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): Thomas Bretz 11/2005 <mailto:tbretz@astro.uni-wuerzburg.de>
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19 | !
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20 | ! Copyright: MAGIC Software Development, 2005-2007
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21 | !
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22 | !
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23 | \* ======================================================================== */
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24 |
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25 | /////////////////////////////////////////////////////////////////////////////
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26 | //
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27 | // MJTrainDisp
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28 | //
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29 | //
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30 | // Example:
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31 | // --------
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32 | //
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33 | // // SequencesOn are used for training, SequencesOff for Testing
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34 | // MDataSet set("mctesttrain.txt");
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35 | // set.SetNumAnalysis(1); // Must have a number
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36 | // MJTrainDisp opt;
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37 | // //opt.SetDebug();
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38 | // opt.AddParameter("MHillas.fLength");
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39 | // opt.AddParameter("MHillas.fWidth");
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40 | // MStatusDisplay *d = new MStatusDisplay;
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41 | // opt.SetDisplay(d);
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42 | // opt.AddPreCut("MHillasSrc.fDCA*MGeomCam.fConvMm2Deg<0.3");
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43 | // opt.Train("rf-disp.root", set, 30000); // Number of train events
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44 | //
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45 | //
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46 | // Random Numbers:
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47 | // ---------------
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48 | // Use:
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49 | // if(gRandom)
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50 | // delete gRandom;
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51 | // gRandom = new TRandom3();
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52 | // in advance to change the random number generator.
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53 | //
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54 | ////////////////////////////////////////////////////////////////////////////
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55 | #include "MJTrainDisp.h"
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56 |
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57 | #include <TLine.h>
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58 | #include <TCanvas.h>
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59 |
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60 | #include "MHMatrix.h"
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61 |
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62 | #include "MLog.h"
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63 | #include "MLogManip.h"
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64 |
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65 | // tools
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66 | #include "MDataSet.h"
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67 | #include "MTFillMatrix.h"
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68 | #include "MChisqEval.h"
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69 | #include "MStatusDisplay.h"
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70 |
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71 | // eventloop
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72 | #include "MParList.h"
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73 | #include "MTaskList.h"
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74 | #include "MEvtLoop.h"
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75 |
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76 | // tasks
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77 | #include "MReadMarsFile.h"
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78 | #include "MContinue.h"
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79 | #include "MFillH.h"
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80 | #include "MRanForestCalc.h"
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81 | #include "MParameterCalc.h"
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82 |
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83 | // container
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84 | #include "MParameters.h"
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85 |
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86 | // histograms
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87 | #include "MBinning.h"
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88 | #include "MH3.h"
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89 | #include "MHThetaSq.h"
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90 |
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91 | // filter
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92 | #include "MFilterList.h"
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93 |
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94 | ClassImp(MJTrainDisp);
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95 |
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96 | using namespace std;
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97 |
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98 | const TString MJTrainDisp::fgTrainParameter = "MHillasSrc.fDist*MGeomCam.fConvMm2Deg";
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99 |
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100 | // --------------------------------------------------------------------------
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101 | //
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102 | // Display a result histogram either vs. size or energy
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103 | // FIXME: Could be moved into a new histogram class.
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104 | //
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105 | void MJTrainDisp::DisplayHist(TCanvas &c, Int_t i, MH3 &mh3) const
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106 | {
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107 | MH::SetPalette("pretty");
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108 |
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109 | TH1 &hist = *(TH1*)mh3.GetHist().Clone();
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110 | hist.SetBit(TH1::kNoStats);
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111 | hist.SetDirectory(0);
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112 |
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113 | TLine line;
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114 | line.SetLineStyle(kDashed);
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115 | line.SetLineWidth(1);
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116 |
