| 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 1/2002 <mailto:tbretz@astro.uni-wuerzburg.de>
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| 19 | ! Author(s): Wolfgang Wittek 1/2002 <mailto:wittek@mppmu.mpg.de>
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| 20 | !
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| 21 | ! Copyright: MAGIC Software Development, 2000-2002
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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 | // //
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| 28 | // MHEffOnTimeTime //
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| 29 | // //
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| 30 | // calculates the effective on time for each bin in time //
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| 31 | // //
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| 32 | //////////////////////////////////////////////////////////////////////////////
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| 33 |
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| 34 | #include "MHEffOnTimeTime.h"
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| 35 |
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| 36 | #include <TStyle.h>
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| 37 |
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| 38 | #include <TF1.h>
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| 39 | #include <TH2.h>
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| 40 | #include <TCanvas.h>
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| 41 |
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| 42 | #include "MTime.h"
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| 43 |
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| 44 | #include "MBinning.h"
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| 45 | #include "MParList.h"
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| 46 |
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| 47 | #include "MLog.h"
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| 48 | #include "MLogManip.h"
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| 49 |
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| 50 | ClassImp(MHEffOnTimeTime);
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| 51 |
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| 52 |
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| 53 | // --------------------------------------------------------------------------
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| 54 | //
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| 55 | // Default Constructor. It sets name and title of the histograms.
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| 56 | //
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| 57 | MHEffOnTimeTime::MHEffOnTimeTime(const char *name, const char *title)
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| 58 | : fHEffOn()
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| 59 | {
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| 60 | //
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| 61 | // set the name and title of this object
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| 62 | //
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| 63 | fName = name ? name : "MHEffOnTimeTime";
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| 64 | fTitle = title ? title : "1-D histogram of Eff On Time";
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| 65 |
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| 66 | // effective on time versus time
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| 67 | fHEffOn.SetName("EffOn");
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| 68 | fHEffOn.SetTitle("Effective On Time vs. Time");
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| 69 |
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| 70 | fHEffOn.SetDirectory(NULL);
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| 71 |
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| 72 | fHEffOn.SetXTitle("time [s]");
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| 73 | fHEffOn.SetYTitle("t_{eff} [s]");
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| 74 |
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| 75 | // chi2/NDF versus time
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| 76 | fHChi2.SetName("Chi2/NDF");
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| 77 | fHChi2.SetTitle("Chi2/NDF of OnTimeFit vs. Time");
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| 78 |
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| 79 | fHChi2.SetDirectory(NULL);
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| 80 |
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| 81 | fHChi2.SetXTitle("time [s]");
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| 82 | fHChi2.SetYTitle("chi^{2}/NDF");
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| 83 |
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| 84 | // lambda versus time
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| 85 | fHLambda.SetName("lambda");
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| 86 | fHLambda.SetTitle("lambda of OnTimeFit vs. Time");
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| 87 |
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| 88 | fHLambda.SetDirectory(NULL);
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| 89 |
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| 90 | fHLambda.SetXTitle("time [s]");
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| 91 | fHLambda.SetYTitle("\\lambda [Hz]");
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| 92 |
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| 93 | // N0del versus time
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| 94 | fHN0del.SetName("N0del");
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| 95 | fHN0del.SetTitle("N0del of OnTimeFit vs. Time");
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| 96 |
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| 97 | fHN0del.SetDirectory(NULL);
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| 98 |
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| 99 | fHN0del.SetXTitle("time [s]");
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| 100 | fHN0del.SetYTitle("N0del");
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| 101 | }
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| 102 |
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| 103 | // -----------------------------------------------------------------------
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| 104 | //
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| 105 | // Calculate the effective on time by fitting the distribution of
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| 106 | // time differences
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| 107 | //
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| 108 | void MHEffOnTimeTime::Calc(TH2D *hist)
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| 109 | {
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| 110 | // nbins = number of time bins
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| 111 | const Int_t nbins = hist->GetNbinsY();
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| 112 |
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| 113 | for (int i=1; i<=nbins; i++)
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| 114 | {
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| 115 |
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| 116 | // TH1D &h = *hist->ProjectionX("Calc-time", i, i, "E");
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| 117 | TH1D &h = *hist->ProjectionX("Calc-time", i, i, "E");
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| 118 |
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| 119 |
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| 120 | // Nmdel = Nm * binwidth, with Nm = number of observed events
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| 121 | const Double_t Nmdel = h.Integral("width");
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| 122 | const Double_t Nm = h.Integral();
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| 123 | // Double_t mean = h->GetMean();
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| 124 |
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| 125 | //...................................................
