| 1 | //************************************************************************
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| 2 | //
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| 3 | // Authors : Eva Domingo, 12/2004 <mailto:domingo@ifae.es>
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| 4 | // Wolfgang Wittek, 12/2004 <mailto:wittek@mpppmu.mpg.de>
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| 5 | //
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| 6 | //
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| 7 | // Macro for estimating the DISP parameter
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| 8 | // ---------------------------------------
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| 9 | //
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| 10 | // DISP is the distance between the center of gravity of the shower image
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| 11 | // and the estimated source position, assumed to lie on the major
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| 12 | // axis of the shower
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| 13 | //
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| 14 | // In order to get an estimate of DISP
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| 15 | // - one assumes a parametrization DISP = f(p[0],p[1],p[2],... ; s1,s2,s3,...)
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| 16 | // where s1,s2,s3,... are measurable quantities like
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| 17 | // image parameters, (theta, phi), etc.
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| 18 | // and p[0],p[1],p[2], ... are free parameters
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| 19 | //
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| 20 | // - and determines the free parameters p[0],p[1],p[2]... from MC gamma data
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| 21 | // by minimizing a parameter which measures the deviation of the estimated
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| 22 | // source position (using DISP) and the true source position
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| 23 | //
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| 24 | // The following classes are used :
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| 25 | //
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| 26 | // MDispParameters container holding the parameters p[0],p[1],p[2],...
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| 27 | //
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| 28 | // MDispCalc task calculating DISP with the parameters stored in
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| 29 | // MDispParameters
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| 30 | //
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| 31 | // ::Calc member function where the DISP parameterization is
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| 32 | // defined. It calculates DISP for a given event;
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| 33 | // it is called by MDispCalc::Process()
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| 34 | //
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| 35 | // MFindDisp class with several functions :
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| 36 | //
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| 37 | // ::DefineTrainMatrix \ member functions which generate the training
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| 38 | // ::DefineTestMatrix | and test samples (in the form of matrices)
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| 39 | // ::DefineTrainTestMatrix / from the MC gamma data
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| 40 | //
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| 41 | // ::FindParams member function steering the minimization
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| 42 | // (definition of the fcn function for Minuit, setting up the
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| 43 | // event loop to be executed in each minimization step,
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| 44 | // call to Minuit);
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| 45 | // for the minimization the training matrices are used
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| 46 | //
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| 47 | // ::TestParams member function testing the quality of the DISP estimate;
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| 48 | // for the test the test matrices are used
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| 49 | //
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| 50 | // MHDisp container for histograms which are useful for judging
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| 51 | // the quality of the DISP estimate
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| 52 | // Also task calculating the Minimization parameter
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| 53 | // contribution of an event (in Fill())
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| 54 | // and computing the final Minimization parameter of the
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| 55 | // whole event sample (in Finalize())
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| 56 | //
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| 57 | // MFDisp filter to select sample for the optimization
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| 58 | //
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| 59 | //
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| 60 | // The classes are stored in the CVS directory Mars/mtemp/mifae/library
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| 61 | // and Mars/mtemp/mifae/macros
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| 62 | //
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| 63 | //
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| 64 | //************************************************************************
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| 65 |
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| 66 | void OptimizeDisp()
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| 67 | {
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| 68 | //************************************************************************
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| 69 |
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| 70 | Bool_t CMatrix = kFALSE; // Create training and test matrices
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| 71 | Bool_t WOptimize = kFALSE; // Do optimization using the training sample
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| 72 | // and write Disp parameter values
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| 73 | // onto the file parDispfile
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| 74 | // Optimize Disp with :
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| 75 | //TString typeOpt = "Data";
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| 76 | TString typeOpt = "MC";
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| 77 | Bool_t RTest = kFALSE; // Test the quality of the Disp estimate
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| 78 | // using the test matrix
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| 79 | Bool_t WDisp = kTRUE; // Make Disp plots for the data of type :
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| 80 | //TString typeInput = "ON";
