRelErrSquare
|
---|
715 | + chargeSquareRelErrSquare
|
---|
716 | + rSigmaSquareRelErrSquare ;
|
---|
717 |
|
---|
718 | fPheFFactorMethodError = TMath::Sqrt(pheFFactorRelErrSquare) * fPheFFactorMethod;
|
---|
719 |
|
---|
720 | const Float_t chargeRelErrSquare = fErrCharge*fErrCharge / (fCharge * fCharge);
|
---|
721 |
|
---|
722 | fMeanConversionFFactorMethod = fPheFFactorMethod / fCharge ;
|
---|
723 | fErrorConversionFFactorMethod = ( pheFFactorRelErrSquare + chargeRelErrSquare )
|
---|
724 | * fMeanConversionFFactorMethod * fMeanConversionFFactorMethod;
|
---|
725 |
|
---|
726 | const Float_t convrelerror = fErrorConversionFFactorMethod/fMeanConversionFFactorMethod;
|
---|
727 |
|
---|
728 | if ( (fMeanConversionFFactorMethod > 0.) && (convrelerror < gkConvFFactorRelErrorLimit))
|
---|
729 | SETBIT(fFlags,kFFactorMethodValid);
|
---|
730 |
|
---|
731 | fFactorCalculated = kTRUE;
|
---|
732 |
|
---|
733 | fSigmaConversionFFactorMethod = GetTotalFFactorFFactorMethod()*TMath::Sqrt(fMeanConversionFFactorMethod);
|
---|
734 |
|
---|
735 | return kTRUE;
|
---|
736 | }
|
---|
737 |
|
---|
738 |
|
---|
739 | //
|
---|
740 | // The check returns kTRUE if:
|
---|
741 | //
|
---|
742 | // 0) Pixel has BIT fitted set:
|
---|
743 | // This means:
|
---|
744 | // a) No result is a nan
|
---|
745 | // b) The NDF is not smaller than fNDFLimit (5)
|
---|
746 | // c) The Probability is greater than gkProbLimit (default 0.001 == 99.9%)
|
---|
747 | // 1) Pixel has a fitted charge greater than 3*PedRMS
|
---|
748 | // 2) Pixel has a fit error greater than 0.
|
---|
749 | // 3) Pixel has a fitted charge greater its charge error
|
---|
750 | // 4) Pixel has a fit Probability greater than 0.0001
|
---|
751 | // 5) Pixel has a charge sigma bigger than its Pedestal RMS
|
---|
752 | //
|
---|
753 | Bool_t MCalibrationPix::CheckChargeValidity()
|
---|
754 | {
|
---|
755 |
|
---|
756 | if (!IsFitted())
|
---|
757 | return kFALSE;
|
---|
758 |
|
---|
759 | if (IsExcludeQualityCheck())
|
---|
760 | return kTRUE;
|
---|
761 |
|
---|
762 | Float_t pedestal;
|
---|
763 |
|
---|
764 | if (!IsHiGainSaturation()) /* higain */
|
---|
765 | pedestal = GetPedRms()*TMath::Sqrt(fNumHiGainSamples);
|
---|
766 | else /* logain */
|
---|
767 | pedestal = GetPedRms()*TMath::Sqrt(fNumLoGainSamples);
|
---|
768 |
|
---|
769 |
|
---|
770 | if (fCharge < gkChargeLimit*pedestal)
|
---|
771 | {
|
---|
772 | *fLog << warn << "WARNING: Fitted Charge is smaller than "
|
---|
773 | << gkChargeLimit << " Pedestal RMS in Pixel " << fPixId << endl;
|
---|
774 | return kFALSE;
|
---|
775 | }
|
---|
776 |
|
---|
777 | if (fErrCharge < gkChargeErrLimit)
|
---|
778 | {
|
---|
779 | *fLog << warn << "WARNING: Error of Fitted Charge is smaller than "
|
---|
780 | << gkChargeErrLimit << " in Pixel " << fPixId << endl;
|
---|
781 | return kFALSE;
|
---|
782 | }
|
---|
783 |
|
---|
784 | if (fCharge < gkChargeRelErrLimit*fErrCharge)
|
---|
785 | {
|
---|
786 | *fLog << warn << "WARNING: Fitted Charge is smaller than "
|
---|
787 | << gkChargeRelErrLimit << "* its error in Pixel " << fPixId << endl;
|
---|
788 | return kFALSE;
|
---|
789 | }
|
---|
790 |
|
---|
791 | if (!fHist->IsChargeFitOK())
|
---|
792 | {
|
---|
793 | *fLog << warn << "WARNING: Probability of Fitted Charge too low in Pixel "
|
---|
794 | << fPixId << endl;
|
---|
795 | return kFALSE;
|
---|
796 | }
|
---|
797 |
|
---|
798 | if (fSigmaCharge < pedestal)
|
---|
799 | {
|
---|
800 | *fLog << warn << "WARNING: Sigma of Fitted Charge smaller than Pedestal RMS in Pixel "
|
---|
801 | << fPixId << endl;
|
---|
802 | return kFALSE;
|
---|
803 | }
|
---|
804 | return kTRUE;
|
---|
805 | }
|
---|
806 |
|
---|
807 | //
|
---|
808 | // The check return kTRUE if:
|
---|
809 | //
|
---|
810 | // 0) No value is nan
|
---|
811 | // 1) Pixel has a fitted rel. time smaller than 3*FADC slices
|
---|
812 | // 2) Pixel has a fit error greater than 0.
