| 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, 3/2004 <mailto:tbretz@astro.uni-wuerzburg.de>
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| 19 | !
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| 20 | ! Copyright: MAGIC Software Development, 2000-2004
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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 | // MAlphaFitter
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| 28 | //
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| 29 | // Create a single Alpha-Plot. The alpha-plot is fitted online. You can
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| 30 | // check the result when it is filles in the MStatusDisplay
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| 31 | // For more information see MHFalseSource::FitSignificance
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| 32 | //
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| 33 | // For convinience (fit) the output significance is stored in a
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| 34 | // container in the parlisrt
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| 35 | //
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| 36 | // PRELIMINARY!
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| 37 | //
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| 38 | //////////////////////////////////////////////////////////////////////////////
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| 39 | #include "MAlphaFitter.h"
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| 40 |
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| 41 | #include <TF1.h>
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| 42 | #include <TH1.h>
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| 43 | #include <TH3.h>
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| 44 |
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| 45 | #include <TRandom.h>
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| 46 |
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| 47 | #include <TLatex.h>
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| 48 |
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| 49 | #include "MMath.h"
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| 50 |
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| 51 | #include "MLogManip.h"
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| 52 |
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| 53 | ClassImp(MAlphaFitter);
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| 54 |
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| 55 | using namespace std;
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| 56 |
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| 57 | void MAlphaFitter::Clear(Option_t *o)
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| 58 | {
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| 59 | fSignificance=0;
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| 60 | fEventsExcess=0;
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| 61 | fEventsSignal=0;
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| 62 | fEventsBackground=0;
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| 63 |
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| 64 | fChiSqSignal=0;
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| 65 | fChiSqBg=0;
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| 66 | fIntegralMax=0;
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| 67 |
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| 68 | fCoefficients.Reset();
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| 69 | }
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| 70 |
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| 71 | // --------------------------------------------------------------------------
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| 72 | //
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| 73 | // This is a preliminary implementation of a alpha-fit procedure for
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| 74 | // all possible source positions. It will be moved into its own
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| 75 | // more powerfull class soon.
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| 76 | //
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| 77 | // The fit function is "gaus(0)+pol2(3)" which is equivalent to:
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| 78 | // [0]*exp(-0.5*((x-[1])/[2])^2) + [3] + [4]*x + [5]*x^2
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| 79 | // or
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| 80 | // A*exp(-0.5*((x-mu)/sigma)^2) + a + b*x + c*x^2
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| 81 | //
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| 82 | // Parameter [1] is fixed to 0 while the alpha peak should be
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| 83 | // symmetric around alpha=0.
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| 84 | //
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| 85 | // Parameter [4] is fixed to 0 because the first derivative at
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| 86 | // alpha=0 should be 0, too.
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| 87 | //
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| 88 | // In a first step the background is fitted between bgmin and bgmax,
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| 89 | // while the parameters [0]=0 and [2]=1 are fixed.
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| 90 | //
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| 91 | // In a second step the signal region (alpha<sigmax) is fittet using
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| 92 | // the whole function with parameters [1], [3], [4] and [5] fixed.
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| 93 | //
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| 94 | // The number of excess and background events are calculated as
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| 95 | // s = int(hist, 0, 1.25*sigint)
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| 96 | // b = int(pol2(3), 0, 1.25*sigint)
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| 97 | //
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| 98 | // The Significance is calculated using the Significance() member
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| 99 | // function.