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| 81 | //TString typeInput = "OFF";
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| 82 | TString typeInput = "MC";
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| 83 |
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| 84 | //************************************************************************
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| 85 |
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| 86 | gLog.SetNoColors();
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| 87 |
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| 88 | if (gRandom)
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| 89 | delete gRandom;
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| 90 | gRandom = new TRandom3(0);
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| 91 |
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| 92 | //-----------------------------------------------
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| 93 | //names of files to be read for generating the training and test matrices
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| 94 | const char *filetrain = "...";
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| 95 | const char *filetest = "...";
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| 96 |
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| 97 | //-----------------------------------------------
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| 98 | // path for input for Mars
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| 99 | TString inPathON =
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| 100 | "/home/pcmagic14/wittek/CalibData/CrabLow42/2004_10_16/";
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| 101 | TString inPathOFF =
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| 102 | "/home/pcmagic14/wittek/CalibData/CrabLow42/2004_10_17/";
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| 103 | TString inPathMC =
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| 104 | //"/discpepe/root_0.73mirror/wuerzburg/";
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| 105 | "~domingo/MAGIC/Disp05/";
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| 106 |
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| 107 | // path for output from Mars
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| 108 | TString outPath = "~domingo/MAGIC/Disp05/DispOptimization/";
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| 109 |
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| 110 | //-----------------------------------------------
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| 111 | // names of files for which Disp plots should be made
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| 112 | const char *offfile = "*OffCrabLow42*";
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| 113 | const char *onfile = "*CrabLowEn42*";
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| 114 | const char *mcfile = "All_gammas0.73wuerzburg_zbin0to12_cleaned_3020_PeakSearch6_RunHeaders";
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| 115 | //-----------------------------------------------
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| 116 |
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| 117 |
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| 118 | //---------------------------------------------------------------------
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| 119 | gLog << "=====================================================" << endl;
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| 120 | gLog << "Macro OptimizeDisp : Start " << endl;
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| 121 |
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| 122 | gLog << "" << endl;
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| 123 | gLog << "Macro OptimizeDisp : CMatrix, WOptimize, RTest, WDisp = "
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| 124 | << (CMatrix ? "kTRUE" : "kFALSE") << ", "
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| 125 | << (WOptimize ? "kTRUE" : "kFALSE") << ", "
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| 126 | << (RTest ? "kTRUE" : "kFALSE") << ", "
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| 127 | << (WDisp ? "kTRUE" : "kFALSE") << endl;
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| 128 |
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| 129 |
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| 130 | //--------------------------------------------
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| 131 | // files to contain the matrices (generated from filenameTrain and
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| 132 | // filenameTest)
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| 133 | //
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| 134 | // for the training
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| 135 | TString fileMatrixTrain = outPath;
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| 136 | fileMatrixTrain += "MatrixTrainDisp";
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| 137 | fileMatrixTrain += ".root";
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| 138 | gLog << "" << endl;
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| 139 | gLog << "Files containing the Training and Test matrices :" << endl;
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| 140 | gLog << " fileMatrixTrain = " << fileMatrixTrain << endl;
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| 141 |
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| 142 | // for testing
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| 143 | TString fileMatrixTest = outPath;
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| 144 | fileMatrixTest += "MatrixTestDisp";
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| 145 | fileMatrixTest += ".root";
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| 146 | gLog << " fileMatrixTest = " << fileMatrixTest << endl;
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| 147 | gLog << "" << endl;
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| 148 |
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| 149 |
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| 150 | //---------------
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| 151 | // file to contain the optimum Disp parameter values
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| 152 | TString parDispFile = outPath;
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| 153 | // parDispFile += "parDispMC.root";
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| 154 | parDispFile += "parDispMC_withcuts.root";
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| 155 |
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| 156 | gLog << "" << endl;
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| 157 | gLog << "File containing the optimum Disp parameter values : parDispFile = "
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| 158 | << parDispFile << endl;
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| 159 |
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| 160 |
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| 161 | // Set the filter cuts to select a sample of events for the Disp optimization
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| 162 | // (islandsmin,islandsmax,usedpixelsmin,usedpixelsmax,corepixelsmin,
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| 163 | // corepixelsmax,sizemin,sizemax,leakage1min,leakage1max,leakage2min,