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117 | c.cd(i);
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118 | gPad->SetBorderMode(0);
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119 | gPad->SetFrameBorderMode(0);
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120 | //gPad->SetFillColor(kWhite);
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121 | gPad->SetLogx();
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122 | gPad->SetGridx();
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123 | gPad->SetGridy();
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124 | //gPad->SetLeftMargin(0.12);
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125 | //gPad->SetRightMargin(0.12);
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126 |
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127 | for (int x=0; x<=hist.GetNbinsX(); x++)
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128 | {
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129 | Float_t n = 0;
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130 | for (int y=1; y<=2; y++)
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131 | n += hist.GetBinContent(x,y);
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132 |
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133 | if (n==0)
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134 | continue;
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135 |
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136 | for (int y=0; y<=hist.GetNbinsY(); y++)
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137 | hist.SetBinContent(x, y, 200*hist.GetBinContent(x,y)/n);
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138 | }
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139 |
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140 | hist.SetMaximum(100);
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141 | hist.DrawCopy("colz");
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142 |
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143 | line.DrawLine(10, 0.04, 31623, 0.04);
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144 |
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145 | c.cd(i+2);
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146 | gPad->SetBorderMode(0);
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147 | gPad->SetFrameBorderMode(0);
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148 | //gPad->SetFillColor(kWhite);
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149 | gPad->SetLogx();
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150 | gPad->SetGridx();
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151 | gPad->SetGridy();
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152 | //gPad->SetLeftMargin(0.12);
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153 | //gPad->SetRightMargin(0.12);
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154 |
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155 | for (int x=0; x<=hist.GetNbinsX(); x++)
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156 | {
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157 | Float_t n = 0;
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158 | for (int y=0; y<=hist.GetNbinsY(); y++)
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159 | n += hist.GetBinContent(x,y);
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160 |
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161 | if (n==0)
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162 | continue;
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163 |
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164 | for (int y=0; y<=hist.GetNbinsY(); y++)
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165 | hist.SetBinContent(x, y, 100*hist.GetBinContent(x,y)/n);
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166 | }
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167 |
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168 | hist.SetMaximum(25);
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169 | hist.DrawCopy("colz");
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170 |
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171 | line.DrawLine(10, 0.04, 31623, 0.04);
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172 | }
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173 |
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174 | // --------------------------------------------------------------------------
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175 | //
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176 | // Display the result histograms in a new tab.
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177 | //
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178 | void MJTrainDisp::DisplayResult(MH3 &hsize, MH3 &henergy)
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179 | {
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180 | TCanvas &c = fDisplay->AddTab("Disp");
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181 | c.Divide(2,2);
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182 |
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183 | DisplayHist(c, 1, hsize);
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184 | DisplayHist(c, 2, henergy);
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185 | }
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186 |
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187 | // --------------------------------------------------------------------------
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188 | //
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189 | // Run Disp optimization
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190 | //
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191 | Bool_t MJTrainDisp::Train(const char *out, const MDataSet &set, Int_t num)
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192 | {
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193 | SetTitle(Form("TrainDisp: %s", out));
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194 |
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195 | if (fDisplay)
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196 | fDisplay->SetTitle(fTitle);
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197 |
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198 | if (!set.IsValid())
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199 | {
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200 | *fLog << err << "ERROR - DataSet invalid!" << endl;
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201 | return kFALSE;
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202 | }
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203 |
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204 | if (!HasWritePermission(out))
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205 | return kFALSE;
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206 |
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207 | *fLog << inf;
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208 | fLog->Separator(GetDescriptor());
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209 |
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210 | // --------------------- Setup files --------------------
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211 | MReadMarsFile readtrn("Events");
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212 | MReadMarsFile readtst("Events");
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213 | readtrn.DisableAutoScheme();
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214 | readtst.DisableAutoScheme();
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215 |
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216 | if (!set.AddFilesOn(readtrn))
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217 | return kFALSE;
