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): Robert Wagner, 10/2002 <mailto:magicsoft@rwagner.de>
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19 | ! Author(s): Wolfgang Wittek, 01/2003 <mailto:wittek@mppmu.mpg.de>
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20 | ! Author(s): Thomas Bretz, 04/2003 <mailto:tbretz@astro.uni-wuerzburg.de>
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21 | !
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22 | ! Copyright: MAGIC Software Development, 2000-2003
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23 | !
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24 | !
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25 | \* ======================================================================== */
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26 |
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27 | /////////////////////////////////////////////////////////////////////////////
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28 | // //
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29 | // MPadding //
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30 | // (developped from MApplyPadding) //
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31 | // //
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32 | // This task applies padding to a given Sigmabar target value. //
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33 | // The task checks whether the data stream it is applied to has to be //
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34 | // padded or not and if so, Gaussian noise with the difference in Sigma //
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35 | // is produced and added to the particular event. The number of photons, //
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36 | // its error and the pedestal sigmas are altered. //
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37 | // //
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38 | // The padding has to be done before the image cleaning because the //
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39 | // image cleaning depends on the pedestal sigmas. //
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40 | // //
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41 | // There are several ways of defining the sigmabar value to which the //
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42 | // events are padded: //
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43 | // //
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44 | // 1) Set a fixed level (fFixedSigmabar) by calling 'SetTargetLevel'. //
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45 | // //
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46 | // 2) By calling 'SetDefiningHistogram', give a TH1D histogram //
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47 | // (fHSigmabarMax) which defines the Sigmabar as a function of Theta. //
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48 | // //
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49 | // 3) By calling 'SetSigmaThetaHist', give a TH2D histogram //
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50 | // (fHSigmaTheta) which contains the Sigmabar distribution for the //
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51 | // different bins in Theta. For a given event, the sigmabar value to //
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52 | // be used for the padding is thrown from this distribution. //
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53 | // //
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54 | // Workaround : //
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55 | // If none of these options is specified then PreProcess will try to read //
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56 | // in a propriety format ASCII database for the CT1 test. The name of //
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57 | // this file is set by 'SetDatabaseFile'. From the data in this file a //
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58 | // TH1D histogram (fHSigmabarMax) is generated. //
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59 | // //
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60 | // This implementation is still PRELIMINARY and requires some workarounds //
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61 | // put in SPECIFICALLY FOR THE CT1 TESTS, since a database to access is //
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62 | // missing. It is not the FINAL MAGIC VERSION. //
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63 | // //
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64 | // For random numbers gRandom is used. //
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65 | // //
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66 | /////////////////////////////////////////////////////////////////////////////
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67 | #include "MPadding.h"
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68 |
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69 | #include <stdio.h>
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70 |
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71 | #include <TH1.h>
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72 | #include <TH2.h>
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73 | #include <TH3.h>
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74 | #include <TRandom.h>
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75 | #include <TCanvas.h>
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76 | #include <TProfile.h>
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77 |
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78 | #include "MH.h"
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79 | #include "MBinning.h"
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80 |
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81 | #include "MSigmabar.h"
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82 |
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83 | #include "MMcEvt.hxx"
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84 |
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85 | #include "MParList.h"
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86 |
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87 | #include "MLog.h"
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88 | #include "MLogManip.h"
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89 |
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90 | #include "MGeomCam.h"
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91 |
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92 | #include "MCerPhotEvt.h"
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93 | #include "MCerPhotPix.h"
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94 |
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95 | #include "MPedPhotCam.h"
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96 | #include "MPedPhotPix.h"
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97 |
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98 | ClassImp(MPadding);
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99 |
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100 | using namespace std;
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101 |
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102 | // --------------------------------------------------------------------------
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103 | //
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104 | // Default constructor.
