| 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  12/2005 <mailto:tbretz@astro.uni-wuerzburg.de> | 
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| 19 | ! | 
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| 20 | !   Copyright: MAGIC Software Development, 2000-2005 | 
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| 21 | ! | 
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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 | //  MHThreshold | 
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| 28 | // | 
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| 29 | // Class to calculate the threshold of your analysis. | 
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| 30 | // | 
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| 31 | // It fills a histogram dN/dE vs E with a fine binning. The threshold is | 
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| 32 | // determined as the logarithmic center of the bin with the maximum | 
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| 33 | // content. | 
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| 34 | // | 
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| 35 | ////////////////////////////////////////////////////////////////////////////// | 
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| 36 | #include "MHThreshold.h" | 
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| 37 |  | 
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| 38 | #include <TF1.h> | 
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| 39 | #include <TLatex.h> | 
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| 40 | #include <TCanvas.h> | 
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| 41 | #include <TPaveStats.h> | 
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| 42 |  | 
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| 43 | #include "MLog.h" | 
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| 44 | #include "MLogManip.h" | 
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| 45 |  | 
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| 46 | #include "MBinning.h" | 
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| 47 |  | 
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| 48 | #include "MMcEvt.hxx" | 
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| 49 |  | 
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| 50 | #include "MParList.h" | 
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| 51 |  | 
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| 52 | ClassImp(MHThreshold); | 
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| 53 |  | 
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| 54 | using namespace std; | 
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| 55 |  | 
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| 56 | // -------------------------------------------------------------------------- | 
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| 57 | // | 
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| 58 | //  Creates the three necessary histograms: | 
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| 59 | //   - selected showers (input) | 
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| 60 | //   - all showers (input) | 
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| 61 | //   - collection area (result) | 
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| 62 | // | 
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| 63 | MHThreshold::MHThreshold(const char *name, const char *title) | 
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| 64 | { | 
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| 65 | //   initialize the histogram for the distribution r vs E | 
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| 66 | // | 
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| 67 | //   we set the energy range from 2 Gev to 20000 GeV (in log 4 orders | 
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| 68 | //   of magnitude) and for each order we take 25 subdivision --> 100 xbins | 
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| 69 | // | 
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| 70 | //   we set the radius range from 0 m to 500 m with 10 m bin --> 50 ybins | 
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| 71 | // | 
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| 72 | fName  = name  ? name  : "MHThreshold"; | 
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| 73 | fTitle = title ? title : "Histogram to determin the threshold"; | 
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| 74 |  | 
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| 75 | fHEnergy.SetName("Threshold"); | 
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| 76 | fHEnergy.SetTitle("Energy Threshold"); | 
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| 77 | fHEnergy.SetXTitle("E [GeV]"); | 
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| 78 | fHEnergy.SetYTitle("dN/dE [GeV^{-1}]"); | 
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| 79 | fHEnergy.SetDirectory(NULL); | 
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| 80 | fHEnergy.UseCurrentStyle(); | 
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| 81 |  | 
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| 82 | MBinning binse(50, 20, 50000, "", "log"); | 
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| 83 | binse.Apply(fHEnergy); | 
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| 84 |  | 
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| 85 | fHEnergy.Sumw2(); | 
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| 86 | } | 
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| 87 |  | 
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| 88 | Bool_t MHThreshold::SetupFill(const MParList *pl) | 
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| 89 | { | 
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| 90 | fMcEvt = (MMcEvt*)pl->FindObject("MMcEvt"); | 
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| 91 | if (!fMcEvt) | 
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| 92 | { | 
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| 93 | *fLog << err << "MMcEvt not found... abort." << endl; | 
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| 94 | return kFALSE; | 
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| 95 | } | 
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| 96 | /* | 
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| 97 | MBinning binse; | 
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| 98 | binse.SetEdges(fHEnergy, 'x'); | 
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| 99 |  | 
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| 100 | MBinning *bins = (MBinning*)pl->FindObject("BinningEnergyEst", "MBinning"); | 
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| 101 | if (bins) | 
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| 102 | binse.SetEdges(*bins); | 
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| 103 |  | 
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| 104 | binse.Apply(fHEnergy); | 
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| 105 | */ | 
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| 106 | return kTRUE; | 
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| 107 | } | 
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| 108 |  | 
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| 109 | void MHThreshold::Paint(Option_t *option) | 
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| 110 | { | 
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| 111 | if (fHEnergy.GetEntries()==0) | 
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| 112 | return; | 
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| 113 |  | 
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| 114 | TH1D h(fHEnergy); | 
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| 115 |  | 
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| 116 | Int_t min=1; | 
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| 117 | while (min<h.GetNbinsX() && h.GetBinContent(min)==0) | 
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| 118 | min++; | 
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| 119 | Int_t max=h.GetNbinsX(); | 
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| 120 | while (max>min && h.GetBinContent(max)==0) | 
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| 121 | max--; | 
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| 122 |  | 
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| 123 | if (max-min<5) | 
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| 124 | return; | 
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| 125 |  | 
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| 126 | h.Smooth(1, min, max); | 
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| 127 |  | 
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| 128 | const Int_t bin  =  h.GetMaximumBin(); | 
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| 129 | const TAxis &axe = *h.GetXaxis(); | 
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| 130 |  | 
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| 131 | // Assume that the energy binning is logarithmic | 
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| 132 | const Axis_t maxe = TMath::Sqrt(axe.GetBinLowEdge(bin)*axe.GetBinUpEdge(bin)); | 
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| 133 |  | 
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| 134 | TLatex text(0.30, 0.95, Form("E_{max}=%dGeV (%dGeV,%dGeV)", TMath::Nint(maxe), | 
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| 135 | TMath::Nint(axe.GetBinLowEdge(bin)), | 
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| 136 | TMath::Nint(axe.GetBinUpEdge(bin)))); | 
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| 137 | text.SetBit(TLatex::kTextNDC); | 
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| 138 | text.SetTextSize(0.04); | 
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| 139 | text.Paint(); | 
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| 140 | } | 
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| 141 |  | 
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| 142 | void MHThreshold::Draw(Option_t *option) | 
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| 143 | { | 
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| 144 | TVirtualPad *pad = gPad ? gPad : MakeDefCanvas(this); | 
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| 145 |  | 
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| 146 | // Do the projection before painting the histograms into | 
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| 147 | // the individual pads | 
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| 148 | pad->SetBorderMode(0); | 
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| 149 |  | 
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| 150 | gPad->SetLogx(); | 
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| 151 | gPad->SetLogy(); | 
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| 152 | gPad->SetGridx(); | 
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| 153 | gPad->SetGridy(); | 
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| 154 |  | 
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| 155 | fHEnergy.Draw(); | 
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| 156 |  | 
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| 157 | AppendPad(); | 
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| 158 | } | 
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| 159 |  | 
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| 160 | Bool_t MHThreshold::Fill(const MParContainer *par, const Stat_t weight) | 
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| 161 | { | 
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| 162 | const Double_t energy = fMcEvt->GetEnergy(); | 
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| 163 |  | 
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| 164 | fHEnergy.Fill(energy, weight/energy); | 
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| 165 |  | 
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| 166 | return kTRUE; | 
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| 167 | } | 
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