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| 164 | // leakage2max,lengthmin,widthmin);
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| 165 | MFDisp *fdisp = NULL;
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| 166 | fdisp = new MFDisp;
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| 167 | fdisp->SetCuts(0,2,7,600,0,600,0.,3000.,0.,0.,0.,0.,0.,0.);
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| 168 | fdisp->SetName("FilterSelector2");
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| 169 |
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| 170 |
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| 171 | // Create the MFindDisp object and set the file to store optimium Disp parameters
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| 172 | MFindDisp finddisp(fdisp);
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| 173 | finddisp.SetFilenameParam(parDispFile);
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| 174 |
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| 175 |
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| 176 |
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| 177 | //======================================================================
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| 178 | // Create matrices and write them onto files
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| 179 | //======================================================================
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| 180 |
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| 181 | if (CMatrix)
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| 182 | {
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| 183 | gLog << "-----------------------------------------------------" << endl;
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| 184 | gLog << "Generate the training and test samples" << endl;
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| 185 |
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| 186 | //--------------------------------------------
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| 187 | // files to be read for optimizing the Disp parameters
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| 188 | //
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| 189 | // for the training
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| 190 | TString filenameTrain = inPathMC;
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| 191 | filenameTrain += mcfile;
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| 192 | filenameTrain += ".root";
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| 193 | Int_t howManyTrain = 30000;
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| 194 | gLog << "filenameTrain = " << filenameTrain << ", howManyTrain = "
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| 195 | << howManyTrain << endl;
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| 196 |
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| 197 | // for testing
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| 198 | TString filenameTest = inPathMC;
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| 199 | filenameTest += mcfile;
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| 200 | filenameTest += ".root";
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| 201 | Int_t howManyTest = 30000;
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| 202 | gLog << "filenameTest = " << filenameTest << ", howManyTest = "
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| 203 | << howManyTest << endl;
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| 204 |
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| 205 |
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| 206 | //--------------------------------------------
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| 207 | // For the events in the matrices define requested distribution
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| 208 | // in some quantities; this may be a 1-dim, 2-dim or 3-dim distribution
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| 209 |
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| 210 | /*
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| 211 | // Define the cos(theta) distribution
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| 212 | TString mname("costheta");
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| 213 | MBinning bincost("Binning"+mname);
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| 214 | bincost.SetEdges(10, 0., 1.0);
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| 215 |
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| 216 | //MH3 mh3("cos((MPointingPos.fZd)/kRad2Deg)");
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| 217 | MH3 mh3("cos(MMcEvt.fTelescopeTheta)");
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| 218 | mh3.SetName(mname);
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| 219 | MH::SetBinning(&mh3.GetHist(), &bincost);
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| 220 |
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| 221 | for (Int_t i=1; i<=mh3.GetNbins(); i++)
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| 222 | mh3.GetHist().SetBinContent(i, 1.0);
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| 223 | */
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| 224 |
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| 225 | // Define the log10(Etrue) distribution
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| 226 | TString mh3name("log10Etrue");
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| 227 | MBinning binslogE("Binning"+mh3name);
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| 228 | binslogE.SetEdges(50, 1., 3.);
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| 229 |
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| 230 | MH3 mh3("log10(MMcEvt.fEnergy)");
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| 231 | mh3.SetName(mh3name);
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| 232 | MH::SetBinning(&mh3.GetHist(), &binslogE);
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| 233 |
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| 234 | // Flat energy distribution
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| 235 | // for (Int_t i=1; i<=mh3.GetNbins(); i++)
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| 236 | // mh3.GetHist().SetBinContent(i, 1.0);
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| 237 |
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| 238 | // Power law energy distribution
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| 239 | // for (Int_t i=1; i<=mh3.GetNbins(); i++)
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| 240 | // {
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| 241 | // Double_t weight = pow((Double_t)i, -1.7);
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| 242 | // mh3.GetHist().SetBinContent(i, weight);
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| 243 | // }
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| 244 |
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| 245 | /*
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| 246 | // define the 'cos(Theta) vs. log10(Etrue)' distribution
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| 247 | TString mh3name("cosThetaVslog10Etrue");
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| 248 | MBinning binslogE("Binning"+mh3name+"X");
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| 249 | binslogE.SetEdges(18, 1.5, 2.2);
