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): Javier Lopez 05/2001 (jlopez@ifae.es)
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19 | ! Thomas Bretz 06/2001 (tbretz@uni-sw.gwdg.de)
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20 | !
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21 | ! Copyright: MAGIC Software Development, 2000-2001
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22 | !
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23 | !
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24 | \* ======================================================================== */
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25 |
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26 | /////////////////////////////////////////////////////////////////////////////
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27 | // //
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28 | // MMcThresholdCalc //
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29 | // //
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30 | /////////////////////////////////////////////////////////////////////////////
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31 |
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32 | #include "MMcThresholdCalc.h"
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33 |
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34 | #include <math.h>
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35 |
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36 | #include "MParList.h"
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37 |
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38 | #include "MLog.h"
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39 | #include "MLogManip.h"
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40 |
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41 | #include "MMcEvt.hxx"
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42 | #include "MMcTrig.hxx"
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43 |
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44 | #include "MHMcEnergy.h"
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45 |
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46 | ClassImp(MMcThresholdCalc)
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47 |
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48 | MMcThresholdCalc::MMcThresholdCalc(const UInt_t dim, const char* name,
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49 | const char* title) : fDimension(dim)
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50 | {
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51 | *fName = name ? name : "MMcThresholdCalc";
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52 | *fTitle = title ? title : "Task to calculate the energy threshold from Monte Carlo";
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53 |
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54 | fMcTrig = new (MMcTrig*)[fDimension];
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55 | fHMcEnergy = new (MHMcEnergy*)[fDimension];
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56 | fMustDelete = new Bool_t[fDimension];
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57 |
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58 | for (unsigned int i=0; i<fDimension; i++)
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59 | fMustDelete=kFALSE;
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60 | }
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61 |
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62 | MMcThresholdCalc::~MMcThresholdCalc()
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63 | {
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64 | for (unsigned int i=0; i<fDimension; i++)
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65 | if (fMustDelete[i])
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66 | delete fHMcEnergy[i];
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67 |
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68 | delete fMcTrig;
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69 | delete fHMcEnergy;
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70 | delete fMustDelete;
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71 | }
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72 |
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73 | Bool_t MMcThresholdCalc::PreProcess(MParList* pList)
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74 | {
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75 | // connect Monte Carlo data with this task
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76 |
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77 | char auxname[15]="MMcTrig"; // string to write container names
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78 |
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79 | fMcEvt = (MMcEvt*)pList->FindObject("MMcEvt");
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80 | if (!fMcEvt)
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81 | {
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82 | *fLog << dbginf << "MMcEvt not found... aborting." << endl;
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83 | return kFALSE;
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84 | }
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85 |
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86 | for (unsigned int i=0; i<fDimension; i++)
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87 | {
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88 | if (fDimension>1)
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89 | sprintf(auxname+7, ";%i", i+1);
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90 |
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91 | fMcTrig[i] = (MMcTrig*)pList->FindObject(auxname);
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92 | if (fMcTrig[i])
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93 | continue;
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94 |
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95 | *fLog << dbginf << "'MMcTrig";
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96 | if (fDimension>1)
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97 | *fLog << ";" << i+1;
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98 | *fLog << "' not found... aborting." << endl;
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99 |
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100 | return kFALSE;
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101 | }
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102 |
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103 | strcpy(auxname, "MHMcEnergy");
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104 | for (unsigned int i=0; i<fDimension; i++)
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105 | {
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106 | if (fDimension>1)
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107 | sprintf(auxname+10, ";%i", i+1);
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108 |
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109 | fHMcEnergy[i] = (MHMcEnergy*)pList->FindObject(auxname);
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110 | if (fHMcEnergy[i])
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111 | continue;
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112 |
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113 | *fLog << dbginf << "'" << auxname << "' not found in list... creating." << endl;
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114 |
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115 | fHMcEnergy[i] = new MHMcEnergy(fDimension>1 ? i+1 : 0);
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116 | fMustDelete[i] = kTRUE;
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117 | pList->AddToList(fHMcEnergy[i]);
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118 | }
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119 |
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120 | return kTRUE;
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121 | }
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122 |
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123 | Bool_t MMcThresholdCalc::Process()
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124 | {
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125 | const Float_t energy = fMcEvt->GetEnergy();
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126 | const Float_t lg10 = log10(energy);
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127 | const Float_t reciproc = 1./energy;
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128 |
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129 | for (unsigned int i=0; i<fDimension; i++)
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130 | {
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131 | if (fMcTrig[i]->GetFirstLevel()<=0)
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132 | continue;
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133 |
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134 | fHMcEnergy[i]->Fill(lg10, reciproc);
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135 | }
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136 |
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137 | return kTRUE;
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138 | }
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139 |
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140 | Bool_t MMcThresholdCalc::PostProcess()
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141 | {
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142 | // fit the energy distribution to get the threshold
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143 |
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144 | const Float_t sqrt2 = sqrt(2);
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145 |
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146 | for (unsigned int i=0; i<fDimension; i++)
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147 | {
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148 | MHMcEnergy &h = *fHMcEnergy[i];
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149 |
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150 | const Float_t peak = h.GetGaussPeak();
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151 | const Float_t sigma = h.GetGaussSigma();
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152 |
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153 | h.Fit(1, 3);
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154 | h.Fit(peak - 2. *sigma, peak + 2. *sigma);
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155 | h.Fit(peak - sqrt2*sigma, peak + sqrt2*sigma);
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156 | }
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157 | return kTRUE;
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158 | }
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159 |
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