| 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): Javier Lopez 05/2001 <mailto:jlopez@ifae.es> | 
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| 19 | !   Author(s): Thomas Bretz 05/2001 <mailto:tbretz@uni-sw.gwdg.de> | 
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| 20 | ! | 
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| 21 | !   Copyright: MAGIC Software Development, 2000-2001 | 
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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 | //  MHMcIntRate | 
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| 29 | // | 
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| 30 | // This class holds the information (histogram and fit function) | 
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| 31 | // about the energy threshold for a particular trigger condition. | 
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| 32 | // | 
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| 33 | //////////////////////////////////////////////////////////////////////////// | 
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| 34 | #include "MHMcIntRate.h" | 
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| 35 |  | 
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| 36 | #include <math.h> | 
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| 37 |  | 
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| 38 | #include <TCanvas.h> | 
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| 39 |  | 
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| 40 | #include "MH.h" | 
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| 41 | #include "MBinning.h" | 
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| 42 |  | 
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| 43 | #include "MHMcDifRate.h" | 
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| 44 |  | 
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| 45 | ClassImp(MHMcIntRate); | 
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| 46 |  | 
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| 47 | using namespace std; | 
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| 48 |  | 
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| 49 | // ------------------------------------------------------------------------- | 
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| 50 | // | 
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| 51 | //  Default Constructor. | 
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| 52 | // | 
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| 53 | MHMcIntRate::MHMcIntRate(const char *name, const char *title) | 
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| 54 | : fHist() | 
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| 55 | { | 
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| 56 | fName  = name  ? name  : "MHMcIntRate"; | 
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| 57 | fTitle = title ? title : "Integral Trigger Rate"; | 
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| 58 |  | 
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| 59 | //  - we initialize the histogram | 
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| 60 | //  - we have to give diferent names for the diferent histograms because | 
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| 61 | //    root don't allow us to have diferent histograms with the same name | 
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| 62 |  | 
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| 63 | fHist.SetName(fName); | 
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| 64 | fHist.SetTitle(fTitle); | 
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| 65 |  | 
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| 66 | fHist.SetDirectory(NULL); | 
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| 67 |  | 
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| 68 | fHist.SetXTitle("E [GeV]"); | 
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| 69 | fHist.SetYTitle("Rate [Hz]"); | 
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| 70 | } | 
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| 71 |  | 
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| 72 | void MHMcIntRate::SetName(const char *name) | 
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| 73 | { | 
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| 74 | fName = name; | 
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| 75 | fHist.SetName(name); | 
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| 76 | fHist.SetDirectory(NULL); | 
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| 77 | } | 
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| 78 |  | 
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| 79 | void MHMcIntRate::SetTitle(const char *title) | 
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| 80 | { | 
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| 81 | fTitle = title; | 
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| 82 | fHist.SetTitle(title); | 
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| 83 | } | 
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| 84 |  | 
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| 85 | // ------------------------------------------------------------------------ | 
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| 86 | // | 
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| 87 | // Drawing function. It creates its own canvas. | 
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| 88 | // | 
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| 89 | void MHMcIntRate::Draw(Option_t *option) | 
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| 90 | { | 
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| 91 | TVirtualPad *pad = gPad ? gPad : MH::MakeDefCanvas(this); | 
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| 92 | pad->SetBorderMode(0); | 
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| 93 |  | 
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| 94 | AppendPad(""); | 
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| 95 |  | 
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| 96 | pad->SetLogx(); | 
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| 97 |  | 
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| 98 | fHist.Draw(option); | 
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| 99 |  | 
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| 100 | pad->Modified(); | 
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| 101 | pad->Update(); | 
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| 102 | } | 
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| 103 |  | 
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| 104 | // -------------------------------------------------------------------------- | 
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| 105 | // | 
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| 106 | //  Calculate the IntRate and set the 'ReadyToSave' flag. | 
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| 107 | //  The IntRate is calculated as the number of selected showers | 
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| 108 | //  (eg. triggered ones) divided by the number of all showers. | 
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| 109 | //  For error calculation Binomial errors are computed. | 
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| 110 | // | 
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| 111 | void MHMcIntRate::Calc(const MHMcDifRate &rate) | 
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| 112 | { | 
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| 113 | /*const*/ TH1D  &hist = (TH1D&)*rate.GetHist(); | 
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| 114 | const TAxis &axis = *hist.GetXaxis(); | 
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| 115 |  | 
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| 116 | // | 
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| 117 | // Set the binning from the two axis of one of the two histograms | 
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| 118 | // | 
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| 119 | MH::SetBinning(&fHist, &axis); | 
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| 120 |  | 
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| 121 | const Int_t nbinsx = axis.GetNbins(); | 
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| 122 |  | 
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| 123 | for (Int_t i=1; i<=nbinsx; i++) | 
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| 124 | { | 
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| 125 | fHist.SetBinContent(i, hist.Integral(i, nbinsx, "width")); | 
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| 126 | fHist.SetBinError(i, hist.GetBinError(i)*axis.GetBinWidth(i)); | 
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| 127 | } | 
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| 128 |  | 
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| 129 | fHist.SetEntries(hist.GetEntries()); | 
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| 130 |  | 
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| 131 | SetReadyToSave(); | 
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| 132 | } | 
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