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| 250 | MBinning binscost("Binning"+mh3name+"Y");
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| 251 | binscost.SetEdges(10, 0., 1.0);
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| 252 |
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| 253 | // MH3 mh3("log10(MMcEvt.fEnergy)", "cos((MPointingPos.fZd)/kRad2Deg)");
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| 254 | MH3 mh3("log10(MMcEvt.fEnergy)", "cos(MMcEvt.fTelescopeTheta)");
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| 255 | mh3.SetName(mh3name);
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| 256 | MH::SetBinning((TH2*)&mh3.GetHist(), &binslogE, &binscost);
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| 257 |
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| 258 | for (Int_t i=1; i<=((TH2*)mh3.GetHist()).GetNbinsX(); i++)
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| 259 | {
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| 260 | // Double_t weight = pow((Double_t)i, -1.7);
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| 261 | for (Int_t j=1; j<=((TH2*)mh3.GetHist()).GetNbinsY(); j++)
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| 262 | {
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| 263 | // mh3.GetHist().SetBinContent(i, j, weight);
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| 264 | mh3.GetHist().SetBinContent(i, j, 1.);
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| 265 | }
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| 266 | }
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| 267 | */
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| 268 |
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| 269 | //--------------------------
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| 270 | // Training and test samples are generated from the same input files
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| 271 | if (filenameTrain == filenameTest)
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| 272 | {
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| 273 | if ( !finddisp.DefineTrainTestMatrix(
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| 274 | filenameTrain, mh3,
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| 275 | howManyTrain, howManyTest,
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| 276 | fileMatrixTrain, fileMatrixTest, 0) )
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| 277 | {
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| 278 | *fLog << "OptimizeDisp.C : DefineTrainTestMatrix failed" << endl;
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| 279 | return;
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| 280 | }
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| 281 | }
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| 282 |
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| 283 | //--------------------------
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| 284 | // Training and test samples are generated from different input files
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| 285 | else
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| 286 | {
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| 287 | if ( !finddisp.DefineTrainMatrix(filenameTrain, mh3,
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| 288 | howManyTrain, fileMatrixTrain, 0) )
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| 289 | {
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| 290 | *fLog << "OptimizeDisp.C : DefineTrainMatrix failed" << endl;
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| 291 | return;
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| 292 | }
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| 293 |
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| 294 | if ( !finddisp.DefineTestMatrix( filenameTest, mh3,
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| 295 | howManyTest, fileMatrixTest, 0) )
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| 296 | {
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| 297 | *fLog << "OptimizeDisp.C : DefineTestMatrix failed" << endl;
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| 298 | return;
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| 299 | }
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| 300 | }
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| 301 |
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| 302 | gLog << "Generation of training and test samples finished" << endl;
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| 303 | gLog << "-----------------------------------------------------" << endl;
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| 304 | }
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| 305 |
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| 306 |
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| 307 |
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| 308 | //======================================================================
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| 309 | // Optimize Disp parameters using the training sample
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| 310 | //
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| 311 | // the initial values of the parameters are taken
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| 312 | // - from the file parDispInit (if != "")
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| 313 | // - or from the arrays params and steps (if their sizes are != 0)
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| 314 | // - or from the MDispParameters constructor
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| 315 | //======================================================================
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| 316 |
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| 317 | if (WOptimize)
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| 318 | {
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| 319 | gLog << "-----------------------------------------------------" << endl;
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| 320 | gLog << "Optimize the Disp parameters over a "
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| 321 | << typeOpt << " sample, using the training matrices" << endl;
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| 322 |
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| 323 | // Read training matrices from file
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| 324 | finddisp.ReadMatrix(fileMatrixTrain, fileMatrixTest);
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| 325 |
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| 326 | //--------------------------------------------
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| 327 | // file which contains the initial values for the Disp parameters;
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| 328 | // if parDispInit =""
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| 329 | // - the initial values are taken from the arrays params and steps
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| 330 | // if their sizes are different from 0
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| 331 | // - otherwise they are taken from the MDispParameters constructor
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| 332 |
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| 333 | TString parDispInit = outPath;
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| 334 | //parDispInit += "parDispInit.root";