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| 126 | // determine range (yq[0], yq[1]) of time differences
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| 127 | // where fit should be performed;
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| 128 | // require a fraction >=xq[0] of all entries to lie below yq[0]
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| 129 | // and a fraction <=xq[1] of all entries to lie below yq[1];
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| 130 | // within the range (yq[0], yq[1]) there must be no empty bin;
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| 131 | // choose pedestrian approach as long as GetQuantiles is not available
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| 132 |
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| 133 | Double_t xq[2] = { 0.15, 0.95 };
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| 134 | Double_t yq[2];
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| 135 |
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| 136 | // GetQuantiles doesn't seem to be available in root 3.01/06
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| 137 | // h->GetQuantiles(2,yq,xq);
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| 138 |
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| 139 | const Double_t sumtot = h.Integral();
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| 140 | const Int_t jbins = h.GetNbinsX();
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| 141 |
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| 142 | if (sumtot > 0.0)
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| 143 | {
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| 144 | // char txt[100];
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| 145 | // sprintf(txt, "time_bin:%d", i);
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| 146 | // new TCanvas(txt, txt);
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| 147 |
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| 148 | Double_t sum1 = 0.0;
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| 149 | yq[0] = h.GetBinLowEdge(jbins+1);
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| 150 | for (int j=1; j<=jbins; j++)
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| 151 | {
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| 152 | if (sum1 >= xq[0]*sumtot)
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| 153 | {
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| 154 | yq[0] = h.GetBinLowEdge(j);
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| 155 | break;
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| 156 | }
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| 157 | sum1 += h.GetBinContent(j);
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| 158 | }
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| 159 |
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| 160 | Double_t sum2 = 0.0;
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| 161 | yq[1] = h.GetBinLowEdge(jbins+1);
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| 162 | for (int j=1; j<=jbins; j++)
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| 163 | {
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| 164 | const Double_t content = h.GetBinContent(j);
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| 165 | sum2 += content;
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| 166 | if (sum2 >= xq[1]*sumtot || content == 0.0)
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| 167 | {
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| 168 | yq[1] = h.GetBinLowEdge(j);
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| 169 | break;
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| 170 | }
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| 171 | }
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| 172 |
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| 173 | //...................................................
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| 174 |
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| 175 | // parameter 0 = lambda
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| 176 | // parameter 1 = N0*del with N0 = ideal number of events
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| 177 | // and del = bin width of time difference
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| 178 | TF1 func("Poisson", "[1] * [0] * exp(-[0] *x)", yq[0], yq[1]);
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| 179 |
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| 180 | func.SetParameter(0, 100); // [Hz]
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| 181 | func.SetParameter(1, Nmdel);
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| 182 |
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| 183 | func.SetParLimits(0, 0, 1000); // [Hz]
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| 184 | func.SetParLimits(1, 0, 10*Nmdel);
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| 185 |
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| 186 | func.SetParName(0, "lambda");
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| 187 | func.SetParName(1, "Nmdel");
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| 188 |
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| 189 | // options : 0 (=zero) do not plot the function
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| 190 | // I use integral of function in bin rather than value at bin center
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| 191 | // R use the range specified in the function range
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| 192 | // Q quiet mode
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| 193 | h.Fit("Poisson", "0IRQ");
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| 194 |
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| 195 | // gPad->SetLogy();
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| 196 | // gStyle->SetOptFit(1011);
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| 197 | // h->GetXaxis()->SetTitle("time difference [s]");
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| 198 | // h->GetYaxis()->SetTitle("Counts");
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| 199 | // h->DrawCopy();
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| 200 |
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| 201 | // func.SetRange(yq[0], yq[1]); // Range of Drawing
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| 202 | // func.DrawCopy("same");
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| 203 |
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| 204 | const Double_t lambda = func.GetParameter(0);
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| 205 | const Double_t N0del = func.GetParameter(1);
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| 206 | const Double_t chi2 = func.GetChisquare();
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| 207 | const Int_t NDF = func.GetNDF();
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| 208 |
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| 209 | // was fit successful ?