|
---|
813 | // 4) Pixel has a fit Probability greater than 0.001
|
---|
814 | // 5) The absolute arrival time is at least 1.0 slices from the used edge slices
|
---|
815 | //
|
---|
816 | Bool_t MCalibrationPix::CheckTimeFitValidity()
|
---|
817 | {
|
---|
818 |
|
---|
819 |
|
---|
820 | if (IsExcludeQualityCheck())
|
---|
821 | return kTRUE;
|
---|
822 |
|
---|
823 | if (IsHiGainSaturation())
|
---|
824 | {
|
---|
825 |
|
---|
826 | if (fAbsTimeMean < (Float_t)fTimeFirstLoGain+1)
|
---|
827 | {
|
---|
828 | *fLog << warn
|
---|
829 | << "WARNING: Some absolute times smaller than limit in Pixel "
|
---|
830 | << fPixId << " time: " << fAbsTimeMean
|
---|
831 | << " Limit: " << (Float_t)fTimeFirstLoGain+1. << endl;
|
---|
832 | return kFALSE;
|
---|
833 | }
|
---|
834 |
|
---|
835 | if (fAbsTimeMean > (Float_t)fTimeLastLoGain-1)
|
---|
836 | {
|
---|
837 | *fLog << warn
|
---|
838 | << "WARNING: Some absolute times bigger than limit in Pixel "
|
---|
839 | << fPixId << " time: " << fAbsTimeMean
|
---|
840 | << " Limit: " << (Float_t)fTimeLastLoGain-1. << endl;
|
---|
841 | return kFALSE;
|
---|
842 | }
|
---|
843 |
|
---|
844 | }
|
---|
845 | else
|
---|
846 | {
|
---|
847 |
|
---|
848 | if (fAbsTimeMean < (Float_t)fTimeFirstHiGain+1.)
|
---|
849 | {
|
---|
850 | *fLog << warn
|
---|
851 | << "WARNING: Some absolute times smaller than limit in Pixel "
|
---|
852 | << fPixId << " time: " << fAbsTimeMean
|
---|
853 | << " Limit: " << (Float_t)fTimeFirstHiGain+1. << endl;
|
---|
854 | // return kFALSE;
|
---|
855 | }
|
---|
856 |
|
---|
857 | if (fAbsTimeMean > (Float_t)fTimeLastHiGain-1.)
|
---|
858 | {
|
---|
859 | *fLog << warn
|
---|
860 | << "WARNING: Some absolute times bigger than limit in Pixel "
|
---|
861 | << fPixId << " time: " << fAbsTimeMean
|
---|
862 | << " Limit: " << (Float_t)fTimeLastHiGain-1. << endl;
|
---|
863 | // return kFALSE;
|
---|
864 | }
|
---|
865 |
|
---|
866 | }
|
---|
867 |
|
---|
868 |
|
---|
869 |
|
---|
870 | return kTRUE;
|
---|
871 | }
|
---|
872 |
|
---|
873 |
|
---|
874 | void MCalibrationPix::CheckOscillations()
|
---|
875 | {
|
---|
876 | fHist->CheckOscillations();
|
---|
877 | }
|
---|
878 |
|
---|
879 | void MCalibrationPix::ApplyLoGainConversion()
|
---|
880 | {
|
---|
881 |
|
---|
882 | const Float_t chargeRelErrSquare = fErrCharge*fErrCharge
|
---|
883 | /( fCharge * fCharge);
|
---|
884 | const Float_t sigmaRelErrSquare = fErrSigmaCharge*fErrSigmaCharge
|
---|
885 | /( fSigmaCharge * fSigmaCharge);
|
---|
886 | const Float_t conversionRelErrSquare = fConversionHiLoError*fConversionHiLoError
|
---|
887 | /(fConversionHiLo * fConversionHiLo);
|
---|
888 |
|
---|
889 | fCharge *= fConversionHiLo;
|
---|
890 | fErrCharge = TMath::Sqrt(chargeRelErrSquare + conversionRelErrSquare) * fCharge;
|
---|
891 |
|
---|
892 | fSigmaCharge *= fConversionHiLo;
|
---|
893 | fErrSigmaCharge = TMath::Sqrt(sigmaRelErrSquare + conversionRelErrSquare) * fSigmaCharge;
|
---|
894 |
|
---|
895 | }
|
---|