| 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 | fScaleFactor=1;
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| 68 |
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| 69 | fCoefficients.Reset();
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| 70 | }
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| 71 |
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| 72 | // --------------------------------------------------------------------------
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| 73 | //
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| 74 | // This is a preliminary implementation of a alpha-fit procedure for
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| 75 | // all possible source positions. It will be moved into its own
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| 76 | // more powerfull class soon.
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| 77 | //
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| 78 | // The fit function is "gaus(0)+pol2(3)" which is equivalent to:
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| 79 | // [0]*exp(-0.5*((x-[1])/[2])^2) + [3] + [4]*x + [5]*x^2
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| 80 | // or
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| 81 | // A*exp(-0.5*((x-mu)/sigma)^2) + a + b*x + c*x^2
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| 82 | //
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| 83 | // Parameter [1] is fixed to 0 while the alpha peak should be
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| 84 | // symmetric around alpha=0.
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| 85 | //
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| 86 | // Parameter [4] is fixed to 0 because the first derivative at
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| 87 | // alpha=0 should be 0, too.
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| 88 | //
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| 89 | // In a first step the background is fitted between bgmin and bgmax,
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| 90 | // while the parameters [0]=0 and [2]=1 are fixed.
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| 91 | //
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| 92 | // In a second step the signal region (alpha<sigmax) is fittet using
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| 93 | // the whole function with parameters [1], [3], [4] and [5] fixed.
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| 94 | //
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| 95 | // The number of excess and background events are calculated as
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| 96 | // s = int(hist, 0, 1.25*sigint)
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| 97 | // b = int(pol2(3), 0, 1.25*sigint)
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| 98 | //
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| 99 | // The Significance is calculated using the Significance() member
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| 100 | // function.
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| 101 | //
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| 102 | Bool_t MAlphaFitter::Fit(TH1D &h, Bool_t paint)
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| 103 | {
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| 104 | Clear();
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| 105 | if (h.GetEntries()==0)
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| 106 | return kFALSE;
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| 107 |
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| 108 | Double_t sigmax=fSigMax;
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| 109 | Double_t bgmin =fBgMin;
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| 110 | Double_t bgmax =fBgMax;
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| 111 |
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| 112 | //*fLog << inf << "Fit: " << sigmax << " " << fSigInt << " " << bgmin << " " << bgmax << endl;
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| 113 |
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| 114 | //TF1 fFunc("", Form("gaus(0) + pol%d(3)", fPolynomOrder), 0, 90);
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| 115 |
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| 116 | //fFunc->SetParameters(fCoefficients.GetArray());
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| 117 |
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| 118 | fFunc->FixParameter(1, 0);
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| 119 | fFunc->FixParameter(4, 0);
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| 120 | fFunc->SetParLimits(2, 0, 90);
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| 121 | fFunc->SetParLimits(3, -1, 1);
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| 122 |
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| 123 | const Double_t alpha0 = h.GetBinContent(1);
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| 124 | const Double_t alphaw = h.GetXaxis()->GetBinWidth(1);
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| 125 |
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| 126 | // Check for the regios which is not filled...