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105 | //
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106 | MPadding::MPadding(const char *name, const char *title)
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107 | : fRunType(0), fGroup(0), fFixedSigmabar(0), fHSigMaxAllocated(kFALSE), fHSigmabarMax(NULL), fHSigmaTheta(NULL)
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108 | {
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109 | fName = name ? name : "MPadding";
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110 | fTitle = title ? title : "Task for the padding";
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111 |
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112 | //--------------------------------------------------------------------
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113 | // plot pedestal sigmas for testing purposes
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114 | fHSigmaPedestal = new TH2D("SigPed", "Padded vs orig. sigma",
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115 | 100, 0.0, 5.0, 100, 0.0, 5.0);
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116 | fHSigmaPedestal->SetXTitle("Orig. Pedestal sigma");
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117 | fHSigmaPedestal->SetYTitle("Padded Pedestal sigma");
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118 |
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119 | // plot no.of photons (before vs. after padding) for testing purposes
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120 | fHPhotons = new TH2D("Photons", "Photons after vs.before padding",
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121 | 100, -10.0, 90.0, 100, -10, 90);
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122 | fHPhotons->SetXTitle("No.of photons before padding");
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123 | fHPhotons->SetYTitle("No.of photons after padding");
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124 |
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125 | // plot of added NSB
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126 | fHNSB = new TH1D("NSB", "Distribution of added NSB", 100, -10.0, 10.0);
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127 | fHNSB->SetXTitle("No.of added NSB photons");
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128 | fHNSB->SetYTitle("No.of pixels");
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129 |
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130 | fHSigmaOld = new TH2D;
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131 | fHSigmaOld->SetNameTitle("fHSigmaOld", "Sigma before padding");
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132 | fHSigmaOld->SetXTitle("Theta");
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133 | fHSigmaOld->SetYTitle("Sigma");
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134 |
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135 | fHSigmaNew = new TH2D;
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136 | fHSigmaNew->SetNameTitle("fHSigmaNew", "Sigma after padding");
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137 | fHSigmaNew->SetXTitle("Theta");
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138 | fHSigmaNew->SetYTitle("Sigma");
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139 | }
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140 |
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141 | // --------------------------------------------------------------------------
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142 | //
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143 | // Destructor.
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144 | //
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145 | MPadding::~MPadding()
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146 | {
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147 | delete fHSigmaPedestal;
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148 | delete fHPhotons;
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149 | delete fHNSB;
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150 | delete fHSigmaOld;
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151 | delete fHSigmaNew;
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152 | if (fHSigMaxAllocated && fHSigmabarMax)
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153 | delete fHSigmabarMax;
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154 | }
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155 |
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156 | // --------------------------------------------------------------------------
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157 | //
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158 | // You can provide a TH1D* histogram containing
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159 | // - the target Sigmabar in bins of theta.
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160 | // Be sure to use the same binning as for the analysis
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161 | //
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162 | Bool_t MPadding::SetDefiningHistogram(TH1D *histo)
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163 | {
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164 | if (fHSigmabarMax)
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165 | {
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166 | *fLog << warn << "MPadding - SigmabarMax already set.";
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167 | return kFALSE;
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168 | }
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169 |
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170 | fHSigmabarMax = histo;
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171 |
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172 | fFixedSigmabar = 0;
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173 | fHSigmaTheta = NULL;
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174 |
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175 | *fLog << inf << "MPadding - Use Defining Histogram.";
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176 |
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177 | return kTRUE;
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178 | }
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179 |
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180 | // --------------------------------------------------------------------------
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181 | //
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182 | // You can provide a TH2D* histogram containing
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183 | // - the Sigmabar distribution in bins of theta.