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| 100 | //
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| 101 | Bool_t MAlphaFitter::Fit(TH1D &h, Bool_t paint)
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| 102 | {
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| 103 | Clear();
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| 104 | if (h.GetEntries()==0)
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| 105 | return kFALSE;
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| 106 |
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| 107 | Double_t sigmax=fSigMax;
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| 108 | Double_t bgmin =fBgMin;
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| 109 | Double_t bgmax =fBgMax;
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| 110 |
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| 111 | //*fLog << inf << "Fit: " << sigmax << " " << fSigInt << " " << bgmin << " " << bgmax << endl;
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| 112 |
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| 113 | //TF1 fFunc("", Form("gaus(0) + pol%d(3)", fPolynomOrder), 0, 90);
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| 114 |
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| 115 | //fFunc->SetParameters(fCoefficients.GetArray());
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| 116 |
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| 117 | fFunc->FixParameter(1, 0);
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| 118 | fFunc->FixParameter(4, 0);
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| 119 | fFunc->SetParLimits(2, 0, 90);
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| 120 | fFunc->SetParLimits(3, -1, 1);
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| 121 |
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| 122 | const Double_t alpha0 = h.GetBinContent(1);
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| 123 | const Double_t alphaw = h.GetXaxis()->GetBinWidth(1);
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| 124 |
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| 125 | // Check for the regios which is not filled...
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| 126 | if (alpha0==0)
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| 127 | return kFALSE; //*fLog << warn << "Histogram empty." << endl;
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| 128 |
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| 129 | // First fit a polynom in the off region
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| 130 | fFunc->FixParameter(0, 0);
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| 131 | fFunc->FixParameter(2, 1);
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| 132 | fFunc->ReleaseParameter(3);
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| 133 |
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| 134 | for (int i=5; i<fFunc->GetNpar(); i++)
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| 135 | fFunc->ReleaseParameter(i);
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| 136 |
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| 137 | // options : N do not store the function, do not draw
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| 138 | // I use integral of function in bin rather than value at bin center
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| 139 | // R use the range specified in the function range
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| 140 | // Q quiet mode
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| 141 | h.Fit(fFunc, "NQI", "", bgmin, bgmax);
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| 142 |
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| 143 | fChiSqBg = fFunc->GetChisquare()/fFunc->GetNDF();
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| 144 |
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| 145 | // ------------------------------------
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| 146 | if (paint)
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| 147 | {
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| 148 | fFunc->SetRange(0, 90);
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| 149 | fFunc->SetLineColor(kRed);
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| 150 | fFunc->SetLineWidth(2);
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| 151 | fFunc->Paint("same");
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| 152 | }
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| 153 | // ------------------------------------
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| 154 |
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| 155 | fFunc->ReleaseParameter(0);
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| 156 | //func.ReleaseParameter(1);
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| 157 | fFunc->ReleaseParameter(2);
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| 158 | fFunc->FixParameter(3, fFunc->GetParameter(3));
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| 159 | for (int i=5; i<fFunc->GetNpar(); i++)
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| 160 | fFunc->FixParameter(i, fFunc->GetParameter(i));
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| 161 |
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| 162 | // Do not allow signals smaller than the background
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| 163 | const Double_t A = alpha0-fFunc->GetParameter(3);
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| 164 | const Double_t dA = TMath::Abs(A);
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| 165 | fFunc->SetParLimits(0, -dA*4, dA*4);
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| 166 | fFunc->SetParLimits(2, 0, 90);
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| 167 |
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| 168 | // Now fit a gaus in the on region on top of the polynom
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| 169 | fFunc->SetParameter(0, A);
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| 170 | fFunc->SetParameter(2, sigmax*0.75);
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| 171 |
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| 172 | // options : N do not store the function, do not draw
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| 173 | // I use integral of function in bin rather than value at bin center