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| 127 | if (alpha0==0)
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| 128 | return kFALSE; //*fLog << warn << "Histogram empty." << endl;
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| 129 |
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| 130 | // First fit a polynom in the off region
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| 131 | fFunc->FixParameter(0, 0);
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| 132 | fFunc->FixParameter(2, 1);
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| 133 | fFunc->ReleaseParameter(3);
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| 134 |
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| 135 | for (int i=5; i<fFunc->GetNpar(); i++)
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| 136 | fFunc->ReleaseParameter(i);
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| 137 |
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| 138 | // options : N do not store the function, do not draw
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| 139 | // I use integral of function in bin rather than value at bin center
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| 140 | // R use the range specified in the function range
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| 141 | // Q quiet mode
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| 142 | h.Fit(fFunc, "NQI", "", bgmin, bgmax);
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| 143 |
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| 144 | fChiSqBg = fFunc->GetChisquare()/fFunc->GetNDF();
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| 145 |
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| 146 | // ------------------------------------
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| 147 | if (paint)
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| 148 | {
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| 149 | fFunc->SetRange(0, 90);
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| 150 | fFunc->SetLineColor(kRed);
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| 151 | fFunc->SetLineWidth(2);
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| 152 | fFunc->Paint("same");
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| 153 | }
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| 154 | // ------------------------------------
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| 155 |
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| 156 | fFunc->ReleaseParameter(0);
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| 157 | //func.ReleaseParameter(1);
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| 158 | fFunc->ReleaseParameter(2);
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| 159 | fFunc->FixParameter(3, fFunc->GetParameter(3));
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| 160 | for (int i=5; i<fFunc->GetNpar(); i++)
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| 161 | fFunc->FixParameter(i, fFunc->GetParameter(i));
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| 162 |
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| 163 | // Do not allow signals smaller than the background
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| 164 | const Double_t A = alpha0-fFunc->GetParameter(3);
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| 165 | const Double_t dA = TMath::Abs(A);
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| 166 | fFunc->SetParLimits(0, -dA*4, dA*4);
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| 167 | fFunc->SetParLimits(2, 0, 90);
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| 168 |
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| 169 | // Now fit a gaus in the on region on top of the polynom
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| 170 | fFunc->SetParameter(0, A);
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| 171 | fFunc->SetParameter(2, sigmax*0.75);
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| 172 |
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| 173 | // options : N do not store the function, do not draw
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| 174 | // I use integral of function in bin rather than value at bin center
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| 175 | // R use the range specified in the function range
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| 176 | // Q quiet mode
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| 177 | h.Fit(fFunc, "NQI", "", 0, sigmax);
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| 178 |
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| 179 | fChiSqSignal = fFunc->GetChisquare()/fFunc->GetNDF();
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| 180 | fCoefficients.Set(fFunc->GetNpar(), fFunc->GetParameters());
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| 181 |
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| 182 | //const Bool_t ok = NDF>0 && chi2<2.5*NDF;
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| 183 |
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| 184 | // ------------------------------------
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| 185 | if (paint)
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| 186 | {
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| 187 | fFunc->SetLineColor(kGreen);
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| 188 | fFunc->SetLineWidth(2);
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| 189 | fFunc->Paint("same");
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| 190 | }
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| 191 | // ------------------------------------
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| 192 |
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| 193 | //const Double_t s = fFunc->Integral(0, fSigInt)/alphaw;