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184 | //
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185 | Bool_t MPadding::SetSigmaThetaHist(TH2D *histo)
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186 | {
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187 | if (fHSigmaTheta)
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188 | {
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189 | *fLog << warn << "MPadding - SigmaTheta already set.";
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190 | return kFALSE;
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191 | }
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192 |
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193 | fHSigmaTheta = histo;
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194 |
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195 | fFixedSigmabar = 0;
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196 | if (fHSigMaxAllocated)
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197 | {
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198 | fHSigMaxAllocated = kFALSE;
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199 | delete fHSigmabarMax;
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200 | }
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201 | fHSigmabarMax = NULL;
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202 |
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203 | *fLog << inf << "MPadding - Use Sigma Theta Histogram.";
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204 |
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205 | return kTRUE;
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206 | }
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207 |
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208 | // --------------------------------------------------------------------------
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209 | //
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210 | //
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211 | void MPadding::SetTargetLevel(Double_t sigmabar)
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212 | {
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213 | fFixedSigmabar = sigmabar;
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214 |
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215 | fHSigmaTheta = NULL;
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216 | if (fHSigMaxAllocated)
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217 | {
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218 | fHSigMaxAllocated = kFALSE;
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219 | delete fHSigmabarMax;
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220 | }
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221 | fHSigmabarMax = NULL;
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222 |
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223 | *fLog << inf << "MPadding - Use fixed sigmabar: fFixedSigmabar = ";
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224 | *fLog << fFixedSigmabar << endl;
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225 | }
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226 |
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227 | // --------------------------------------------------------------------------
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228 | //
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229 | // check if MEvtHeader exists in the Parameter list already.
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230 | // if not create one and add them to the list
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231 | //
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232 | Int_t MPadding::PreProcess(MParList *pList)
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233 | {
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234 | fMcEvt = (MMcEvt*)pList->FindObject("MMcEvt");
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235 | if (!fMcEvt)
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236 | {
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237 | *fLog << err << dbginf << "MMcEvt not found... aborting." << endl;
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238 | return kFALSE;
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239 | }
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240 |
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241 | fPed = (MPedPhotCam*)pList->FindObject("MPedPhotCam");
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242 | if (!fPed)
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243 | {
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244 | *fLog << err << dbginf << "MPedPhotCam not found... aborting." << endl;
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245 | return kFALSE;
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246 | }
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247 |
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248 | fCam = (MGeomCam*)pList->FindObject("MGeomCam");
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249 | if (!fCam)
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250 | {
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251 | *fLog << err << dbginf << "MGeomCam not found (no geometry information available)... aborting." << endl;
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252 | return kFALSE;
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253 | }
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254 |
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255 | fEvt = (MCerPhotEvt*)pList->FindObject("MCerPhotEvt");
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256 | if (!fEvt)
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257 | {
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258 | *fLog << err << dbginf << "MCerPhotEvt not found... aborting." << endl;
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259 | return kFALSE;
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260 | }
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261 |
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262 | fSigmabar = (MSigmabar*)pList->FindCreateObj("MSigmabar");
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263 | if (!fSigmabar)
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264 | {
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265 | *fLog << err << dbginf << "MSigmabar not found... aborting." << endl;
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266 | return kFALSE;
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267 | }
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268 |
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269 | // Get Theta Binning
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270 | MBinning* binstheta = (MBinning*)pList->FindObject("BinningTheta");
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271 | if (!binstheta)
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272 | {
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273 | *fLog << err << dbginf << "BinningTheta not found... aborting." << endl;
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274 | return kFALSE;
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275 | }
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276 |
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277 | // Get Sigma Binning
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278 | MBinning* binssigma = (MBinning*)pList->FindObject("BinningSigmabar");
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279 | if (!binssigma)
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280 | {
