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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