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| 194 | fFunc->SetParameter(0, 0);
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| 195 | fFunc->SetParameter(2, 1);
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| 196 | //const Double_t b = fFunc->Integral(0, fSigInt)/alphaw;
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| 197 | //fSignificance = MMath::SignificanceLiMaSigned(s, b);
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| 198 |
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| 199 | const Int_t bin = h.GetXaxis()->FindFixBin(fSigInt*0.999);
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| 200 |
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| 201 | fIntegralMax = h.GetBinLowEdge(bin+1);
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| 202 | fEventsBackground = fFunc->Integral(0, fIntegralMax)/alphaw;
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| 203 | fEventsSignal = h.Integral(0, bin);
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| 204 | fEventsExcess = fEventsSignal-fEventsBackground;
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| 205 | fSignificance = MMath::SignificanceLiMaSigned(fEventsSignal, fEventsBackground);
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| 206 |
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| 207 | if (fEventsExcess<0)
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| 208 | fEventsExcess=0;
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| 209 |
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| 210 | return kTRUE;
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| 211 | }
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| 212 |
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| 213 | Bool_t MAlphaFitter::Fit(TH1D &hon, TH1D &hof, Double_t alpha, Bool_t paint)
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| 214 | {
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| 215 | /*
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| 216 | Clear();
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| 217 | if (hon.GetEntries()==0)
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| 218 | return kFALSE;
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| 219 | */
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| 220 |
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| 221 | TH1D h(hon);
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| 222 | h.Add(&hof, -1);
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| 223 |
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| 224 | MAlphaFitter fit(*this);
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| 225 | fit.SetPolynomOrder(1);
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| 226 |
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| 227 | if (alpha<=0 || !fit.Fit(h, paint))
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| 228 | return kFALSE;
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| 229 |
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| 230 | fChiSqSignal = fit.GetChiSqSignal();
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| 231 | fChiSqBg = fit.GetChiSqBg();
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| 232 | fCoefficients = fit.GetCoefficients();
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| 233 |
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| 234 | const Int_t bin = hon.GetXaxis()->FindFixBin(fSigInt*0.999);
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| 235 |
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| 236 | fIntegralMax = hon.GetBinLowEdge(bin+1);
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| 237 | fEventsBackground = hof.Integral(0, bin);
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| 238 | fEventsSignal = hon.Integral(0, bin);
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| 239 | fEventsExcess = fEventsSignal-fEventsBackground;
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| 240 | fScaleFactor = alpha;
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| 241 | fSignificance = MMath::SignificanceLiMaSigned(fEventsSignal, fEventsBackground/alpha, alpha);
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| 242 |
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| 243 | if (fEventsExcess<0)
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| 244 | fEventsExcess=0;
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| 245 | /*
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| 246 | TF1 func("", "gaus(0)+pol0(3)", 0., 90.);
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| 247 |
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| 248 | const Double_t A = fEventsSignal/bin;
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| 249 | const Double_t dA = TMath::Abs(A);
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| 250 | func.SetParLimits(0, -dA*4, dA*4);
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| 251 | func.SetParLimits(2, 0, 90);
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| 252 | func.SetParLimits(3, -dA, dA);
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| 253 |
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| 254 | func.SetParameter(0, A);
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| 255 | func.FixParameter(1, 0);
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| 256 | func.SetParameter(2, fSigMax*0.75);
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| 257 | func.SetParameter(3, 0);
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| 258 |
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| 259 | // options : N do not store the function, do not draw
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| 260 | // I use integral of function in bin rather than value at bin center
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| 261 | // R use the range specified in the function range
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| 262 | // Q quiet mode