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281 | *fLog << err << dbginf << "BinningSigmabar not found... aborting." << endl;
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282 | return kFALSE;
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283 | }
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284 |
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285 | MH::SetBinning(fHSigmaOld, binstheta, binssigma);
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286 | MH::SetBinning(fHSigmaNew, binstheta, binssigma);
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287 |
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288 | //************************************************************************
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289 | // Create fSigmabarMax histogram
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290 | // (only if no fixed Sigmabar target value and no histogram have been
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291 | // provided)
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292 | //
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293 | if (fFixedSigmabar==0 && !fHSigmabarMax && !fHSigmaTheta)
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294 | {
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295 | *fLog << inf << "MPadding - Creating fSigmabarMax histogram: ";
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296 | *fLog << "fFixedSigmabar=" << fFixedSigmabar << ", ";
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297 | *fLog << "fHSigmabarMax = " << fHSigmabarMax << endl;
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298 |
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299 | // FIXME: Not deleted
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300 | fHSigmabarMax = new TH1D;
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301 | fHSigmabarMax->SetNameTitle("fHSigmabarMax", "Sigmabarmax for this analysis");
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302 |
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303 | fHSigMaxAllocated = kTRUE;
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304 |
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305 | MH::SetBinning(fHSigmabarMax, binstheta);
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306 |
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307 | // -------------------------------------------------
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308 | // read in SigmabarParams
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309 | // workaround--proprietary file format--CT1test only BEGIN
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310 | // -------------------------------------------------
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311 |
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312 | FILE *f=fopen(fDatabaseFilename, "r");
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313 | if(!f) {
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314 | *fLog << err << dbginf << "Database file '" << fDatabaseFilename;
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315 | *fLog << "' was not found (specified by MPadding::SetDatabaseFile) ...aborting." << endl;
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316 | return kFALSE;
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317 | }
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318 |
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319 | TAxis &axe = *fHSigmabarMax->GetXaxis();
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320 |
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321 | char line[80];
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322 | while ( fgets(line, sizeof(line), f) != NULL) {
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323 | if (line[0]=='#')
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324 | continue;
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325 |
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326 | Float_t sigmabarMin, sigmabarMax, thetaMin, thetaMax, ra, dec2;
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327 | Int_t type, group, mjd, nr;
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328 |
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329 | sscanf(line,"%d %d %f %f %d %d %f %f %f %f",
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330 | &type, &group, &ra, &dec2, &mjd, &nr,
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331 | &sigmabarMin, &sigmabarMax, &thetaMin, &thetaMax);
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332 |
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333 | if (group!=fGroup && type!=1) //selected ON group or OFF
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334 | continue;
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335 |
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336 | const Int_t from = axe.FindFixBin(thetaMin);
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337 | const Int_t to = axe.FindFixBin(thetaMax);
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338 |
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339 | // find out which bin(s) we have to look at
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340 | for (Int_t i=from; i<to+1; i++)
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341 | if (sigmabarMax > fHSigmabarMax->GetBinContent(i))
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342 | fHSigmabarMax->SetBinContent(i, sigmabarMax);
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343 | }//while
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344 |
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345 | } //fFixedSigmabar
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346 | //************************************************************************
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347 |
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348 | if (!fHSigmabarMax && !fHSigmaTheta && fFixedSigmabar==0)
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349 | {
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350 | *fLog << err << "ERROR: Sigmabar for padding not defined... aborting." << endl;
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351 | return kFALSE;
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352 | }
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353 |
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354 | return kTRUE;
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355 | }
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356 |
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357 | Double_t MPadding::CalcOtherSig(const Double_t mySig, const Double_t theta) const
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358 | {
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359 | //
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360 | // Get sigmabar which we have to pad to
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361 | //
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362 | const TAxis &axe = *fHSigmabarMax->GetXaxis();
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363 | const Int_t binnum = axe.FindFixBin(theta);
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364 | const Bool_t inrange = theta>=axe.GetXmin() && theta<=axe.GetXmax();
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365 |
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366 | if ((fHSigmabarMax || fHSigmaTheta) && !inrange)
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367 | {
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368 | *fLog << err << dbginf;