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| 174 | // R use the range specified in the function range
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| 175 | // Q quiet mode
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| 176 | h.Fit(fFunc, "NQI", "", 0, sigmax);
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| 177 |
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| 178 | fChiSqSignal = fFunc->GetChisquare()/fFunc->GetNDF();
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| 179 | fCoefficients.Set(fFunc->GetNpar(), fFunc->GetParameters());
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| 180 |
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| 181 | //const Bool_t ok = NDF>0 && chi2<2.5*NDF;
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| 182 |
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| 183 | // ------------------------------------
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| 184 | if (paint)
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| 185 | {
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| 186 | fFunc->SetLineColor(kGreen);
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| 187 | fFunc->SetLineWidth(2);
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| 188 | fFunc->Paint("same");
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| 189 | }
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| 190 | // ------------------------------------
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| 191 |
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| 192 | //const Double_t s = fFunc->Integral(0, fSigInt)/alphaw;
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| 193 | fFunc->SetParameter(0, 0);
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| 194 | fFunc->SetParameter(2, 1);
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| 195 | //const Double_t b = fFunc->Integral(0, fSigInt)/alphaw;
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| 196 | //fSignificance = MMath::SignificanceLiMaSigned(s, b);
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| 197 |
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| 198 | const Int_t bin = h.GetXaxis()->FindFixBin(fSigInt*0.999);
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| 199 |
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| 200 | fIntegralMax = h.GetBinLowEdge(bin+1);
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| 201 | fEventsBackground = fFunc->Integral(0, fIntegralMax)/alphaw;
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| 202 | fEventsSignal = h.Integral(0, bin);
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| 203 | fEventsExcess = fEventsSignal-fEventsBackground;
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| 204 | fSignificance = MMath::SignificanceLiMaSigned(fEventsSignal, fEventsBackground);
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| 205 |
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| 206 | if (fEventsExcess<0)
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| 207 | fEventsExcess=0;
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| 208 |
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| 209 | return kTRUE;
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| 210 | }
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| 211 |
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| 212 | Bool_t MAlphaFitter::Fit(TH1D &hon, TH1D &hof, Bool_t paint)
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| 213 | {
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| 214 | /*
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| 215 | Clear();
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| 216 | if (hon.GetEntries()==0)
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| 217 | return kFALSE;
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| 218 | */
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| 219 |
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| 220 | TH1D h(hon);
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| 221 | h.Add(&hof, -1);
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| 222 |
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| 223 | MAlphaFitter fit(*this);
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| 224 | fit.SetPolynomOrder(1);
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| 225 |
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| 226 | if (!fit.Fit(h, paint))
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| 227 | return kFALSE;
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| 228 |
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| 229 | fChiSqSignal = fit.GetChiSqSignal();
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| 230 | fChiSqBg = fit.GetChiSqBg();
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| 231 | fCoefficients = fit.GetCoefficients();
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| 232 |
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| 233 | const Int_t bin = hon.GetXaxis()->FindFixBin(fSigInt*0.999);
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| 234 |
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| 235 | fIntegralMax = hon.GetBinLowEdge(bin+1);
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| 236 | fEventsBackground = hof.Integral(0, bin);
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| 237 | fEventsSignal = hon.Integral(0, bin);
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| 238 | fEventsExcess = fEventsSignal-fEventsBackground;
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| 239 | fSignificance = MMath::SignificanceLiMaSigned(fEventsSignal, fEventsBackground);
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| 240 |
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| 241 | if (fEventsExcess<0)
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| 242 | fEventsExcess=0;
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| 243 | /*
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| 244 | TF1 func("", "gaus(0)+pol0(3)", 0., 90.);
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| 245 |
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| 246 | const Double_t A = fEventsSignal/bin;
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| 247 | const Double_t dA = TMath::Abs(A);
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| 248 | func.SetParLimits(0, -dA*4, dA*4);
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| 249 | func.SetParLimits(2, 0, 90);
