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 | fHiGainRms = -1.;
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87 | fHiGainSigma = -1.;
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88 | fHiGainSigmaVar = -1.;
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89 |
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90 | fLoGainNumBlackout = -1 ;
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91 | fLoGainNumPickup = -1 ;
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92 | fLoGainMean = -1.;
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93 | fLoGainMeanVar = -1.;
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94 | fLoGainProb = -1.;
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95 | fLoGainRms = -1.;
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96 | fLoGainSigma = -1.;
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97 | fLoGainSigmaVar = -1.;
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98 |
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99 | SetHiGainSaturation ( kFALSE );
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100 | SetExcluded ( kFALSE );
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101 | SetValid ( kFALSE );
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102 | SetDebug ( kFALSE );
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103 |
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104 | }
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105 |
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106 |
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107 | // -----------------------------------------------------
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108 | //
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109 | // copy 'constructor'
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110 | //
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111 | void MCalibrationPix::Copy(TObject& object) const
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112 | {
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113 |
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114 | MCalibrationPix &pix = (MCalibrationPix&)object;
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115 |
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116 | //
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117 | // Copy the data members
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118 | //
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119 | pix.fPixId = fPixId;
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120 | pix.fFlags = fFlags;
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121 | pix.fHiGainMean = fHiGainMean;
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122 | pix.fHiGainMeanVar = fHiGainMeanVar;
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123 | pix.fHiGainNumBlackout = fHiGainNumBlackout;
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124 | pix.fHiGainNumPickup = fHiGainNumPickup;
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125 | pix.fHiGainSigma = fHiGainSigma;
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126 | pix.fHiGainSigmaVar = fHiGainSigmaVar;
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127 | pix.fHiGainProb = fHiGainProb;
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128 | pix.fLoGainMean = fLoGainMean;
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129 | pix.fLoGainMeanVar = fLoGainMeanVar;
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130 | pix.fLoGainNumBlackout = fLoGainNumBlackout;
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131 | pix.fLoGainNumPickup = fLoGainNumPickup;
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132 | pix.fLoGainSigma = fLoGainSigma;
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133 | pix.fLoGainSigmaVar = fLoGainSigmaVar;
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134 | pix.fLoGainProb = fLoGainProb;
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135 |
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136 | }
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137 |
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138 |
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139 | // --------------------------------------------------------------------------
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140 | //
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141 | // Set the Hi Gain Saturation Bit from outside
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142 | //
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143 | void MCalibrationPix::SetHiGainSaturation(Bool_t b)
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144 | {
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145 | b ? SETBIT(fFlags, kHiGainSaturation) : CLRBIT(fFlags, kHiGainSaturation);
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146 | }
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147 |
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148 | // --------------------------------------------------------------------------
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149 | //
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150 | // Set the Valid Bit from outside
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151 | //
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152 | void MCalibrationPix::SetDebug(Bool_t b )
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153 | {
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154 | b ? SETBIT(fFlags, kDebug) : CLRBIT(fFlags, kDebug);
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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 | // Set the Excluded Bit from outside
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160 | //
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161 | void MCalibrationPix::SetExcluded(Bool_t b )
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162 | {
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163 | b ? SETBIT(fFlags, kExcluded) : CLRBIT(fFlags, kExcluded);
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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 | // Set the Valid Bit from outside
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169 | //
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170 | void MCalibrationPix::SetValid(Bool_t b )
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171 | {
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172 | b ? SETBIT(fFlags, kValid) : CLRBIT(fFlags, kValid);
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173 | }
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174 |
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175 |
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176 | // --------------------------------------------------------------------------
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177 | //
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178 | // Return -1, if IsHiGainSaturation()
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179 | // Return -1, if the LoGain Mean is smaller than 0.5
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180 | // Return -1, if the HiGain Mean is -1. (has not yet been set)
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181 | // Return fHiGainMean / fLoGainMean
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182 | //
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183 | Float_t MCalibrationPix::GetHiLoMeansDivided() const
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184 | {
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185 |
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186 | if (IsHiGainSaturation())
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187 | return -1.;
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188 |
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189 | if (fLoGainMean <= 0.5)
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190 | return -1.;
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191 |
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192 | if (fHiGainMean == -1.)
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193 | return -1.;
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194 |
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195 | return fHiGainMean / fLoGainMean;
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196 |
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197 | }
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198 |
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199 | // ----------------------------------------------------------------------------------
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200 | //
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201 | // Return -1, if IsHiGainSaturation()
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202 | // Return -1, if the LoGain Mean or its variance is smaller than 0.5 (has not yet been set)
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203 | // Return -1, if the HiGain Mean or its variance is -1. (has not yet been set)
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204 | // Return propagated error of GetHiLoMeansDivided()
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205 | //
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206 | Float_t MCalibrationPix::GetHiLoMeansDividedErr() const
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207 | {
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208 |
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209 | if (IsHiGainSaturation())
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210 | return -1.;
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211 |
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212 | if (fLoGainMean <= 0.5)
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213 | return -1.;
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214 |
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215 | if (fHiGainMean == -1.)