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369 | *fLog << "Theta of current event is beyond the limits, Theta = ";
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370 | *fLog << theta << " ...skipping." <<endl;
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371 | return -1;
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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 target sigma for the current Theta from the histogram fHSigmabarMax
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377 | //
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378 | if (fHSigmabarMax != NULL)
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379 | return fHSigmabarMax->GetBinContent(binnum);
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380 |
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381 | //
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382 | // for the current Theta,
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383 | // generate a sigma according to the histogram fHSigmaTheta
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384 | //
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385 | if (fHSigmaTheta != NULL)
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386 | {
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387 | Double_t otherSig = -1;
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388 |
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389 | TH1D* fHSigma = fHSigmaTheta->ProjectionY("", binnum, binnum, "");
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390 |
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391 | if (fHSigma->GetEntries()>0)
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392 | otherSig = fHSigma->GetRandom();
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393 |
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394 | delete fHSigma;
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395 |
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396 | return otherSig;
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397 | }
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398 |
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399 | //
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400 | // use a fixed target sigma
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401 | //
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402 | return fFixedSigmabar;
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403 | }
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404 |
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405 | // --------------------------------------------------------------------------
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406 | //
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407 | // Do the padding (mySig ==> otherSig)
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408 | //
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409 | Int_t MPadding::Padding(const Double_t quadraticDiff, const Double_t theta)
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410 | {
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411 | const UInt_t npix = fEvt->GetNumPixels();
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412 |
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413 | // pad only pixels - which are used (before image cleaning)
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414 | // - and for which the no.of photons is != 0.0
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415 | //
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416 | for (UInt_t i=0; i<npix; i++)
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417 | {
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418 | MCerPhotPix &pix = (*fEvt)[i];
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419 | if ( !pix.IsPixelUsed() )
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420 | continue;
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421 | /*
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422 | if ( pix.GetNumPhotons() == 0)
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423 | {
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424 | *fLog << "MPadding::Process(); no.of photons is 0 for used pixel"
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425 | << endl;
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426 | continue;
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427 | }
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428 | */
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429 | const Double_t area = fCam->GetPixRatio(pix.GetPixId());
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430 |
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431 | // add additional NSB to the number of photons
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432 | const Double_t NSB = sqrt(quadraticDiff*area) * gRandom->Gaus(0, 1);
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433 | const Double_t oldphotons = pix.GetNumPhotons();
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434 | const Double_t newphotons = oldphotons + NSB;
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435 | pix.SetNumPhotons( newphotons );
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436 |
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437 | fHNSB->Fill( NSB/sqrt(area) );
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438 | fHPhotons->Fill( newphotons/sqrt(area), oldphotons/sqrt(area) );
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439 |
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440 | // error: add sigma of padded noise quadratically
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441 | const Double_t olderror = pix.GetErrorPhot();
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442 | const Double_t newerror = sqrt( olderror*olderror + quadraticDiff*area );
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443 | pix.SetErrorPhot( newerror );
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444 |
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445 | MPedPhotPix &ppix = (*fPed)[i];
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446 |
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447 | ppix.SetRms(0);
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448 |
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449 | const Double_t oldsigma = ppix.GetRms();
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450 | const Double_t newsigma = sqrt( oldsigma*oldsigma + quadraticDiff*area );
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451 | ppix.SetRms( newsigma );
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452 |
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453 | fHSigmaPedestal->Fill( oldsigma, newsigma );
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---|
454 | fHSigmaOld->Fill( theta, oldsigma );
|
---|
455 | fHSigmaNew->Fill( theta, newsigma );
|
---|
456 | } //for
|
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457 |
|
---|
458 | return kTRUE;
|
---|
459 | }
|
---|
460 |
|
---|
461 |
|
---|
462 | // --------------------------------------------------------------------------
|
---|
463 | //
|
---|
464 | // Calculate Sigmabar for current event
|
---|
465 | // Then apply padding
|
---|
466 | //
|
---|
467 | // 1) have current event
|
---|
468 | // 2) get sigmabar(theta)
|
---|
469 | // 3) pad event
|
---|
470 | //
|
---|
471 | Int_t MPadding::Process()
|
---|
472 | {
|
---|
473 | const Double_t theta = kRad2Deg*fMcEvt->GetTelescopeTheta();
|
---|
474 |
|
---|
475 | //
|
---|
476 | // Calculate sigmabar of event
|
---|
477 | //
|
---|
478 | Double_t mySig = fSigmabar->Calc(*fCam, *fPed, *fEvt);
|
---|
479 |
|
---|
480 | //$$$$$$$$$$$$$$$$$$$$$$$$$$
|
---|
481 | mySig = 0.0; // FIXME?
