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, 9/2004 <mailto:tbretz@astro.uni-wuerzburg.de>
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19 | !
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20 | ! Copyright: MAGIC Software Development, 2000-2004
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21 | !
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22 | !
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23 | \* ======================================================================== */
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24 |
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25 | /////////////////////////////////////////////////////////////////////////////
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26 | //
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27 | // MJOptimizeCuts
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28 | //
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29 | // Class for otimizing the parameters of the supercuts
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30 | //
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31 | // Minimization Control
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32 | // ====================
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33 | //
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34 | // To choose the minimization algorithm use:
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35 | // void SetOptimizer(Optimizer_t o);
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36 | //
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37 | // Allowed options are:
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38 | // enum Optimizer_t
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39 | // {
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40 | // kMigrad, // Minimize by the method of Migrad
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41 | // kSimplex, // Minimize by the method of Simplex
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42 | // kMinimize, // Migrad + Simplex (if Migrad fails)
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43 | // kMinos, // Minos error determination
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44 | // kImprove, // Local minimum search
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45 | // kSeek, // Minimize by the method of Monte Carlo
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46 | // kNone // Skip optimization
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47 | // };
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48 | //
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49 | // For more details on the methods see TMinuit.
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50 | //
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51 | //
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52 | // You can change the behaviour of the minimization using
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53 | //
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54 | // void SetNumMaxCalls(UInt_t num=0);
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55 | // void SetTolerance(Float_t tol=0);
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56 | //
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57 | // While NumMaxCalls is the first, Tolerance the second arguement.
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58 | // For more details start root and type
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59 | //
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60 | // gMinuit->mnhelp("command")
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61 | //
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62 | // while command can be
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63 | // * MIGRAD
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64 | // * SIMPLEX
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65 | // * MINIMIZE
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66 | // * MINOS
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67 | // * IMPROVE
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68 | // * SEEK
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69 | //
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70 | // The default (num==0 and tol==0) should always give you the
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71 | // corresponding defaults used in Minuit.
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72 | //
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73 | //
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74 | // FIXME: Implement changing cut in hadronness...
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75 | // FIXME: Show MHSignificance on MStatusDisplay during filling...
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76 | // FIXME: Choose step-size percentage as static data membewr
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77 | // FIXME: Choose minimization method
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78 | //
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79 | /////////////////////////////////////////////////////////////////////////////
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80 | #include "MJOptimizeCuts.h"
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81 |
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82 | #include <TClass.h>
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83 |
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84 | #include "MHMatrix.h"
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85 |
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86 | // Environment
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87 | #include "MLog.h"
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88 | #include "MLogManip.h"
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89 | #include "MStatusDisplay.h"
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90 |
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91 | // Eventloop
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92 | #include "MReadTree.h"
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93 | #include "MParList.h"
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94 | #include "MTaskList.h"
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95 |
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96 | // Parameter container
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97 | #include "MGeomCamMagic.h"
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98 | #include "MParameters.h"
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99 | #include "MFilterList.h"
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100 |
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101 | // histograms
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102 | #include "../mhflux/MHAlpha.h"
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103 |
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104 | // Tasks
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105 | #include "MF.h"
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106 | #include "MFillH.h"
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107 | #include "MContinue.h"
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108 | #include "MMatrixLoop.h"
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109 |
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110 | #include "MFMagicCuts.h"
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111 |
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112 | ClassImp(MJOptimizeCuts);
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113 |
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114 | using namespace std;
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115 |
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116 | //------------------------------------------------------------------------
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117 | //
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118 | MHAlpha *MJOptimizeCuts::CreateNewHist(const char *name) const
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119 | {
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120 | TClass *cls = gROOT->GetClass(fNameHist);
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121 | if (!cls)
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122 | {
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123 | *fLog << err << "Class " << fNameHist << " not found in dictionary... abort." << endl;
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124 | return NULL;
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125 | }
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126 | if (!cls->InheritsFrom(MHAlpha::Class()))
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127 | {
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128 | *fLog << err << "Class " << fNameHist << " doesn't inherit from MHAlpha... abort." << endl;
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129 | return NULL;
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130 | }
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131 |
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132 | MHAlpha *h = (MHAlpha*)cls->New();
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133 | if (h && name)
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134 | h->SetName(name);
