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 | // MCalibrationPix
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26 | //
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27 | // Base Storage container for a calibration pixel. Holds mean and sigmas,
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28 | // their errors, the fit probability and the number of pickup events for
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29 | // the high-gain and the low-gain derived values.
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30 | //
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31 | // Errors are stored internally as variances, but are returned and filled
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32 | // as square root of the variances.
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33 | //
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34 | // Calls to GetMean(), GetMeanErr(), GetSigma(), GetSigmaErr(), GetProb() or
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35 | // GetNumPickup() and GetNumBlackout() test first the bit kHiGainSaturation
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36 | // before returning the high-gain or low-gain value, analogue for the
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37 | // corr. Setters.
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38 | //
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39 | // The three flags: kValid, kExcluded and kHiGainSaturation may be set.
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40 | // The colors: kGREEN, kBLUE, kUV and kCT1 may be set.
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41 | //
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42 | /////////////////////////////////////////////////////////////////////////////
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43 | #include "MCalibrationPix.h"
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44 |
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45 | ClassImp(MCalibrationPix);
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46 |
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47 | using namespace std;
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48 |
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49 | // --------------------------------------------------------------------------
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50 | //
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51 | // Default Constructor:
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52 | //
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53 | // Sets:
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54 | // - fPixId to -1
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55 | // - fFlags to 0
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56 | //
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57 | // Calls:
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58 | // - Clear()
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59 | //
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60 | MCalibrationPix::MCalibrationPix(const char *name, const char *title)
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61 | : fPixId(-1),
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62 | fFlags(0)
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63 | {
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64 |
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65 | fName = name ? name : "MCalibrationPix";
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66 | fTitle = title ? title : "Container of the fit results of MHCalibrationPixs ";
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67 |
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68 | Clear();
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69 |
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70 | }
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71 |
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72 | // ------------------------------------------------------------------------
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73 | //
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74 | // Sets:
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75 | // - all variables to -1
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76 | // - all flags to kFALSE
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77 | //
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78 | void MCalibrationPix::Clear(Option_t *o)
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79 | {
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80 |
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81 | fHiGainNumBlackout = -1 ;
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82 | fHiGainNumPickup = -1 ;
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83 | fHiGainMean = -1.;
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84 | fHiGainMeanVar = -1.;
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85 | fHiGainProb = -1.;
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86 | fHiGainSigma = -1.;
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87 | fHiGainSigmaVar = -1.;
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88 |
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89 | fLoGainNumBlackout = -1 ;
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90 | fLoGainNumPickup = -1 ;
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91 | fLoGainMean = -1.;
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92 | fLoGainMeanVar = -1.;
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93 | fLoGainProb = -1.;
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94 | fLoGainSigma = -1.;
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95 | fLoGainSigmaVar = -1.;
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96 |
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97 | SetHiGainSaturation ( kFALSE );
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98 | SetExcluded ( kFALSE );
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99 | SetValid ( kFALSE );
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100 |
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101 | }
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102 |
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103 | // --------------------------------------------------------------------------
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104 | //
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105 | // Set the Hi Gain Saturation Bit from outside
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106 | //
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107 | void MCalibrationPix::SetHiGainSaturation(Bool_t b)
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108 | {
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109 | b ? SETBIT(fFlags, kHiGainSaturation) : CLRBIT(fFlags, kHiGainSaturation);
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110 | }
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111 |
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112 |
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113 | // --------------------------------------------------------------------------
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114 | //
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115 | // Set the Excluded Bit from outside
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116 | //
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117 | void MCalibrationPix::SetExcluded(Bool_t b )
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118 | {
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119 | b ? SETBIT(fFlags, kExcluded) : CLRBIT(fFlags, kExcluded);
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120 | }
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121 |
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122 | // --------------------------------------------------------------------------
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123 | //
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124 | // Set the Valid Bit from outside
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125 | //
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126 | void MCalibrationPix::SetValid(Bool_t b )
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127 | {
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128 | b ? SETBIT(fFlags, kValid) : CLRBIT(fFlags, kValid);
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129 | }
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130 |
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131 |
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132 | // --------------------------------------------------------------------------
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133 | //
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134 | // Return -1, if IsHiGainSaturation()
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135 | // Return -1, if the LoGain Mean is smaller than 0.5
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136 | // Return -1, if the HiGain Mean is -1. (has not yet been set)
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137 | // Return fHiGainMean / fLoGainMean
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138 | //
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139 | Float_t MCalibrationPix::GetHiLoMeansDivided() const
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140 | {
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141 |
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142 | if (IsHiGainSaturation())
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143 | return -1.;
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144 |
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145 | if (fLoGainMean <= 0.5)
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146 | return -1.;
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147 |
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148 | if (fHiGainMean == -1.)