|
---|
482 | //$$$$$$$$$$$$$$$$$$$$$$$$$$
|
---|
483 |
|
---|
484 | const Double_t otherSig = CalcOtherSig(mySig, theta);
|
---|
485 |
|
---|
486 | // Skip event if target sigma is zero
|
---|
487 | if (otherSig<=0)
|
---|
488 | return kCONTINUE;
|
---|
489 |
|
---|
490 | // Determine quadratic difference other-mine
|
---|
491 | const Double_t quadraticDiff = otherSig*otherSig - mySig*mySig;
|
---|
492 |
|
---|
493 | if (quadraticDiff < 0) {
|
---|
494 | *fLog << err << "ERROR - MPadding: Event has higher Sigmabar=" << mySig;
|
---|
495 | *fLog << " than Sigmabarmax=" << otherSig << " @ Theta =" << theta;
|
---|
496 | *fLog << " ...skipping." << endl;
|
---|
497 | return kCONTINUE; //skip
|
---|
498 | }
|
---|
499 |
|
---|
500 | if (quadraticDiff == 0)
|
---|
501 | return kTRUE; //no padding necessary.
|
---|
502 |
|
---|
503 | //
|
---|
504 | // quadratic difference is > 0, do the padding;
|
---|
505 | //
|
---|
506 | Padding(quadraticDiff, theta);
|
---|
507 |
|
---|
508 | // Calculate Sigmabar again and crosscheck
|
---|
509 | //mySig = fSigmabar->Calc(*fCam, *fPed, *fEvt);
|
---|
510 |
|
---|
511 | return kTRUE;
|
---|
512 | }
|
---|
513 |
|
---|
514 | // --------------------------------------------------------------------------
|
---|
515 | //
|
---|
516 | // Draws some histograms if IsGraphicalOutputEnabled
|
---|
517 | //
|
---|
518 | Bool_t MPadding::PostProcess()
|
---|
519 | {
|
---|
520 | if (!IsGraphicalOutputEnabled())
|
---|
521 | return kTRUE;
|
---|
522 |
|
---|
523 | TCanvas &c = *MH::MakeDefCanvas("Padding", "", 600, 900);
|
---|
524 | c.Divide(2,3);
|
---|
525 | gROOT->SetSelectedPad(NULL);
|
---|
526 |
|
---|
527 | if (fHSigmabarMax != NULL)
|
---|
528 | {
|
---|
529 | c.cd(1);
|
---|
530 | fHSigmabarMax->DrawClone();
|
---|
531 | }
|
---|
532 | else if (fHSigmaTheta != NULL)
|
---|
533 | {
|
---|
534 | c.cd(1);
|
---|
535 | fHSigmaTheta->DrawClone();
|
---|
536 | }
|
---|
537 |
|
---|
538 | c.cd(3);
|
---|
539 | fHSigmaPedestal->DrawClone();
|
---|
540 |
|
---|
541 | c.cd(5);
|
---|
542 | fHPhotons->DrawClone();
|
---|
543 |
|
---|
544 | c.cd(2);
|
---|
545 | fHNSB->DrawClone();
|
---|
546 |
|
---|
547 | c.cd(4);
|
---|
548 | fHSigmaOld->DrawClone();
|
---|
549 |
|
---|
550 | c.cd(6);
|
---|
551 | fHSigmaNew->DrawClone();
|
---|
552 |
|
---|
553 | return kTRUE;
|
---|
554 | }
|
---|