1 | /* ======================================================================== *\
|
---|
2 | !
|
---|
3 | ! *
|
---|
4 | ! * This file is part of MARS, the MAGIC Analysis and Reconstruction
|
---|
5 | ! * Software. It is distributed to you in the hope that it can be a useful
|
---|
6 | ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes.
|
---|
7 | ! * It is distributed WITHOUT ANY WARRANTY.
|
---|
8 | ! *
|
---|
9 | ! * Permission to use, copy, modify and distribute this software and its
|
---|
10 | ! * documentation for any purpose is hereby granted without fee,
|
---|
11 | ! * provided that the above copyright notice appear in all copies and
|
---|
12 | ! * that both that copyright notice and this permission notice appear
|
---|
13 | ! * in supporting documentation. It is provided "as is" without express
|
---|
14 | ! * or implied warranty.
|
---|
15 | ! *
|
---|
16 | !
|
---|
17 | !
|
---|
18 | ! Author(s): Thomas Bretz 12/2005 <mailto:tbretz@astro.uni-wuerzburg.de>
|
---|
19 | !
|
---|
20 | ! Copyright: MAGIC Software Development, 2000-2008
|
---|
21 | !
|
---|
22 | !
|
---|
23 | \* ======================================================================== */
|
---|
24 |
|
---|
25 | //////////////////////////////////////////////////////////////////////////////
|
---|
26 | //
|
---|
27 | // MHThreshold
|
---|
28 | //
|
---|
29 | // Class to calculate the threshold of your analysis.
|
---|
30 | //
|
---|
31 | // It fills a histogram dN/dE vs E with a fine binning. The threshold is
|
---|
32 | // determined as the logarithmic center of the bin with the maximum
|
---|
33 | // content.
|
---|
34 | //
|
---|
35 | //////////////////////////////////////////////////////////////////////////////
|
---|
36 | #include "MHThreshold.h"
|
---|
37 |
|
---|
38 | #include <TMath.h>
|
---|
39 |
|
---|
40 | #include <TF1.h>
|
---|
41 | #include <TLatex.h>
|
---|
42 | #include <TCanvas.h>
|
---|
43 | #include <TPaveStats.h>
|
---|
44 |
|
---|
45 | #include "MLog.h"
|
---|
46 | #include "MLogManip.h"
|
---|
47 |
|
---|
48 | #include "MString.h"
|
---|
49 | #include "MBinning.h"
|
---|
50 |
|
---|
51 | #include "MMcEvt.hxx"
|
---|
52 |
|
---|
53 | #include "MParList.h"
|
---|
54 |
|
---|
55 | ClassImp(MHThreshold);
|
---|
56 |
|
---|
57 | using namespace std;
|
---|
58 |
|
---|
59 | // --------------------------------------------------------------------------
|
---|
60 | //
|
---|
61 | // Creates the three necessary histograms:
|
---|
62 | // - selected showers (input)
|
---|
63 | // - all showers (input)
|
---|
64 | // - collection area (result)
|
---|
65 | //
|
---|
66 | MHThreshold::MHThreshold(const char *name, const char *title)
|
---|
67 | {
|
---|
68 | // initialize the histogram for the distribution r vs E
|
---|
69 | //
|
---|
70 | // we set the energy range from 2 Gev to 20000 GeV (in log 4 orders
|
---|
71 | // of magnitude) and for each order we take 25 subdivision --> 100 xbins
|
---|
72 | //
|
---|
73 | // we set the radius range from 0 m to 500 m with 10 m bin --> 50 ybins
|
---|
74 | //
|
---|
75 | fName = name ? name : "MHThreshold";