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| 263 | TH1D h(hon);
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| 264 | h.Add(&hof, -1);
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| 265 | h.Fit(&func, "NQI", "", 0, 90);
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| 266 |
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| 267 | fChiSqSignal = func.GetChisquare()/func.GetNDF();
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| 268 |
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| 269 | const Int_t bin1 = h.GetXaxis()->FindFixBin(func.GetParameter(2)*2);
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| 270 |
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| 271 | fChiSqBg = 0;
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| 272 | for (int i=bin1; i<=h.GetNbinsX(); i++)
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| 273 | {
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| 274 | const Float_t val = h.GetBinContent(i);
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| 275 | fChiSqBg = val*val;
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| 276 | }
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| 277 | if (fChiSqBg>0)
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| 278 | fChiSqBg /= h.GetNbinsX()+1-bin1;
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| 279 |
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| 280 | fCoefficients.Set(func.GetNpar(), func.GetParameters());
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| 281 |
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| 282 | // ------------------------------------
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| 283 | if (paint)
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| 284 | {
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| 285 | func.SetLineColor(kBlue);
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| 286 | func.SetLineWidth(2);
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| 287 | func.Paint("same");
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| 288 | }
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| 289 | // ------------------------------------
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| 290 | */
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| 291 | return kTRUE;
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| 292 | }
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| 293 |
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| 294 | void MAlphaFitter::PaintResult(Float_t x, Float_t y, Float_t size) const
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| 295 | {
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| 296 | 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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| 297 | fSignificance, GetGausSigma(),
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| 298 | (int)fEventsExcess, fIntegralMax,
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| 299 | fChiSqBg, fChiSqSignal, fCoefficients[3]));
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| 300 |
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| 301 | text.SetBit(TLatex::kTextNDC);
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| 302 | text.SetTextSize(size);
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| 303 | text.Paint();
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| 304 | }
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| 305 |
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| 306 | void MAlphaFitter::Copy(TObject &o) const
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| 307 | {
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| 308 | MAlphaFitter &f = static_cast<MAlphaFitter&>(o);
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| 309 |
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| 310 | f.fSigInt = fSigInt;
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| 311 | f.fSigMax = fSigMax;
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| 312 | f.fBgMin = fBgMin;
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| 313 | f.fBgMax = fBgMax;
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| 314 | f.fScaleMin = fScaleMin;
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| 315 | f.fScaleMax = fScaleMax;
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| 316 | f.fPolynomOrder = fPolynomOrder;
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| 317 | f.fScaleMode = fScaleMode;
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| 318 | f.fScaleUser = fScaleUser;
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| 319 | f.fCoefficients.Set(fCoefficients.GetSize());
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| 320 | f.fCoefficients.Reset();
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| 321 |
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| 322 | TF1 *fcn = f.fFunc;
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| 323 | f.fFunc = new TF1(*fFunc);
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| 324 | gROOT->GetListOfFunctions()->Remove(f.fFunc);
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| 325 | f.fFunc->SetName("Dummy");
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| 326 | delete fcn;
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| 327 | }
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| 328 |
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| 329 | void MAlphaFitter::Print(Option_t *o) const
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| 330 | {
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| 331 | *fLog << inf << GetDescriptor() << ": Fitting..." << endl;
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| 332 | *fLog << " ...background from " << fBgMin << " to " << fBgMax << endl;
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| 333 | *fLog << " ...signal to " << fSigMax << " (integrate into bin at " << fSigInt << ")" << endl;