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| 250 | func.SetParLimits(3, -dA, dA);
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| 251 |
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| 252 | func.SetParameter(0, A);
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| 253 | func.FixParameter(1, 0);
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| 254 | func.SetParameter(2, fSigMax*0.75);
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| 255 | func.SetParameter(3, 0);
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| 256 |
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| 257 | // options : N do not store the function, do not draw
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| 258 | // I use integral of function in bin rather than value at bin center
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| 259 | // R use the range specified in the function range
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| 260 | // Q quiet mode
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| 261 | TH1D h(hon);
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| 262 | h.Add(&hof, -1);
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| 263 | h.Fit(&func, "NQI", "", 0, 90);
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| 264 |
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| 265 | fChiSqSignal = func.GetChisquare()/func.GetNDF();
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| 266 |
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| 267 | const Int_t bin1 = h.GetXaxis()->FindFixBin(func.GetParameter(2)*2);
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| 268 |
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| 269 | fChiSqBg = 0;
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| 270 | for (int i=bin1; i<=h.GetNbinsX(); i++)
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| 271 | {
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| 272 | const Float_t val = h.GetBinContent(i);
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| 273 | fChiSqBg = val*val;
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| 274 | }
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| 275 | if (fChiSqBg>0)
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| 276 | fChiSqBg /= h.GetNbinsX()+1-bin1;
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| 277 |
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| 278 | fCoefficients.Set(func.GetNpar(), func.GetParameters());
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| 279 |
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| 280 | // ------------------------------------
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| 281 | if (paint)
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| 282 | {
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| 283 | func.SetLineColor(kBlue);
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| 284 | func.SetLineWidth(2);
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| 285 | func.Paint("same");
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| 286 | }
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| 287 | // ------------------------------------
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| 288 | */
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| 289 | return kTRUE;
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| 290 | }
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| 291 |
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| 292 | void MAlphaFitter::PaintResult(Float_t x, Float_t y, Float_t size) const
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| 293 | {
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| 294 | TLatex text(x, y, Form("\\sigma_{Li/Ma}=%.1f \\omega=%.1f\\circ E=%d (\\alpha<%.1f\\circ) (\\chi_{b}^{2}/ndf=%.1f \\chi_{s}^{2}/ndf=%.1f c_{0}=%.1f)",
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| 295 | fSignificance, GetGausSigma(),
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| 296 | (int)fEventsExcess, fIntegralMax,
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| 297 | fChiSqBg, fChiSqSignal, fCoefficients[3]));
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| 298 |
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| 299 | text.SetBit(TLatex::kTextNDC);
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| 300 | text.SetTextSize(size);
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| 301 | text.Paint();
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| 302 | }
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| 303 |
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| 304 | void MAlphaFitter::Copy(TObject &o) const
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| 305 | {
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| 306 | MAlphaFitter &f = static_cast<MAlphaFitter&>(o);
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| 307 |
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| 308 | f.fSigInt = fSigInt;
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| 309 | f.fSigMax = fSigMax;
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| 310 | f.fBgMin = fBgMin;
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| 311 | f.fBgMax = fBgMax;
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| 312 | f.fScaleMin = fScaleMin;
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| 313 | f.fScaleMax = fScaleMax;
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| 314 | f.fPolynomOrder = fPolynomOrder;
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| 315 | f.fScaleMode = fScaleMode;
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| 316 | f.fScaleUser = fScaleUser;
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| 317 | f.fCoefficients.Set(fCoefficients.GetSize());
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| 318 | f.fCoefficients.Reset();
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| 319 |
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| 320 | TF1 *fcn = f.fFunc;
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| 321 | f.fFunc = new TF1(*fFunc);
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| 322 | gROOT->GetListOfFunctions()->Remove(f.fFunc);
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| 323 | f.fFunc->SetName("Dummy");
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| 324 | delete fcn;
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| 325 | }
