| 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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