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216 | return -1.;
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217 |
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218 | if (fLoGainMeanVar <= 0.)
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219 | return -1.;
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220 |
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221 | if (fHiGainMeanVar <= 0.)
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222 | return -1.;
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223 |
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224 | const Float_t lomeansquare = fLoGainMean * fLoGainMean;
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225 | const Float_t deltaHi = fHiGainMeanVar / lomeansquare;
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226 | const Float_t deltaLo = fLoGainMeanVar / (lomeansquare * lomeansquare) * fHiGainMean * fHiGainMean;
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227 |
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228 | return TMath::Sqrt(deltaHi + deltaLo);
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229 |
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230 | }
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231 |
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232 | // --------------------------------------------------------------------------
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233 | //
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234 | // Return -1, if IsHiGainSaturation()
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235 | // Return -1, if the LoGain Sigma is smaller than 0.01
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236 | // Return -1, if the HiGain Sigma is -1. (has not yet been set)
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237 | // Return fHiGainSigma / fLoGainSigma
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238 | //
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239 | Float_t MCalibrationPix::GetHiLoSigmasDivided() const
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240 | {
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241 |
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242 | if (IsHiGainSaturation())
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243 | return -1.;
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244 |
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245 | if (fLoGainSigma <= 0.01)
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246 | return -1.;
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247 |
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248 | if (fHiGainSigma == -1.)
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249 | return -1.;
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250 |
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251 | return fHiGainSigma / fLoGainSigma;
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252 |
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253 | }
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254 |
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255 | // ----------------------------------------------------------------------------------
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256 | //
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257 | // Return -1, if IsHiGainSaturation()
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258 | // Return -1, if the LoGain Sigma variance is smaller than 0.
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259 | // Return -1, if the LoGain Sigma is smaller than 0.01
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260 | // Return -1, if the HiGain Sigma or its variance is -1. (has not yet been set)
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261 | // Return propagated error of GetHiLoSigmasDivided()
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262 | //
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263 | Float_t MCalibrationPix::GetHiLoSigmasDividedErr() const
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264 | {
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265 |
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266 | if (IsHiGainSaturation())
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267 | return -1.;
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268 |
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269 | if (fLoGainSigma <= 0.01)
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270 | return -1.;
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271 |
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272 | if (fHiGainSigma == -1.)
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273 | return -1.;
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274 |
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275 | if (fLoGainSigmaVar <= 0.)
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276 | return -1.;
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277 |
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278 | if (fHiGainSigmaVar <= 0.)
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279 | return -1.;
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280 |
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281 | const Float_t losigmasquare = fLoGainSigma * fLoGainSigma;
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282 | const Float_t deltaHi = fHiGainSigmaVar / losigmasquare;
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283 | const Float_t deltaLo = fLoGainSigmaVar / (losigmasquare * losigmasquare) * fHiGainSigma * fHiGainSigma;
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284 |
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285 | return TMath::Sqrt(deltaHi + deltaLo);
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286 |
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287 | }
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288 |
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289 |
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290 | // --------------------------------------------------------------------------
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291 | //
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292 | // Get the Relative Variance of either High Gain or Low Gain Mean
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293 | // depending on IsHighGainSaturation()
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294 | //
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295 | // If variance is smaller than 0. return -1.
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296 | //
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297 | Float_t MCalibrationPix::GetMeanRelVar() const
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298 | {
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299 |
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300 | if (IsHiGainSaturation())
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301 | if (fLoGainMeanVar < 0. || fLoGainMean < 0.)
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302 | return -1.;
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303 | else
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304 | return fLoGainMeanVar / (fLoGainMean * fLoGainMean);
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305 | else
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306 | if (fHiGainMeanVar < 0. || fHiGainMean < 0.)
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307 | return -1.;
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308 | else
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309 | return fHiGainMeanVar / (fHiGainMean * fHiGainMean);
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310 | }
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311 |
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312 | // --------------------------------------------------------------------------
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313 | //
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314 | // Get the Square of either High Gain or Low Gain Mean
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315 | // depending on IsHighGainSaturation()
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316 | //
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317 | Float_t MCalibrationPix::GetMeanSquare() const
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318 | {
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319 |
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320 | if (IsHiGainSaturation())
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321 | return fLoGainMean == -1. ? -1. : fLoGainMean * fLoGainMean;
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322 | else
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323 | return fHiGainMean == -1. ? -1. : fHiGainMean * fHiGainMean;
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324 | }
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325 |
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326 |
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327 | // --------------------------------------------------------------------------
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328 | //
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329 | // Get the Relative Variance of either High Gain or Low Gain Sigma
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330 | // depending on IsHighGainSaturation()
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331 | //
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332 | // If variance is smaller than 0. return -1.