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| 326 |
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| 327 | void MAlphaFitter::Print(Option_t *o) const
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| 328 | {
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| 329 | *fLog << inf << GetDescriptor() << ": Fitting..." << endl;
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| 330 | *fLog << " ...background from " << fBgMin << " to " << fBgMax << endl;
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| 331 | *fLog << " ...signal to " << fSigMax << " (integrate into bin at " << fSigInt << ")" << endl;
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| 332 | *fLog << " ...polynom order " << fPolynomOrder << endl;
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| 333 | *fLog << " ...scale mode: ";
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| 334 | switch (fScaleMode)
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| 335 | {
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| 336 | case kNone: *fLog << "none."; break;
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| 337 | case kEntries: *fLog << "entries."; break;
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| 338 | case kIntegral: *fLog << "integral."; break;
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| 339 | case kOffRegion: *fLog << "off region."; break;
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| 340 | case kLeastSquare: *fLog << "least square."; break;
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| 341 | case kUserScale: *fLog << "user def (" << fScaleUser << ")"; break;
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| 342 | }
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| 343 | *fLog << endl;
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| 344 |
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| 345 | if (TString(o).Contains("result"))
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| 346 | {
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| 347 | *fLog << "Result:" << endl;
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| 348 | *fLog << " - Significance " << fSignificance << endl;
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| 349 | *fLog << " - Excess Events " << fEventsExcess << endl;
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| 350 | *fLog << " - Signal Events " << fEventsSignal << endl;
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| 351 | *fLog << " - Background Events " << fEventsBackground << endl;
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| 352 | *fLog << " - Chi^2/ndf (Signal) " << fChiSqSignal << endl;
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| 353 | *fLog << " - Chi^2/ndf (Background) " << fChiSqBg << endl;
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| 354 | *fLog << " - Signal integrated " << fIntegralMax << "°" << endl;
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| 355 | }
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| 356 | }
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| 357 |
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| 358 | Bool_t MAlphaFitter::FitEnergy(const TH3D &hon, UInt_t bin, Bool_t paint)
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| 359 | {
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| 360 | const TString name(Form("TempAlphaEnergy%06d", gRandom->Integer(1000000)));
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| 361 | TH1D *h = hon.ProjectionZ(name, -1, 9999, bin, bin, "E");
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| 362 | h->SetDirectory(0);
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| 363 |
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| 364 | const Bool_t rc = Fit(*h, paint);
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| 365 | delete h;
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| 366 | return rc;
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| 367 | }
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| 368 |
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| 369 | Bool_t MAlphaFitter::FitTheta(const TH3D &hon, UInt_t bin, Bool_t paint)
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| 370 | {
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| 371 | const TString name(Form("TempAlphaTheta%06d", gRandom->Integer(1000000)));
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| 372 | TH1D *h = hon.ProjectionZ(name, bin, bin, -1, 9999, "E");
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| 373 | h->SetDirectory(0);
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| 374 |
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| 375 | const Bool_t rc = Fit(*h, paint);
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| 376 | delete h;
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| 377 | return rc;
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| 378 | }
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| 379 |
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| 380 | Bool_t MAlphaFitter::FitAlpha(const TH3D &hon, Bool_t paint)
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| 381 | {
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| 382 | const TString name(Form("TempAlpha%06d", gRandom->Integer(1000000)));
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| 383 | TH1D *h = hon.ProjectionZ(name, -1, 9999, -1, 9999, "E");
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| 384 | h->SetDirectory(0);
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| 385 |
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| 386 | const Bool_t rc = Fit(*h, paint);
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| 387 | delete h;
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| 388 | return rc;
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| 389 | }
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| 390 |
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| 391 | Bool_t MAlphaFitter::FitEnergy(const TH3D &hon, const TH3D &hof, UInt_t bin, Bool_t paint)
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| 392 | {
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| 393 | const TString name1(Form("TempAlpha%06d_on", gRandom->Integer(1000000)));
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| 394 | const TString name0(Form("TempAlpha%06d_off", gRandom->Integer(1000000)));
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| 395 | TH1D *h1 = hon.ProjectionZ(name1, -1, 9999, bin, bin, "E");