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218 | if (!set.AddFilesOff(readtst))
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219 | return kFALSE;
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220 |
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221 | // ----------------------- Setup Matrix ------------------
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222 | MHMatrix train("Train");
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223 | train.AddColumns(fRules);
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224 | if (fEnableWeights)
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225 | train.AddColumn("MWeight.fVal");
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226 | train.AddColumn(fTrainParameter);
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227 |
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228 | // ----------------------- Fill Matrix RF ----------------------
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229 | MTFillMatrix fill(fTitle);
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230 | fill.SetDisplay(fDisplay);
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231 | fill.SetLogStream(fLog);
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232 | fill.SetDestMatrix1(&train, num);
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233 | fill.SetReader(&readtrn);
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234 | fill.AddPreCuts(fPreCuts);
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235 | fill.AddPreCuts(fTrainCuts);
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236 | fill.AddPreTasks(fPreTasks);
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237 | fill.AddPostTasks(fPostTasks);
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238 | if (!fill.Process())
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239 | return kFALSE;
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240 |
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241 | // ------------------------ Train RF --------------------------
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242 | MRanForestCalc rf("TrainDisp", fTitle);
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243 | rf.SetNumTrees(fNumTrees);
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244 | rf.SetNdSize(fNdSize);
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245 | rf.SetNumTry(fNumTry);
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246 | rf.SetNumObsoleteVariables(1);
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247 | rf.SetLastDataColumnHasWeights(fEnableWeights);
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248 | rf.SetDisplay(fDisplay);
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249 | rf.SetLogStream(fLog);
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250 | rf.SetFileName(out);
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251 | rf.SetDebug(fDebug>1);
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252 | rf.SetNameOutput("Disp");
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253 |
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254 | /*
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255 | MBinning b(32, 10, 100000, "BinningEnergyEst", "log");
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256 |
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257 | if (!rf.TrainMultiRF(train, b.GetEdgesD())) // classification with one tree per bin
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258 | return;
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259 |
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260 | if (!rf.TrainSingleRF(train, b.GetEdgesD())) // classification into different bins
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261 | return;
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262 | */
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263 | if (!rf.TrainRegression(train)) // regression (best choice)
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264 | return kFALSE;
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265 |
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266 | // --------------------- Display result ----------------------
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267 |
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268 | gLog.Separator("Test");
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269 |
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270 | MH::SetPalette("pretty");
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271 |
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272 | MParList plist;
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273 | MTaskList tlist;
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274 | plist.AddToList(this);
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275 | plist.AddToList(&tlist);
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276 | //plist.AddToList(&b);
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277 |
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278 | MParameterD par("ThetaSquaredCut");
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279 | par.SetVal(0.2);
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280 | plist.AddToList(&par);
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281 |
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282 | MAlphaFitter fit;
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283 | fit.SetPolynomOrder(0);
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284 | fit.SetSignalFitMax(0.8);
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285 | fit.EnableBackgroundFit(kFALSE);
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286 | fit.SetSignalFunction(MAlphaFitter::kThetaSq);
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287 | fit.SetMinimizationStrategy(MAlphaFitter::kGaussSigma);
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288 | plist.AddToList(&fit);
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289 |
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290 | MFilterList list;
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291 | if (!list.AddToList(fPreCuts))
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292 | *fLog << err << "ERROR - Calling MFilterList::AddToList for fPreCuts failed!" << endl;
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293 | if (!list.AddToList(fTestCuts))
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294 | *fLog << err << "ERROR - Calling MFilterList::AddToList for fTestCuts failed!" << endl;
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295 |
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296 | MContinue cont(&list);
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297 | cont.SetInverted();
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298 |
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299 | MHThetaSq hist;
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300 | hist.SkipHistTime();
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301 | hist.SkipHistTheta();
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302 | hist.SkipHistEnergy();
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303 |
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304 | MFillH fillh(&hist, "", "FillThetaSq");
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305 |
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306 | // 0 = disp^2 - 2*disp*dist*cos(alpha) + dist^2
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307 |
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308 | // cos^2 -1 = - sin^2
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309 |
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310 | // disp = +dist* (cos(alpha) +/- sqrt(cos^2(alpha) - 1) )
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311 |
