| 1 | #include "slicecalculation.h" | 
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| 2 | #include <TROOT.h> | 
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| 3 | #include <TH1F.h> | 
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| 4 | #include <TH2F.h> | 
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| 5 | #include <TMath.h> | 
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| 6 |  | 
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| 7 | //compute the median for 1-d histogram h1 | 
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| 8 | Double_t | 
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| 9 | MedianOfH1( | 
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| 10 | TH1*            h1, | 
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| 11 | int             verbosityLevel | 
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| 12 | ) | 
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| 13 | { | 
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| 14 | if (verbosityLevel > 4) cout << endl | 
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| 15 | << "...calculating median of given TH1" | 
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| 16 | << endl; | 
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| 17 | Int_t nbins = h1->GetXaxis()->GetNbins(); | 
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| 18 | Double_t *x = new Double_t[nbins]; | 
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| 19 | Double_t *y = new Double_t[nbins]; | 
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| 20 |  | 
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| 21 | for (Int_t i=0;i<nbins;i++) | 
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| 22 | { | 
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| 23 | x[i] = h1->GetXaxis()->GetBinCenter(i+1); | 
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| 24 | y[i] = h1->GetBinContent(i+1); | 
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| 25 | } | 
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| 26 | Double_t median = TMath::Median(nbins,x,y); | 
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| 27 |  | 
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| 28 | delete [] x; | 
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| 29 | delete [] y; | 
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| 30 |  | 
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| 31 | if (verbosityLevel > 4) cout << "...done" << endl; | 
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| 32 | return median; | 
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| 33 | } | 
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| 34 |  | 
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| 35 | //compute the median for each slice of a given TH2 histogram | 
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| 36 | void | 
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| 37 | PlotMedianEachSliceOfPulse( | 
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| 38 | TH2*            phInputHistogram, | 
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| 39 | TH1*            phOutputHistogram, | 
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| 40 | int             fitdata, | 
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| 41 | int             verbosityLevel | 
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| 42 | ) | 
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| 43 | { | 
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| 44 | if (verbosityLevel > 2) cout << endl | 
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| 45 | << "...calculating pulse shape of slice's Median" | 
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| 46 | << endl; | 
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| 47 |  | 
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| 48 | Int_t nbins = phInputHistogram->GetXaxis()->GetNbins(); | 
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| 49 |  | 
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| 50 | for (Int_t TimeSlice=1;TimeSlice<=nbins;TimeSlice++) | 
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| 51 | { | 
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| 52 | TH1 *hProjection = phInputHistogram->ProjectionY("",TimeSlice,TimeSlice); | 
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| 53 | double median = MedianOfH1(hProjection); | 
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| 54 |  | 
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| 55 | if (verbosityLevel > 4) | 
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| 56 | printf("Median of Slice %d, Median=%g\n",TimeSlice,median); | 
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| 57 |  | 
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| 58 | delete hProjection; | 
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| 59 |  | 
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| 60 | phOutputHistogram->SetBinContent(TimeSlice, median ); | 
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| 61 | //       hAllPixelMedian[pulse_order]->SetBinContent(TimeSlice, median ); | 
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| 62 | } | 
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| 63 |  | 
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| 64 | if (verbosityLevel > 2) cout << "\t...done" << endl; | 
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| 65 |  | 
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| 66 | if (fitdata) | 
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| 67 | { | 
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| 68 | FitMaxPropabilityPuls( | 
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| 69 | phOutputHistogram, | 
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| 70 | verbosityLevel | 
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| 71 | ); | 
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| 72 | } | 
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| 73 | } | 
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| 74 |  | 
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| 75 | //compute the mean for each slice of a given TH2 histogram | 
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| 76 | void | 
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| 77 | PlotMeanEachSliceOfPulse( | 
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| 78 | TH2*            phInputHistogram, | 
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| 79 | TH1*            phOutputHistogram, | 
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| 80 | int             fitdata, | 
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| 81 | int             verbosityLevel | 
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| 82 | ) | 
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| 83 | { | 
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| 84 | if (verbosityLevel > 2) cout << endl | 
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| 85 | << "...calculating pulse shape of slice's mean" | 
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| 86 | << endl; | 
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| 87 |  | 
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| 88 | Int_t nbins = phInputHistogram->GetXaxis()->GetNbins(); | 
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| 89 |  | 
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| 90 | for (Int_t TimeSlice=1;TimeSlice<=nbins;TimeSlice++) | 
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| 91 | { | 
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| 92 | TH1 *hProjection = phInputHistogram->ProjectionY("",TimeSlice,TimeSlice); | 
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| 93 | double mean = hProjection->GetMean(); | 
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| 94 |  | 
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| 95 | if (verbosityLevel > 4) | 
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| 96 | printf("Mean of Slice %d, mean=%g\n",TimeSlice,median); | 
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| 97 |  | 
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| 98 | delete hProjection; | 
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| 99 |  | 
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| 100 | phOutputHistogram->SetBinContent(TimeSlice, mean ); | 
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| 101 | //       hAllPixelMean[pulse_order]->SetBinContent(TimeSlice, mean ); | 
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| 102 | } | 
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| 103 |  | 
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| 104 | if (verbosityLevel > 2) cout << "\t...done" << endl; | 
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| 105 |  | 
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| 106 | if (fitdata) | 
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| 107 | { | 
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| 108 | FitMaxPropabilityPuls( | 
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| 109 | phOutputHistogram, | 
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| 110 | verbosityLevel | 
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| 111 | ); | 
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| 112 | } | 
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| 113 | } | 
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| 114 |  | 
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| 115 | //fit a function to the given histogram | 
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| 116 | void | 
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| 117 | FitMaxPropabilityPuls( | 
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| 118 | TH1*           phInputHistogram, | 
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| 119 | float           left_border, | 
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| 120 | float           right_border, | 
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| 121 | int             verbosityLevel | 
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| 122 | ) | 
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| 123 | { | 
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| 124 | if (verbosityLevel > 2) cout << "...fit Landau in histograms" ; | 
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| 125 | if (verbosityLevel > 2) cout << "\t...calculating Landaufit" ; | 
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| 126 | phInputHistogram->Fit("landau", "", "", left_border, right_border); | 
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| 127 | if (verbosityLevel > 2) cout << "...done" << endl; | 
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| 128 | } | 
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