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| 210 | if (NDF>0 && chi2<2.5*NDF)
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| 211 | {
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| 212 | // the effective on time is Nm/lambda
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| 213 | fHEffOn.SetBinContent(i, Nm/lambda);
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| 214 |
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| 215 | // plot chi2/NDF of fit
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| 216 | fHChi2.SetBinContent(i, NDF ? chi2/NDF : 0.0);
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| 217 |
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| 218 | // lambda of fit
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| 219 | fHLambda.SetBinContent(i, lambda);
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| 220 |
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| 221 | // N0del of fit
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| 222 | fHN0del.SetBinContent(i, N0del);
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| 223 |
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| 224 | delete &h;
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| 225 | continue;
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| 226 | }
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| 227 | }
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| 228 |
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| 229 | fHEffOn.SetBinContent (i, 1.e-20);
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| 230 | fHChi2.SetBinContent (i, 1.e-20);
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| 231 | fHLambda.SetBinContent(i, 1.e-20);
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| 232 | fHN0del.SetBinContent (i, 1.e-20);
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| 233 |
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| 234 | delete &h;
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| 235 | }
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| 236 | }
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| 237 |
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| 238 | // -------------------------------------------------------------------------
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| 239 | //
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| 240 | // Set the binnings and prepare the filling of the histograms
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| 241 | //
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| 242 | Bool_t MHEffOnTimeTime::SetupFill(const MParList *plist)
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| 243 | {
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| 244 | const MBinning* binstime = (MBinning*)plist->FindObject("BinningTime");
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| 245 | if (!binstime)
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| 246 | {
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| 247 | *fLog << err << dbginf << "BinningTime [MBinning] not found... aborting." << endl;
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| 248 | return kFALSE;
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| 249 | }
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| 250 |
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| 251 | SetBinning(&fHEffOn, binstime);
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| 252 | SetBinning(&fHChi2, binstime);
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| 253 | SetBinning(&fHLambda, binstime);
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| 254 | SetBinning(&fHN0del, binstime);
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| 255 |
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| 256 | fHEffOn.Sumw2();
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| 257 | fHChi2.Sumw2();
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| 258 | fHLambda.Sumw2();
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| 259 | fHN0del.Sumw2();
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| 260 |
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| 261 | return kTRUE;
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| 262 | }
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| 263 |
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| 264 | // -------------------------------------------------------------------------
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| 265 | //
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| 266 | // Draw the histogram
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| 267 | //
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| 268 | void MHEffOnTimeTime::Draw(Option_t *opt)
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| 269 | {
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| 270 | TVirtualPad *pad = gPad ? gPad : MakeDefCanvas(this);
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| 271 | pad->SetBorderMode(0);
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| 272 |
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| 273 | pad->Divide(2,2);
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| 274 |
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| 275 | pad->cd(1);
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| 276 | gPad->SetBorderMode(0);
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| 277 | fHEffOn.Draw(opt);
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| 278 |
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| 279 | pad->cd(2);
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| 280 | gPad->SetBorderMode(0);
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| 281 | fHChi2.Draw(opt);
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| 282 |
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| 283 | pad->cd(3);
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| 284 | gPad->SetBorderMode(0);
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| 285 | fHLambda.Draw(opt);
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| 286 |
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| 287 | pad->cd(4);
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| 288 | gPad->SetBorderMode(0);
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| 289 | fHN0del.Draw(opt);
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| 290 |
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| 291 | pad->Modified();
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| 292 | pad->Update();
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| 293 | }
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| 294 |
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| 295 |
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| 296 |
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| 297 |
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| 298 |
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