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333 | //
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334 | Float_t MCalibrationPix::GetSigmaRelVar() const
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335 | {
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336 |
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337 | if (IsHiGainSaturation())
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338 | if (fLoGainSigmaVar < 0.)
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339 | return -1.;
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340 | else
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341 | return fLoGainSigmaVar / (fLoGainSigma * fLoGainSigma);
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342 | else
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343 | if (fHiGainSigmaVar < 0.)
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344 | return -1.;
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345 | else
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346 | return fHiGainSigmaVar / (fHiGainSigma * fHiGainSigma);
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347 | }
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348 |
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349 | // --------------------------------------------------------------------------
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350 | //
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351 | // Get the High Gain Mean Error: Takes square root of fHiGainMeanVar
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352 | //
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353 | Float_t MCalibrationPix::GetHiGainMeanErr() const
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354 | {
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355 | if (fHiGainMeanVar < 0.)
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356 | return -1.;
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357 |
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358 | return TMath::Sqrt(fHiGainMeanVar);
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359 | }
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360 |
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361 |
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362 | // --------------------------------------------------------------------------
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363 | //
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364 | // Get the High Gain Sigma Error: Takes square root of fHiGainSigmaVar
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365 | //
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366 | Float_t MCalibrationPix::GetHiGainSigmaErr() const
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367 | {
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368 | if (fHiGainSigmaVar < 0.)
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369 | return -1.;
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370 |
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371 | return TMath::Sqrt(fHiGainSigmaVar);
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372 | }
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373 |
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374 | // --------------------------------------------------------------------------
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375 | //
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376 | // Get the Low Gain Mean Error: Takes square root of fLoGainMeanVar
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377 | //
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378 | Float_t MCalibrationPix::GetLoGainMeanErr() const
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379 | {
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380 | if (fLoGainMeanVar < 0.)
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381 | return -1.;
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382 |
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383 | return TMath::Sqrt(fLoGainMeanVar);
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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 | // Get the Low Gain Mean Rel Variance
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389 | //
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390 | Float_t MCalibrationPix::GetLoGainMeanRelVar() const
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391 | {
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392 | if (fLoGainMeanVar < 0.)
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393 | return -1.;
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394 | if (fLoGainMean == 0.)
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395 | return -1.;
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396 |
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397 | return fLoGainMeanVar / ( fLoGainMean * fLoGainMean);
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398 | }
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399 |
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400 | // --------------------------------------------------------------------------
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401 | //
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402 | // Get the High Gain Mean Rel Variance
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403 | //
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404 | Float_t MCalibrationPix::GetHiGainMeanRelVar() const
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405 | {
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406 | if (fHiGainMeanVar < 0.)
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407 | return -1.;
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408 | if (fHiGainMean == 0.)
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409 | return -1.;
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410 |
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411 | return fHiGainMeanVar / ( fHiGainMean * fHiGainMean);
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412 | }
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413 |
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414 | // --------------------------------------------------------------------------
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415 | //
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416 | // Get the Low Gain Sigma Error: Takes square root of fHiGainSigmaVar
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417 | //
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418 | Float_t MCalibrationPix::GetLoGainSigmaErr() const
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419 | {
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420 | if (fLoGainSigmaVar < 0.)
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421 | return -1.;
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422 |
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423 | return TMath::Sqrt(fLoGainSigmaVar);
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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 | // Test bit kHiGainSaturation
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429 | //
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430 | Bool_t MCalibrationPix::IsHiGainSaturation() const
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431 | {
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432 | return TESTBIT(fFlags,kHiGainSaturation);
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433 | }
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434 |
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435 | // --------------------------------------------------------------------------
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436 | //
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437 | // Test bit kDebug
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438 | //
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439 | Bool_t MCalibrationPix::IsDebug() const
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440 | {
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441 | return TESTBIT(fFlags,kDebug);
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442 | }
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443 |
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444 | // --------------------------------------------------------------------------
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445 | //
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446 | // Test bit kExcluded
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447 | //
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448 | Bool_t MCalibrationPix::IsExcluded() const
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449 | {
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450 | return TESTBIT(fFlags,kExcluded);
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451 | }
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452 |
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453 | // --------------------------------------------------------------------------
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454 | //
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455 | // Test bit kValid
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456 | //
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457 | Bool_t MCalibrationPix::IsValid() const
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458 | {
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459 | return TESTBIT(fFlags,kValid);
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460 | }
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461 |
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