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| 396 | TH1D *h0 = hof.ProjectionZ(name0, -1, 9999, bin, bin, "E");
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| 397 | h1->SetDirectory(0);
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| 398 | h0->SetDirectory(0);
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| 399 |
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| 400 | Scale(*h0, *h1);
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| 401 |
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| 402 | const Bool_t rc = Fit(*h1, *h0, paint);
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| 403 |
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| 404 | delete h0;
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| 405 | delete h1;
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| 406 |
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| 407 | return rc;
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| 408 | }
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| 409 |
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| 410 | Bool_t MAlphaFitter::FitTheta(const TH3D &hon, const TH3D &hof, UInt_t bin, Bool_t paint)
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| 411 | {
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| 412 | const TString name1(Form("TempAlpha%06d_on", gRandom->Integer(1000000)));
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| 413 | const TString name0(Form("TempAlpha%06d_off", gRandom->Integer(1000000)));
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| 414 |
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| 415 | TH1D *h1 = hon.ProjectionZ(name1, bin, bin, -1, 9999, "E");
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| 416 | TH1D *h0 = hof.ProjectionZ(name0, bin, bin, -1, 9999, "E");
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| 417 | h1->SetDirectory(0);
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| 418 | h0->SetDirectory(0);
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| 419 |
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| 420 | Scale(*h0, *h1);
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| 421 |
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| 422 | const Bool_t rc = Fit(*h1, *h0, paint);
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| 423 |
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| 424 | delete h0;
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| 425 | delete h1;
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| 426 |
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| 427 | return rc;
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| 428 | }
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| 429 |
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| 430 | Bool_t MAlphaFitter::FitAlpha(const TH3D &hon, const TH3D &hof, Bool_t paint)
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| 431 | {
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| 432 | const TString name1(Form("TempAlpha%06d_on", gRandom->Integer(1000000)));
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| 433 | const TString name0(Form("TempAlpha%06d_off", gRandom->Integer(1000000)));
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| 434 |
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| 435 | TH1D *h1 = hon.ProjectionZ(name1, -1, 9999, -1, 9999, "E");
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| 436 | TH1D *h0 = hof.ProjectionZ(name0, -1, 9999, -1, 9999, "E");
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| 437 | h1->SetDirectory(0);
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| 438 | h0->SetDirectory(0);
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| 439 |
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| 440 | Scale(*h0, *h1);
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| 441 |
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| 442 | const Bool_t rc = Fit(*h1, *h0, paint);
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| 443 |
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| 444 | delete h0;
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| 445 | delete h1;
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| 446 |
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| 447 | return rc;
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|---|
| 448 | }
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| 449 |
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| 450 | void MAlphaFitter::Scale(TH1D &of, const TH1D &on) const
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| 451 | {
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|---|
| 452 | Float_t scaleon = 1;
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| 453 | Float_t scaleof = 1;
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|---|
| 454 | switch (fScaleMode)
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|---|
| 455 | {
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|---|
| 456 | case kNone:
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|---|
| 457 | return;
|
|---|
| 458 |
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|---|
| 459 | case kEntries:
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|---|
| 460 | scaleon = on.GetEntries();
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|---|
| 461 | scaleof = of.GetEntries();
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|---|
| 462 | break;
|
|---|
| 463 |
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|---|
| 464 | case kIntegral:
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|---|
| 465 | scaleon = on.Integral();
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|---|
| 466 | scaleof = of.Integral();
|
|---|
| 467 | break;
|
|---|
| 468 |
|
|---|
| 469 | case kOffRegion:
|
|---|
| 470 | {
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|---|
| 471 | const Int_t min = on.GetXaxis()->FindFixBin(fScaleMin);
|
|---|
| 472 | const Int_t max = on.GetXaxis()->FindFixBin(fScaleMax);
|
|---|
| 473 | scaleon = on.Integral(min, max);
|
|---|
| 474 | scaleof = of.Integral(min, max);
|
|---|
| 475 | }
|
|---|
| 476 | break;
|
|---|
| 477 |
|
|---|
| 478 | case kUserScale:
|
|---|
| 479 | scaleon = fScaleUser;
|
|---|
| 480 | break;
|
|---|
| 481 |
|
|---|
| 482 | default:
|
|---|
| 483 | return;
|
|---|
| 484 | }
|
|---|
| 485 |
|
|---|
| 486 | if (scaleof!=0)
|
|---|
| 487 | of.Scale(scaleon/scaleof);
|
|---|
| 488 | }
|
|---|