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149 | return -1.;
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150 |
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151 | return fHiGainMean / fLoGainMean;
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152 |
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153 | }
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154 |
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155 | // ----------------------------------------------------------------------------------
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156 | //
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157 | // Return -1, if IsHiGainSaturation()
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158 | // Return -1, if the LoGain Mean or its variance is smaller than 0.5 (has not yet been set)
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159 | // Return -1, if the HiGain Mean or its variance is -1. (has not yet been set)
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160 | // Return propagated error of GetHiLoMeansDivided()
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161 | //
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162 | Float_t MCalibrationPix::GetHiLoMeansDividedErr() const
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163 | {
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164 |
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165 | if (IsHiGainSaturation())
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166 | return -1.;
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167 |
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168 | if (fLoGainMean <= 0.5)
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169 | return -1.;
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170 |
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171 | if (fHiGainMean == -1.)
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172 | return -1.;
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173 |
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174 | if (fLoGainMeanVar <= 0.)
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175 | return -1.;
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176 |
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177 | if (fHiGainMeanVar <= 0.)
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178 | return -1.;
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179 |
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180 | const Float_t lomeansquare = fLoGainMean * fLoGainMean;
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181 | const Float_t deltaHi = fHiGainMeanVar / lomeansquare;
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182 | const Float_t deltaLo = fLoGainMeanVar / (lomeansquare * lomeansquare) * fHiGainMean * fHiGainMean;
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183 |
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184 | return TMath::Sqrt(deltaHi + deltaLo);
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185 |
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186 | }
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187 |
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188 | // --------------------------------------------------------------------------
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189 | //
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190 | // Return -1, if IsHiGainSaturation()
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191 | // Return -1, if the LoGain Sigma is smaller than 0.01
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192 | // Return -1, if the HiGain Sigma is -1. (has not yet been set)
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193 | // Return fHiGainSigma / fLoGainSigma
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194 | //
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195 | Float_t MCalibrationPix::GetHiLoSigmasDivided() const
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196 | {
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197 |
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198 | if (IsHiGainSaturation())
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199 | return -1.;
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200 |
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201 | if (fLoGainSigma <= 0.01)
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202 | return -1.;
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203 |
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204 | if (fHiGainSigma == -1.)
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205 | return -1.;
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206 |
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207 | return fHiGainSigma / fLoGainSigma;
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208 |
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209 | }
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210 |
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211 | // ----------------------------------------------------------------------------------
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212 | //
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213 | // Return -1, if IsHiGainSaturation()
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214 | // Return -1, if the LoGain Sigma variance is smaller than 0.
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215 | // Return -1, if the LoGain Sigma is smaller than 0.01
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216 | // Return -1, if the HiGain Sigma or its variance is -1. (has not yet been set)
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217 | // Return propagated error of GetHiLoSigmasDivided()
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218 | //
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219 | Float_t MCalibrationPix::GetHiLoSigmasDividedErr() const
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220 | {
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221 |
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222 | if (IsHiGainSaturation())
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223 | return -1.;
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224 |
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225 | if (fLoGainSigma <= 0.01)
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226 | return -1.;
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227 |
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228 | if (fHiGainSigma == -1.)
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229 | return -1.;
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230 |
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231 | if (fLoGainSigmaVar <= 0.)
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232 | return -1.;
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233 |
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234 | if (fHiGainSigmaVar <= 0.)
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235 | return -1.;
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236 |
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237 | const Float_t losigmasquare = fLoGainSigma * fLoGainSigma;
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238 | const Float_t deltaHi = fHiGainSigmaVar / losigmasquare;
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239 | const Float_t deltaLo = fLoGainSigmaVar / (losigmasquare * losigmasquare) * fHiGainSigma * fHiGainSigma;
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240 |
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241 | return TMath::Sqrt(deltaHi + deltaLo);
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242 |
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243 | }
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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 | // Get the Relative Variance of either High Gain or Low Gain Mean
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249 | // depending on IsHighGainSaturation()
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250 | //
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251 | // If variance is smaller than 0. return -1.
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252 | //
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253 | Float_t MCalibrationPix::GetMeanRelVar() const
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254 | {
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255 |
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256 | if (IsHiGainSaturation())
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257 | if (fLoGainMeanVar < 0.)
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258 | return -1.;
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259 | else
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260 | return fLoGainMeanVar / (fLoGainMean * fLoGainMean);
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261 | else
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262 | if (fHiGainMeanVar < 0.)