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| 335 | parDispInit = "";
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| 336 |
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| 337 | //--------------------------------------------
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| 338 |
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| 339 | TArrayD params(0);
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| 340 | TArrayD steps(0);
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| 341 |
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| 342 | if (parDispInit == "")
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| 343 | {
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| 344 | Double_t vparams[5] = {
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| 345 | // p[0], p[1], p[2], p[3], p[4], p[5]
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| 346 | 1.0, 0.6, -0.8, -0.8, -1.2/*, 0.5*/};
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| 347 | // 0.5, 0., 0.03, 0., 0./*, 0.5*/};
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| 348 | // 0.8, 0., 0., 0., 0./*, 0.5*/};
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| 349 |
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| 350 | Double_t vsteps[5] = {
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| 351 | // dp[0], dp[1], dp[2], dp[3], dp[4], dp[5]
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| 352 | 0.01, 0.005, 0.005, 0.005, 0.01/*, 0.001*/};
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| 353 | // 0.01, 0.01, 0.01, 0.01, 0.01/*, 0.001*/};
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| 354 | // 0.01, 0.01, 0.01, 0.01, 0.01/*, 0.001*/};
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| 355 |
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| 356 | params.Set(5, vparams);
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| 357 | steps.Set (5, vsteps );
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| 358 | }
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| 359 |
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| 360 |
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| 361 | Bool_t rf;
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| 362 | rf = finddisp.FindParams(parDispInit, params, steps);
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| 363 |
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| 364 | if (!rf)
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| 365 | {
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| 366 | gLog << "OptimizeDisp.C : optimization of the Disp parameters failed" << endl;
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| 367 | return;
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| 368 | }
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| 369 |
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| 370 | gLog << "Optimization of Disp parameters finished" << endl;
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| 371 | gLog << "-----------------------------------------------------" << endl;
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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 | //======================================================================
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| 377 | // Test the Disp parameters on the test sample
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| 378 | //======================================================================
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| 379 |
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| 380 | if (RTest)
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| 381 | {
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| 382 | // Read test matrices from file
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| 383 | finddisp.ReadMatrix(fileMatrixTrain, fileMatrixTest);
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| 384 |
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| 385 | gLog << "-----------------------------------------------------" << endl;
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| 386 | gLog << "Test the Disp parameters using the test matrices" << endl;
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| 387 | Bool_t rt = finddisp.TestParams();
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| 388 | if (!rt)
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| 389 | {
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| 390 | gLog << "Test of the Disp parameters on the test matrices failed"
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| 391 | << endl;
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| 392 | }
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| 393 | gLog << "Test of the Disp parameters finished" << endl;
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| 394 | gLog << "-----------------------------------------------------" << endl;
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| 395 | }
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| 396 |
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| 397 |
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| 398 |
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| 399 |
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| 400 | //======================================================================
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| 401 | // Make Disp plots
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| 402 | //======================================================================
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| 403 |
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| 404 | if (WDisp)
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| 405 | {
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| 406 | gLog << "" << endl;
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| 407 | gLog << "-----------------------------------------------------" << endl;
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| 408 | gLog << "Make plots for Disp for data of the type " << typeInput << endl;
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| 409 |
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| 410 | //--------------------------------------------
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| 411 | // type of data to be read (ON, OFF or MC)
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| 412 | if (typeInput == "ON")
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| 413 | TString file(onfile);
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| 414 | else if (typeInput == "OFF")
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| 415 | TString file(offfile);
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| 416 | else if (typeInput == "MC")
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| 417 | TString file(mcfile);
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| 418 |
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| 419 | // name of input root file
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| 420 | TString filenameData = inPathMC;
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| 421 | filenameData += mcfile;
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| 422 | filenameData += ".root";
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| 423 | gLog << "Input file '" << filenameData << endl;
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| 424 |
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| 425 | //----------------------------------------------------
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| 426 | // read in optimum Disp parameter values