|
---|
76 | fTitle = title ? title : "Histogram to determin the threshold";
|
---|
77 |
|
---|
78 | fHEnergy.SetName("Threshold");
|
---|
79 | fHEnergy.SetTitle("Energy Threshold");
|
---|
80 | fHEnergy.SetXTitle("E [GeV]");
|
---|
81 | fHEnergy.SetYTitle("dN/dE [GeV^{-1}]");
|
---|
82 | fHEnergy.SetDirectory(NULL);
|
---|
83 | fHEnergy.UseCurrentStyle();
|
---|
84 |
|
---|
85 | MBinning binse(50, 20, 50000, "", "log");
|
---|
86 | binse.Apply(fHEnergy);
|
---|
87 |
|
---|
88 | fHEnergy.Sumw2();
|
---|
89 | }
|
---|
90 |
|
---|
91 | Bool_t MHThreshold::SetupFill(const MParList *pl)
|
---|
92 | {
|
---|
93 | fMcEvt = (MMcEvt*)pl->FindObject("MMcEvt");
|
---|
94 | if (!fMcEvt)
|
---|
95 | {
|
---|
96 | *fLog << err << "MMcEvt not found... abort." << endl;
|
---|
97 | return kFALSE;
|
---|
98 | }
|
---|
99 |
|
---|
100 | ApplyBinning(*pl, "Threshold", fHEnergy);
|
---|
101 |
|
---|
102 | return kTRUE;
|
---|
103 | }
|
---|
104 |
|
---|
105 | void MHThreshold::Paint(Option_t *option)
|
---|
106 | {
|
---|
107 | if (fHEnergy.GetEntries()==0)
|
---|
108 | return;
|
---|
109 |
|
---|
110 | TH1D h(fHEnergy);
|
---|
111 | h.SetDirectory(0);
|
---|
112 |
|
---|
113 | #if ROOT_VERSION_CODE<ROOT_VERSION(5,20,00)
|
---|
114 | Int_t min=1;
|
---|
115 | while (min<h.GetNbinsX() && h.GetBinContent(min)==0)
|
---|
116 | min++;
|
---|
117 | Int_t max=h.GetNbinsX();
|
---|
118 | while (max>min && h.GetBinContent(max)==0)
|
---|
119 | max--;
|
---|
120 |
|
---|
121 | if (max-min<5)
|
---|
122 | return;
|
---|
123 |
|
---|
124 | h.Smooth(1, min, max);
|
---|
125 | #else
|
---|
126 | h.Smooth(1);
|
---|
127 | #endif
|
---|
128 |
|
---|
129 | const Int_t bin = h.GetMaximumBin();
|
---|
130 | const TAxis &axe = *h.GetXaxis();
|
---|
131 |
|
---|
132 | // Assume that the energy binning is logarithmic
|
---|
133 | const Axis_t maxe = TMath::Sqrt(axe.GetBinLowEdge(bin)*axe.GetBinUpEdge(bin));
|
---|
134 |
|
---|
135 | TLatex text(0.30, 0.95, MString::Format("E_{max}=%dGeV (%dGeV,%dGeV)", TMath::Nint(maxe),
|
---|
136 | TMath::Nint(axe.GetBinLowEdge(bin)),
|
---|
137 | TMath::Nint(axe.GetBinUpEdge(bin))));
|
---|
138 | text.SetBit(TLatex::kTextNDC);
|
---|
139 | text.SetTextSize(0.04);
|
---|
140 | text.Paint();
|
---|
141 | }
|
---|
142 |
|
---|
143 | void MHThreshold::Draw(Option_t *option)
|
---|
144 | {
|
---|
145 | TVirtualPad *pad = gPad ? gPad : MakeDefCanvas(this);
|
---|
146 |
|
---|
147 | // Do the projection before painting the histograms into
|
---|
148 | // the individual pads
|
---|
149 | pad->SetBorderMode(0);
|
---|
150 |
|
---|
151 | gPad->SetLogx();
|
---|
152 | gPad->SetLogy();
|
---|
153 | gPad->SetGridx();
|
---|
154 | gPad->SetGridy();
|
---|
155 |
|
---|
156 | fHEnergy.Draw();
|
---|
157 |
|
---|
158 | AppendPad();
|
---|
159 | }
|
---|
160 |
|
---|
161 | Int_t MHThreshold::Fill(const MParContainer *par, const Stat_t weight)
|
---|
162 | {
|
---|
163 | const Double_t energy = fMcEvt->GetEnergy();
|
---|
164 |
|
---|
165 | fHEnergy.Fill(energy, weight/energy);
|
---|
166 |
|
---|
167 | return kTRUE;
|
---|
168 | }
|
---|