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135 |
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136 | return h;
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137 | }
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138 |
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139 | //------------------------------------------------------------------------
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140 | //
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141 | Bool_t MJOptimizeCuts::RunOnOffCore(MHAlpha &histon, MHAlpha &histof, const char *fname, MFilter *filter, MAlphaFitter *fit, const char *tree)
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142 | {
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143 | SetTitle(Form("OptimizeCuts: %s", fname));
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144 |
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145 | if (fDisplay)
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146 | fDisplay->SetTitle(fTitle);
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147 |
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148 | fLog->Separator("Preparing On/Off-optimization");
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149 |
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150 | MParList parlist;
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151 |
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152 | MGeomCamMagic geom; // For GetConvMm2Deg
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153 | parlist.AddToList(&geom);
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154 |
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155 | MHMatrix m("M");
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156 | AddRulesToMatrix(m);
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157 | parlist.AddToList(&m);
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158 |
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159 | const Int_t idxdatatype = m.AddColumn("DataType.fVal");
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160 |
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161 | histon.SkipHistTime();
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162 | histon.SkipHistTheta();
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163 | //histon.SkipHistEnergy();
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164 | histof.SkipHistTime();
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165 | histof.SkipHistTheta();
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166 | //histof.SkipHistEnergy();
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167 | histon.ForceUsingSize();
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168 | histof.ForceUsingSize();
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169 | histon.InitMapping(&m, 1);
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170 | histof.InitMapping(&m, 1);
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171 |
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172 | if (filter)
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173 | {
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174 | if (filter->InheritsFrom(MFMagicCuts::Class()))
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175 | ((MFMagicCuts*)filter)->InitMapping(&m);
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176 | else
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177 | {
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178 | *fLog << err << "ERROR - Currently only MFMagicCuts is supported." << endl;
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179 | return kFALSE;
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180 | }
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181 | }
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182 |
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183 | parlist.AddToList(&histon);
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184 | parlist.AddToList(&histof);
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185 |
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186 | if (fname)
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187 | {
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188 | MReadTree read(tree);
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189 | read.DisableAutoScheme(); // AutoScheme doesn't seem to be faster!
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190 | read.AddFile(fname);
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191 | if (!FillMatrix(read, parlist))
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192 | return kFALSE;
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193 | }
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194 | else
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195 | {
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196 | MParameterI par("DataType");
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197 | parlist.AddToList(&par);
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198 |
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199 | gLog.Separator("Reading On-Data");
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200 | par.SetVal(1);
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201 | MReadTree readon(tree);
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202 | readon.DisableAutoScheme(); // AutoScheme doesn't seem to be faster!
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203 | AddSequences(readon, fNamesOn);
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204 | if (!FillMatrix(readon, parlist))
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205 | return kFALSE;
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206 |
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207 | gLog.Separator("Reading Off-Data");
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208 | par.SetVal(0);
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209 | MReadTree readoff(tree);
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210 | readoff.DisableAutoScheme(); // AutoScheme doesn't seem to be faster!
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211 | AddSequences(readoff, fNamesOff);
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212 | if (!FillMatrix(readoff, parlist))
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213 | return kFALSE;
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214 | }
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215 |
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216 | MTaskList tasklist;
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217 | parlist.Replace(&tasklist);
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218 | if (fit)
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219 | parlist.AddToList(fit);
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220 |
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221 | MFilterList list;
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222 | SetupFilters(list, filter);
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223 |
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224 | MContinue contin(&list);
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225 | parlist.AddToList(&list);
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226 |
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227 | MFillH fillof(&histof, "", "FillHistOff");
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228 | MFillH fillon(&histon, "", "FillHistOn");
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229 |
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230 | MF f0(Form("M[%d]<0.5", idxdatatype), "FilterOffData");
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231 | MF f1(Form("M[%d]>0.5", idxdatatype), "FilterOnData");
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232 |
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233 | fillof.SetFilter(&f0);
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234 | fillon.SetFilter(&f1);
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235 |
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236 | MMatrixLoop loop(&m);
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237 |
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238 | tasklist.AddToList(&loop);
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239 | tasklist.AddToList(&list);
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240 | tasklist.AddToList(&contin);
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241 | tasklist.AddToList(&f0);
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242 | tasklist.AddToList(&f1);
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243 | tasklist.AddToList(&fillof);
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244 | tasklist.AddToList(&fillon);
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245 |
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246 | // Optimize with the tasklist in this parameterlist
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247 | if (!Optimize(parlist))
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248 | return kFALSE;
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249 |
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250 | *fLog << inf << "Finished processing of " << fname << endl;
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251 |
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252 | // Copy the result back to be accessible by the user