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312 | const char *rule = "(MHillasSrc.fDist*MGeomCam.fConvMm2Deg)^2 + (Disp.fVal)^2 - (2*MHillasSrc.fDist*MGeomCam.fConvMm2Deg*Disp.fVal*cos(MHillasSrc.fAlpha*kDeg2Rad))";
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313 |
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314 | MParameterCalc calcthetasq(rule, "MThetaSqCalc");
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315 | calcthetasq.SetNameParameter("ThetaSquared");
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316 |
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317 | MChisqEval eval;
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318 | eval.SetY1("sqrt(ThetaSquared.fVal)");
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319 |
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320 | MH3 hdisp1("MHillas.fSize", "ThetaSquared.fVal");
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321 | MH3 hdisp2("MMcEvt.fEnergy", "ThetaSquared.fVal");
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322 | hdisp1.SetTitle("\\vartheta distribution vs. Size:Size [phe]:\\vartheta [\\circ]");
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323 | hdisp2.SetTitle("\\vartheta distribution vs. Energy:Enerhy [GeV]:\\vartheta [\\circ]");
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324 |
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325 | MBinning binsx( 70, 10, 31623, "BinningMH3X", "log");
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326 | MBinning binsy( 75, 0, 0.3, "BinningMH3Y", "lin");
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327 |
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328 | plist.AddToList(&binsx);
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329 | plist.AddToList(&binsy);
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330 |
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331 | MFillH fillh2a(&hdisp1, "", "FillSize");
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332 | MFillH fillh2b(&hdisp2, "", "FillEnergy");
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333 | fillh2a.SetDrawOption("colz profx");
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334 | fillh2b.SetDrawOption("colz profx");
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335 | fillh2a.SetNameTab("Size");
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336 | fillh2b.SetNameTab("Energy");
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337 |
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338 | tlist.AddToList(&readtst);
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339 | tlist.AddToList(&cont);
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340 | tlist.AddToList(&rf);
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341 | tlist.AddToList(&calcthetasq);
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342 | tlist.AddToList(&fillh);
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343 | tlist.AddToList(&fillh2a);
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344 | tlist.AddToList(&fillh2b);
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345 | tlist.AddToList(&eval);
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346 |
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347 | MEvtLoop loop(fTitle);
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348 | loop.SetLogStream(fLog);
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349 | loop.SetDisplay(fDisplay);
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350 | loop.SetParList(&plist);
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351 | //if (!SetupEnv(loop))
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352 | // return kFALSE;
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353 |
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354 | if (!loop.Eventloop())
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355 | return kFALSE;
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356 |
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357 | // Print the result
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358 | *fLog << inf;
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359 | *fLog << "Rule: " << rule << endl;
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360 | *fLog << "Disp: " << fTrainParameter << endl;
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361 | hist.GetAlphaFitter().Print("result");
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362 |
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363 | DisplayResult(hdisp1, hdisp2);
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364 |
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365 | SetPathOut(out);
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366 | if (!WriteDisplay(0, "UPDATE"))
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367 | return kFALSE;
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368 |
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369 | return kTRUE;
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370 | }
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371 |
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372 | /*
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373 | #include "MParameterCalc.h"
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374 | #include "MHillasCalc.h"
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375 | #include "../mpointing/MSrcPosRndm.h"
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376 |
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377 | Bool_t MJTrainDisp::TrainGhostbuster(const char *out, const MDataSet &set, Int_t num)
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378 | {
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379 | SetTitle(Form("TrainGhostbuster: %s", out));
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380 |
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381 | if (fDisplay)
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382 | fDisplay->SetTitle(fTitle);
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383 |
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384 | if (!set.IsValid())
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385 | {
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386 | *fLog << err << "ERROR - DataSet invalid!" << endl;
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387 | return kFALSE;
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388 | }
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389 |
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390 | if (!HasWritePermission(out))
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391 | return kFALSE;
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392 |
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393 | *fLog << inf;
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394 | fLog->Separator(GetDescriptor());
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395 |
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396 | // --------------------- Setup files --------------------
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397 | MReadMarsFile readtrn("Events");
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398 | MReadMarsFile readtst("Events");
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399 | readtrn.DisableAutoScheme();
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400 | readtst.DisableAutoScheme();
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401 |
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402 | if (!set.AddFilesOn(readtrn))
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403 | return kFALSE;
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404 | if (!set.AddFilesOff(readtst))
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405 | return kFALSE;
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406 |