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| 334 | *fLog << " ...polynom order " << fPolynomOrder << endl;
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| 335 | *fLog << " ...scale mode: ";
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| 336 | switch (fScaleMode)
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| 337 | {
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| 338 | case kNone: *fLog << "none."; break;
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| 339 | case kEntries: *fLog << "entries."; break;
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| 340 | case kIntegral: *fLog << "integral."; break;
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| 341 | case kOffRegion: *fLog << "off region."; break;
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| 342 | case kLeastSquare: *fLog << "least square."; break;
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| 343 | case kUserScale: *fLog << "user def (" << fScaleUser << ")"; break;
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| 344 | }
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| 345 | *fLog << endl;
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| 346 |
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| 347 | if (TString(o).Contains("result"))
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| 348 | {
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| 349 | *fLog << "Result:" << endl;
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| 350 | *fLog << " - Significance " << fSignificance << endl;
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| 351 | *fLog << " - Excess Events " << fEventsExcess << endl;
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| 352 | *fLog << " - Signal Events " << fEventsSignal << endl;
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| 353 | *fLog << " - Background Events " << fEventsBackground << endl;
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| 354 | *fLog << " - Chi^2/ndf (Signal) " << fChiSqSignal << endl;
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| 355 | *fLog << " - Chi^2/ndf (Background) " << fChiSqBg << endl;
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| 356 | *fLog << " - Signal integrated " << fIntegralMax << "°" << endl;
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| 357 | }
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| 358 | }
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| 359 |
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| 360 | Bool_t MAlphaFitter::FitEnergy(const TH3D &hon, UInt_t bin, Bool_t paint)
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| 361 | {
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| 362 | const TString name(Form("TempAlphaEnergy%06d", gRandom->Integer(1000000)));
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| 363 | TH1D *h = hon.ProjectionZ(name, -1, 9999, bin, bin, "E");
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| 364 | h->SetDirectory(0);
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| 365 |
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| 366 | const Bool_t rc = Fit(*h, paint);
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| 367 | delete h;
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| 368 | return rc;
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| 369 | }
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| 370 |
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| 371 | Bool_t MAlphaFitter::FitTheta(const TH3D &hon, UInt_t bin, Bool_t paint)
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| 372 | {
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| 373 | const TString name(Form("TempAlphaTheta%06d", gRandom->Integer(1000000)));
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| 374 | TH1D *h = hon.ProjectionZ(name, bin, bin, -1, 9999, "E");
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| 375 | h->SetDirectory(0);
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| 376 |
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| 377 | const Bool_t rc = Fit(*h, paint);
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| 378 | delete h;
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| 379 | return rc;
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| 380 | }
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| 381 |
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| 382 | Bool_t MAlphaFitter::FitAlpha(const TH3D &hon, Bool_t paint)
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| 383 | {
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| 384 | const TString name(Form("TempAlpha%06d", gRandom->Integer(1000000)));
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| 385 | TH1D *h = hon.ProjectionZ(name, -1, 9999, -1, 9999, "E");
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| 386 | h->SetDirectory(0);
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| 387 |
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| 388 | const Bool_t rc = Fit(*h, paint);
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| 389 | delete h;
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| 390 | return rc;
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| 391 | }
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| 392 |
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| 393 | Bool_t MAlphaFitter::FitEnergy(const TH3D &hon, const TH3D &hof, UInt_t bin, Bool_t paint)
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| 394 | {
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| 395 | const TString name1(Form("TempAlpha%06d_on", gRandom->Integer(1000000)));
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| 396 | const TString name0(Form("TempAlpha%06d_off", gRandom->Integer(1000000)));
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| 397 |
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| 398 | TH1D *h1 = hon.ProjectionZ(name1, -1, 9999, bin, bin, "E");