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253 | if (fit)
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254 | histon.GetAlphaFitter().Copy(*fit);
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255 |
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256 | // Print the result
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257 | histon.GetAlphaFitter().Print("result");
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258 |
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259 | // Store result if requested
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260 | TObjArray cont;
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261 | cont.Add(&contin);
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262 | return WriteContainer(cont, fNameOut);
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263 | }
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264 |
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265 | Bool_t MJOptimizeCuts::RunOnCore(MHAlpha &hist, const char *fname, MFilter *filter, MAlphaFitter *fit)
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266 | {
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267 | SetTitle(Form("OptimizeCuts: %s", fname));
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268 |
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269 | if (fDisplay)
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270 | fDisplay->SetTitle(fTitle);
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271 |
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272 | fLog->Separator("Preparing On-only-optimization");
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273 |
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274 | MParList parlist;
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275 |
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276 | MGeomCamMagic geom; // For GetConvMm2Deg
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277 | parlist.AddToList(&geom);
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278 |
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279 | MHMatrix m("M");
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280 | AddRulesToMatrix(m);
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281 | parlist.AddToList(&m);
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282 |
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283 | hist.SkipHistTime();
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284 | hist.SkipHistTheta();
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285 | hist.SkipHistEnergy();
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286 | hist.InitMapping(&m);
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287 |
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288 | if (filter && filter->InheritsFrom(MFMagicCuts::Class()))
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289 | ((MFMagicCuts*)filter)->InitMapping(&m);
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290 |
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291 | MReadTree read("Events");
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292 | read.DisableAutoScheme(); // AutoScheme doesn't seem to be faster!
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293 | if (fname)
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294 | read.AddFile(fname);
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295 | else
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296 | AddSequences(read, fNamesOn);
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297 | if (!FillMatrix(read, parlist))
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298 | return kFALSE;
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299 |
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300 | MTaskList tasklist;
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301 | parlist.Replace(&tasklist);
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302 | if (fit)
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303 | parlist.AddToList(fit);
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304 |
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305 | MFilterList list;
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306 | SetupFilters(list, filter);
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307 |
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308 | MContinue contin(&list);
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309 | parlist.AddToList(&list);
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310 |
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311 | MFillH fill(&hist);
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312 |
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313 | MMatrixLoop loop(&m);
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314 |
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315 | tasklist.AddToList(&loop);
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316 | tasklist.AddToList(&list);
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317 | tasklist.AddToList(&contin);
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318 | tasklist.AddToList(&fill);
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319 |
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320 | // Optimize with the tasklist in this parameterlist
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321 | if (!Optimize(parlist))
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322 | return kFALSE;
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323 |
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324 | *fLog << inf << "Finished processing of " << fname << endl;
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325 |
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326 | // Copy the result back to be accessible by the user
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327 | if (fit)
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328 | hist.GetAlphaFitter().Copy(*fit);
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329 | // Print the result
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330 | hist.GetAlphaFitter().Print("result");
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331 |
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332 | // Store result if requested
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333 | TObjArray cont;
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334 | cont.Add(&contin);
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335 | if (fDisplay)
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336 | cont.Add(fDisplay);
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337 | return WriteContainer(cont, fNameOut);
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338 | }
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339 |
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340 | //------------------------------------------------------------------------
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341 | //
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342 | Bool_t MJOptimizeCuts::RunOnOff(const char *fname, MFilter *filter, MAlphaFitter *fit, const char *tree)
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343 | {
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344 | MHAlpha *histon = CreateNewHist("Hist");
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345 | MHAlpha *histof = CreateNewHist("HistOff");
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346 |
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347 | if (!histon || !histof)
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348 | return kFALSE;
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349 |
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350 | const Bool_t rc = RunOnOffCore(*histon, *histof, fname, filter, fit, tree);
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351 |
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352 | delete histon;
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353 | delete histof;
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354 |
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355 | return rc;
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356 | }
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357 |
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358 | //------------------------------------------------------------------------
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359 | //
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360 | Bool_t MJOptimizeCuts::RunOn(const char *fname, MFilter *filter, MAlphaFitter *fit)
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361 | {
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362 | MHAlpha *histon = CreateNewHist();
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363 |
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364 | if (!histon)
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365 | return kFALSE;
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366 |
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367 | const Bool_t rc = RunOnCore(*histon, fname, filter, fit);
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368 |
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369 | delete histon;
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370 | return rc;
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371 | }
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