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| 427 |
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| 428 | TFile inparam(parDispFile);
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| 429 | MDispParameters dispin;
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| 430 | dispin.Read("MDispParameters");
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| 431 | inparam.Close();
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| 432 |
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| 433 | gLog << "Disp parameter values were read in from file '"
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| 434 | << parDispFile << "'" << endl;
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| 435 |
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| 436 | TArrayD dispPar;
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| 437 | dispPar = dispin.GetParameters();
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| 438 |
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| 439 | TArrayD dispStep;
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| 440 | dispStep = dispin.GetStepsizes();
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| 441 |
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| 442 | gLog << "optimum parameter values for calculating Disp : " << endl;
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| 443 | for (Int_t i=0; i<dispPar.GetSize(); i++)
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| 444 | {
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| 445 | gLog << dispPar[i] << ", ";
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| 446 | }
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| 447 | gLog << endl;
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| 448 |
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| 449 |
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| 450 | //----------------------------------------------------
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| 451 | MTaskList tliston;
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| 452 | MParList pliston;
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| 453 |
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| 454 | MReadMarsFile read("Events", filenameData);
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| 455 | read.DisableAutoScheme();
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| 456 |
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| 457 | // set cuts to select an event sample to apply Disp
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| 458 | MContinue contdisp(fdisp);
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| 459 |
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| 460 | // calculate Disp
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| 461 | MDispCalc dispcalc;
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| 462 |
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| 463 | // make Disp plots
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| 464 | // SelectedPos = 1 means choose the right source position
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| 465 | // 2 wrong
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| 466 | // 3 the position according to M3Long
|
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| 467 | // 4 the position according to Asym
|
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| 468 | MHDisp hdisp1;
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| 469 | hdisp1.SetName("MHDispCorr");
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| 470 | hdisp1.SetSelectedPos(1);
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| 471 | MFillH filldisp1("MHDispCorr[MHDisp]", "");
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| 472 |
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| 473 | MHDisp hdisp2;
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| 474 | hdisp2.SetName("MHDispWrong");
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| 475 | hdisp2.SetSelectedPos(2);
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| 476 | MFillH filldisp2("MHDispWrong[MHDisp]", "");
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| 477 |
|
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| 478 | MHDisp hdisp3;
|
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| 479 | hdisp3.SetName("MHDispM3Long");
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| 480 | hdisp3.SetSelectedPos(3);
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| 481 | MFillH filldisp3("MHDispM3Long[MHDisp]", "");
|
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| 482 |
|
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| 483 | MHDisp hdisp4;
|
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| 484 | hdisp4.SetName("MHDispAsym");
|
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| 485 | hdisp4.SetSelectedPos(4);
|
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| 486 | MFillH filldisp4("MHDispAsym[MHDisp]", "");
|
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| 487 |
|
|---|
| 488 |
|
|---|
| 489 | //*****************************
|
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| 490 | // entries in MParList
|
|---|
| 491 |
|
|---|
| 492 | pliston.AddToList(&tliston);
|
|---|
| 493 | pliston.AddToList(&dispin);
|
|---|
| 494 | pliston.AddToList(&hdisp1);
|
|---|
| 495 | pliston.AddToList(&hdisp2);
|
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| 496 | pliston.AddToList(&hdisp3);
|
|---|
| 497 | pliston.AddToList(&hdisp4);
|
|---|
| 498 |
|
|---|
| 499 | //*****************************
|
|---|
| 500 | // entries in MTaskList
|
|---|
| 501 |
|
|---|
| 502 | tliston.AddToList(&read);
|
|---|
| 503 | if (fdisp != NULL)
|
|---|
| 504 | tliston.AddToList(&contdisp);
|
|---|
| 505 | tliston.AddToList(&dispcalc);
|
|---|
| 506 | tliston.AddToList(&filldisp1);
|
|---|
| 507 | tliston.AddToList(&filldisp2);
|
|---|
| 508 | tliston.AddToList(&filldisp3);
|
|---|
| 509 | tliston.AddToList(&filldisp4);
|
|---|
| 510 |
|
|---|
| 511 | //*****************************
|
|---|
| 512 |
|
|---|
| 513 | //-------------------------------------------
|
|---|
| 514 | // Execute event loop
|
|---|
| 515 | //
|
|---|
| 516 | MProgressBar bar;
|
|---|
| 517 | MEvtLoop evtloop;
|
|---|
| 518 | evtloop.SetParList(&pliston);
|
|---|
| 519 | evtloop.SetProgressBar(&bar);
|
|---|
| 520 |
|
|---|
| 521 | Int_t maxevents = -1;
|
|---|
| 522 | if ( !evtloop.Eventloop(maxevents) )
|
|---|
| 523 | return;
|
|---|
| 524 |
|
|---|
| 525 | tliston.PrintStatistics(0, kTRUE);
|
|---|
| 526 |
|
|---|
| 527 | //-------------------------------------------
|
|---|
| 528 | // Display the histograms
|
|---|
| 529 | //
|
|---|
| 530 | hdisp1.Draw();
|
|---|
| 531 | hdisp2.Draw();
|
|---|
| 532 | hdisp3.Draw();
|
|---|
| 533 | hdisp4.Draw();
|
|---|
| 534 |
|
|---|
| 535 | //-------------------------------------------
|
|---|
| 536 |
|
|---|
| 537 | gLog << "Disp plots were made for file '" << filenameData << endl;
|
|---|
| 538 | gLog << "-----------------------------------------------------" << endl;
|
|---|
| 539 | }
|
|---|
| 540 |
|
|---|
| 541 | delete fdisp;
|
|---|
| 542 |
|
|---|
| 543 | gLog << "Macro OptimizeDisp.C : End " << endl;
|
|---|
| 544 | gLog << "=======================================================" << endl;
|
|---|
| 545 |
|
|---|
| 546 | }
|
|---|
| 547 |
|
|---|
| 548 |
|
|---|
| 549 |
|
|---|
| 550 |
|
|---|
| 551 |
|
|---|
| 552 |
|
|---|
| 553 |
|
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| 554 |
|
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| 555 |
|
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