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| 399 | TH1D *h0 = hof.ProjectionZ(name0, -1, 9999, bin, bin, "E");
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| 400 | h1->SetDirectory(0);
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| 401 | h0->SetDirectory(0);
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| 402 |
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| 403 | const Bool_t rc = ScaleAndFit(*h1, h0, paint);
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| 404 |
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| 405 | delete h0;
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| 406 | delete h1;
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| 407 |
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| 408 | return rc;
|
|---|
| 409 | }
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|---|
| 410 |
|
|---|
| 411 | Bool_t MAlphaFitter::FitTheta(const TH3D &hon, const TH3D &hof, UInt_t bin, Bool_t paint)
|
|---|
| 412 | {
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|---|
| 413 | const TString name1(Form("TempAlpha%06d_on", gRandom->Integer(1000000)));
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|---|
| 414 | const TString name0(Form("TempAlpha%06d_off", gRandom->Integer(1000000)));
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|---|
| 415 |
|
|---|
| 416 | TH1D *h1 = hon.ProjectionZ(name1, bin, bin, -1, 9999, "E");
|
|---|
| 417 | TH1D *h0 = hof.ProjectionZ(name0, bin, bin, -1, 9999, "E");
|
|---|
| 418 | h1->SetDirectory(0);
|
|---|
| 419 | h0->SetDirectory(0);
|
|---|
| 420 |
|
|---|
| 421 | const Bool_t rc = ScaleAndFit(*h1, h0, paint);
|
|---|
| 422 |
|
|---|
| 423 | delete h0;
|
|---|
| 424 | delete h1;
|
|---|
| 425 |
|
|---|
| 426 | return rc;
|
|---|
| 427 | }
|
|---|
| 428 |
|
|---|
| 429 | Bool_t MAlphaFitter::FitAlpha(const TH3D &hon, const TH3D &hof, Bool_t paint)
|
|---|
| 430 | {
|
|---|
| 431 | const TString name1(Form("TempAlpha%06d_on", gRandom->Integer(1000000)));
|
|---|
| 432 | const TString name0(Form("TempAlpha%06d_off", gRandom->Integer(1000000)));
|
|---|
| 433 |
|
|---|
| 434 | TH1D *h1 = hon.ProjectionZ(name1, -1, 9999, -1, 9999, "E");
|
|---|
| 435 | TH1D *h0 = hof.ProjectionZ(name0, -1, 9999, -1, 9999, "E");
|
|---|
| 436 | h1->SetDirectory(0);
|
|---|
| 437 | h0->SetDirectory(0);
|
|---|
| 438 |
|
|---|
| 439 | const Bool_t rc = ScaleAndFit(*h1, h0, paint);
|
|---|
| 440 |
|
|---|
| 441 | delete h0;
|
|---|
| 442 | delete h1;
|
|---|
| 443 |
|
|---|
| 444 | return rc;
|
|---|
| 445 | }
|
|---|
| 446 |
|
|---|
| 447 | Double_t MAlphaFitter::Scale(TH1D &of, const TH1D &on) const
|
|---|
| 448 | {
|
|---|
| 449 | Float_t scaleon = 1;
|
|---|
| 450 | Float_t scaleof = 1;
|
|---|
| 451 | switch (fScaleMode)
|
|---|
| 452 | {
|
|---|
| 453 | case kNone:
|
|---|
| 454 | return 1;
|
|---|
| 455 |
|
|---|
| 456 | case kEntries:
|
|---|
| 457 | scaleon = on.GetEntries();
|
|---|
| 458 | scaleof = of.GetEntries();
|
|---|
| 459 | break;
|
|---|
| 460 |
|
|---|
| 461 | case kIntegral:
|
|---|
| 462 | scaleon = on.Integral();
|
|---|
| 463 | scaleof = of.Integral();
|
|---|
| 464 | break;
|
|---|
| 465 |
|
|---|
| 466 | case kOffRegion:
|
|---|
| 467 | {
|
|---|
| 468 | const Int_t min = on.GetXaxis()->FindFixBin(fScaleMin);
|
|---|
| 469 | const Int_t max = on.GetXaxis()->FindFixBin(fScaleMax);
|
|---|
| 470 | scaleon = on.Integral(min, max);
|
|---|
| 471 | scaleof = of.Integral(min, max);
|
|---|
| 472 | }
|
|---|
| 473 | break;
|
|---|
| 474 |
|
|---|
| 475 | case kUserScale:
|
|---|
| 476 | scaleon = fScaleUser;
|
|---|
| 477 | break;
|
|---|
| 478 |
|
|---|
| 479 | // This is just to make some compiler happy
|
|---|
| 480 | default:
|
|---|
| 481 | return 1;
|
|---|
| 482 | }
|
|---|
| 483 |
|
|---|
| 484 | if (scaleof!=0)
|
|---|
| 485 | {
|
|---|
| 486 | of.Scale(scaleon/scaleof);
|
|---|
| 487 | return scaleon/scaleof;
|
|---|
| 488 | }
|
|---|
| 489 | else
|
|---|
| 490 | {
|
|---|
| 491 | of.Reset();
|
|---|
| 492 | return 0;
|
|---|
| 493 | }
|
|---|
| 494 | }
|
|---|
| 495 |
|
|---|
| 496 | Int_t MAlphaFitter::ReadEnv(const TEnv &env, TString prefix, Bool_t print)
|
|---|
| 497 | {
|
|---|
| 498 | Bool_t rc = kFALSE;
|
|---|
| 499 |
|
|---|
| 500 | //void SetScaleUser(Float_t scale) { fScaleUser = scale; fScaleMode=kUserScale; }
|
|---|
| 501 | //void SetScaleMode(ScaleMode_t mode) { fScaleMode = mode; }
|
|---|
| 502 |
|
|---|
| 503 | if (IsEnvDefined(env, prefix, "SignalIntegralMax", print))
|
|---|
| 504 | {
|
|---|
| 505 | SetSignalIntegralMax(GetEnvValue(env, prefix, "SignalIntegralMax", fSigInt));
|
|---|
| 506 | rc = kTRUE;
|
|---|
| 507 | }
|
|---|
| 508 | if (IsEnvDefined(env, prefix, "SignalFitMax", print))
|
|---|
| 509 | {
|
|---|
| 510 | SetSignalIntegralMax(GetEnvValue(env, prefix, "SignalFitMax", fSigMax));
|
|---|
| 511 | rc = kTRUE;
|
|---|
| 512 | }
|
|---|
| 513 | if (IsEnvDefined(env, prefix, "BackgroundFitMax", print))
|
|---|
| 514 | {
|
|---|
| 515 | SetBackgroundFitMax(GetEnvValue(env, prefix, "BackgroundFitMax", fBgMax));
|
|---|
| 516 | rc = kTRUE;
|
|---|
| 517 | }
|
|---|
| 518 | if (IsEnvDefined(env, prefix, "BackgroundFitMin", print))
|
|---|
| 519 | {
|
|---|
| 520 | SetBackgroundFitMin(GetEnvValue(env, prefix, "BackgroundFitMin", fBgMin));
|
|---|
| 521 | rc = kTRUE;
|
|---|
| 522 | }
|
|---|
| 523 | if (IsEnvDefined(env, prefix, "ScaleMin", print))
|
|---|
| 524 | {
|
|---|
| 525 | SetScaleMin(GetEnvValue(env, prefix, "ScaleMin", fScaleMin));
|
|---|
| 526 | rc = kTRUE;
|
|---|
| 527 | }
|
|---|
| 528 | if (IsEnvDefined(env, prefix, "ScaleMax", print))
|
|---|
| 529 | {
|
|---|
| 530 | SetScaleMax(GetEnvValue(env, prefix, "ScaleMax", fScaleMax));
|
|---|
| 531 | rc = kTRUE;
|
|---|
| 532 | }
|
|---|
| 533 | if (IsEnvDefined(env, prefix, "PolynomOrder", print))
|
|---|
| 534 | {
|
|---|
| 535 | SetPolynomOrder(GetEnvValue(env, prefix, "PolynomOrder", fPolynomOrder));
|
|---|
| 536 | rc = kTRUE;
|
|---|
| 537 | }
|
|---|
| 538 |
|
|---|
| 539 | return rc;
|
|---|
| 540 | }
|
|---|