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263 | return -1.;
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264 | else
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265 | return fHiGainMeanVar / (fHiGainMean * fHiGainMean);
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266 | }
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267 |
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268 | // --------------------------------------------------------------------------
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269 | //
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270 | // Get the Square of either High Gain or Low Gain Mean
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271 | // depending on IsHighGainSaturation()
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272 | //
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273 | Float_t MCalibrationPix::GetMeanSquare() const
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274 | {
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275 |
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276 | if (IsHiGainSaturation())
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277 | return fLoGainMean == -1. ? -1. : fLoGainMean * fLoGainMean;
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278 | else
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279 | return fHiGainMean == -1. ? -1. : fHiGainMean * fHiGainMean;
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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 | // Get the Relative Variance of either High Gain or Low Gain Sigma
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286 | // depending on IsHighGainSaturation()
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287 | //
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288 | // If variance is smaller than 0. return -1.
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289 | //
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290 | Float_t MCalibrationPix::GetSigmaRelVar() const
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291 | {
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292 |
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293 | if (IsHiGainSaturation())
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294 | if (fLoGainSigmaVar < 0.)
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295 | return -1.;
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296 | else
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297 | return fLoGainSigmaVar / (fLoGainSigma * fLoGainSigma);
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298 | else
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299 | if (fHiGainSigmaVar < 0.)
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300 | return -1.;
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301 | else
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302 | return fHiGainSigmaVar / (fHiGainSigma * fHiGainSigma);
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303 | }
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304 |
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305 | // --------------------------------------------------------------------------
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306 | //
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307 | // Get the High Gain Mean Error: Takes square root of fHiGainMeanVar
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308 | //
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309 | Float_t MCalibrationPix::GetHiGainMeanErr() const
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310 | {
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311 | if (fLoGainMeanVar < 0.)
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312 | return -1.;
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313 |
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314 | return TMath::Sqrt(fLoGainMeanVar);
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315 | }
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316 |
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317 |
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318 | // --------------------------------------------------------------------------
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319 | //
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320 | // Get the High Gain Sigma Error: Takes square root of fHiGainSigmaVar
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321 | //
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322 | Float_t MCalibrationPix::GetHiGainSigmaErr() const
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323 | {
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324 | if (fHiGainSigmaVar < 0.)
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325 | return -1.;
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326 |
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327 | return TMath::Sqrt(fHiGainSigmaVar);
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328 | }
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329 |
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330 | // --------------------------------------------------------------------------
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331 | //
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332 | // Get the Low Gain Mean Error: Takes square root of fLoGainMeanVar
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333 | //
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334 | Float_t MCalibrationPix::GetLoGainMeanErr() const
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335 | {
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336 | if (fLoGainMeanVar < 0.)
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337 | return -1.;
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338 |
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339 | return TMath::Sqrt(fLoGainMeanVar);
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340 | }
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341 |
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342 | // --------------------------------------------------------------------------
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343 | //
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344 | // Get the Low Gain Mean Rel Variance
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345 | //
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346 | Float_t MCalibrationPix::GetLoGainMeanRelVar() const
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347 | {
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348 | if (fLoGainMeanVar < 0.)
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349 | return -1.;
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350 | if (fLoGainMean == 0.)
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351 | return -1.;
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352 |
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353 | return fLoGainMeanVar / ( fLoGainMean * fLoGainMean);
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354 | }
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355 |
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356 | // --------------------------------------------------------------------------
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357 | //
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358 | // Get the Low Gain Sigma Error: Takes square root of fHiGainSigmaVar
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359 | //
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360 | Float_t MCalibrationPix::GetLoGainSigmaErr() const
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361 | {
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362 | if (fLoGainSigmaVar < 0.)
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363 | return -1.;
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364 |
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365 | return TMath::Sqrt(fLoGainSigmaVar);
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366 | }
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367 |
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368 | // --------------------------------------------------------------------------
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369 | //
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370 | // Test bit kHiGainSaturation
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371 | //
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372 | Bool_t MCalibrationPix::IsHiGainSaturation() const
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373 | {
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374 | return TESTBIT(fFlags,kHiGainSaturation);
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375 | }
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376 |
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377 | // --------------------------------------------------------------------------
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378 | //
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379 | // Test bit kExcluded
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380 | //
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381 | Bool_t MCalibrationPix::IsExcluded() const
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382 | {
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383 | return TESTBIT(fFlags,kExcluded);
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384 | }
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385 |
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386 | // --------------------------------------------------------------------------
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387 | //
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388 | // Test bit kValid
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389 | //
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390 | Bool_t MCalibrationPix::IsValid() const
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391 | {
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392 | return TESTBIT(fFlags,kValid);
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393 | }
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394 |
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