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407 | // ----------------------- Setup Matrix ------------------
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408 | MHMatrix train("Train");
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409 | train.AddColumns(fRules);
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410 | if (fEnableWeights)
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411 | train.AddColumn("MWeight.fVal");
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412 | train.AddColumn("sign(MHillasSrc.fCosDeltaAlpha)==sign(SignStore.fVal)");
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413 |
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414 | MParameterCalc calc("MHillasSrc.fCosDeltaAlpha", "SignStore");
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415 | calc.SetNameParameter("SignStore");
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416 |
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417 | MSrcPosRndm rndm;
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418 | rndm.SetRule(fTrainParameter);
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419 | //rndm.SetDistOfSource(120*3.37e-3);
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420 |
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421 | MHillasCalc hcalc;
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422 | hcalc.SetFlags(MHillasCalc::kCalcHillasSrc);
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423 |
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424 | // ----------------------- Fill Matrix RF ----------------------
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425 | MTFillMatrix fill(fTitle);
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426 | fill.SetDisplay(fDisplay);
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427 | fill.SetLogStream(fLog);
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428 | fill.SetDestMatrix1(&train, num);
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429 | fill.SetReader(&readtrn);
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430 | fill.AddPreCuts(fPreCuts);
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431 | fill.AddPreCuts(fTrainCuts);
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432 | fill.AddPreTasks(fPreTasks);
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433 | fill.AddPostTasks(fPostTasks);
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434 | fill.AddPostTask(&calc);
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435 | fill.AddPostTask(&rndm);
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436 | fill.AddPostTask(&hcalc);
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437 | if (!fill.Process())
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438 | return kFALSE;
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439 |
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440 | // ------------------------ Train RF --------------------------
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441 | MRanForestCalc rf("TrainGhostbuster", fTitle);
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442 | rf.SetNumTrees(fNumTrees);
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443 | rf.SetNdSize(fNdSize);
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444 | rf.SetNumTry(fNumTry);
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445 | rf.SetNumObsoleteVariables(1);
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446 | rf.SetLastDataColumnHasWeights(fEnableWeights);
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447 | rf.SetDisplay(fDisplay);
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448 | rf.SetLogStream(fLog);
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449 | rf.SetFileName(out);
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450 | rf.SetDebug(fDebug>1);
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451 | rf.SetNameOutput("Sign");
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452 |
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453 | if (!rf.TrainRegression(train)) // regression (best choice)
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454 | return kFALSE;
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455 |
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456 | // --------------------- Display result ----------------------
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457 |
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458 | gLog.Separator("Test");
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459 |
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460 | MH::SetPalette("pretty");
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461 |
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462 | MParList plist;
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463 | MTaskList tlist;
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464 | plist.AddToList(this);
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465 | plist.AddToList(&tlist);
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466 | //plist.AddToList(&b);
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467 |
|
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468 | MFilterList list;
|
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469 | if (!list.AddToList(fPreCuts))
|
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470 | *fLog << err << "ERROR - Calling MFilterList::AddToList for fPreCuts failed!" << endl;
|
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471 | if (!list.AddToList(fTestCuts))
|
---|
472 | *fLog << err << "ERROR - Calling MFilterList::AddToList for fTestCuts failed!" << endl;
|
---|
473 |
|
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474 | MContinue cont(&list);
|
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475 | cont.SetInverted();
|
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476 |
|
---|
477 | const char *rule = "abs(Sign.fVal-(sign(MHillasSrc.fCosDeltaAlpha)==sign(SignStore.fVal)))";
|
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478 |
|
---|
479 | //MChisqEval eval;
|
---|
480 | //eval.SetY1("sqrt(ThetaSquared.fVal)");
|
---|
481 |
|
---|
482 | MH3 hsign1("MHillas.fSize", rule);
|
---|
483 | MH3 hsign2("MMcEvt.fEnergy", rule);
|
---|
484 | hsign1.SetTitle("Was ist das? vs. Size:Size [phe]:XXX");
|
---|
485 | hsign2.SetTitle("Was ist das? vs. Energy:Enerhy [GeV]:XXXX");
|
---|
486 |
|
---|
487 | MBinning binsx( 70, 10, 31623, "BinningMH3X", "log");
|
---|
488 | MBinning binsy( 51, 0, 1, "BinningMH3Y", "lin");
|
---|
489 |
|
---|
490 | plist.AddToList(&binsx);
|
---|
491 | plist.AddToList(&binsy);
|
---|
492 |
|
---|
493 | MFillH fillh2a(&hsign1, "", "FillSize");
|
---|
494 | MFillH fillh2b(&hsign2, "", "FillEnergy");
|
---|
495 | fillh2a.SetDrawOption("profx colz");
|
---|
496 | fillh2b.SetDrawOption("profx colz");
|
---|
497 | fillh2a.SetNameTab("Size");
|
---|
498 | fillh2b.SetNameTab("Energy");
|
---|
499 |
|
---|
500 | tlist.AddToList(&readtst);
|
---|
501 | tlist.AddToList(&cont);
|
---|
502 | tlist.AddToList(&calc);
|
---|
503 | tlist.AddToList(&rndm);
|
---|
504 | tlist.AddToList(&hcalc);
|
---|
505 | tlist.AddToList(&rf);
|
---|
506 | tlist.AddToList(&fillh2a);
|
---|
507 | tlist.AddToList(&fillh2b);
|
---|
508 | //tlist.AddToList(&eval);
|
---|
509 |
|
---|
510 | MEvtLoop loop(fTitle);
|
---|
511 | loop.SetLogStream(fLog);
|
---|
512 | loop.SetDisplay(fDisplay);
|
---|
513 | loop.SetParList(&plist);
|
---|
514 | //if (!SetupEnv(loop))
|
---|
515 | // return kFALSE;
|
---|
516 |
|
---|
517 | if (!loop.Eventloop())
|
---|
518 | return kFALSE;
|
---|
519 |
|
---|
520 | // Print the result
|
---|
521 | *fLog << inf << "Rule: " << rule << endl;
|
---|
522 |
|
---|
523 | //DisplayResult(hdisp1, hdisp2);
|
---|
524 |
|
---|
525 | SetPathOut(out);
|
---|
526 | if (!WriteDisplay(0, "UPDATE"))
|
---|
527 | return kFALSE;
|
---|
528 |
|
---|
529 | return kTRUE;
|
---|
530 | }
|
---|
531 | */
|
---|