| 1 | #ifndef MARS_MHFindSignificance
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| 2 | #define MARS_MHFindSignificance
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| 3 |
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| 4 | #ifndef MARS_MH
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| 5 | #include "MH.h"
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| 6 | #endif
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| 7 |
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| 8 | #ifndef ROOT_TArrayD
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| 9 | #include <TArrayD.h>
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| 10 | #endif
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| 11 |
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| 12 | class TF1;
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| 13 | class TH1;
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| 14 | class TCanvas;
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| 15 |
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| 16 | class MHFindSignificance : public MH
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| 17 | {
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| 18 | private:
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| 19 |
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| 20 | TH1 *fHistOrig; // original plot of |alpha| (0.0 to 90.0 degrees)
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| 21 | TH1 *fHist; // copy of fHistOrig or rebinned histogram
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| 22 |
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| 23 | TH1D *fSigVsAlpha;
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| 24 |
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| 25 | Double_t fAlphamin; // requested lower limit of fit range
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| 26 | Double_t fAlphammm; // center of fit range
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| 27 | Double_t fAlphamax; // requested lower limit of fit range
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| 28 |
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| 29 | Double_t fAlphami; // actual lower limit of fit range
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| 30 | Double_t fAlphamm; // actual center of fit range
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| 31 | Double_t fAlphama; // actual upper limit of fit range
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| 32 |
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| 33 | Double_t fAlphasig; // requested signal range
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| 34 | Double_t fAlphasi; // actual signal range
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| 35 |
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| 36 | Double_t fAlphalow; // requested lower edge of signal range
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| 37 | Double_t fAlphalo; // actual lower edge of signal range
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| 38 |
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| 39 | Double_t fAlphahig; // requested upper edge of background range
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| 40 | Double_t fAlphahi; // actual upper edge of background range
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| 41 |
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| 42 | // number of events in signal region
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| 43 | Double_t fNon; // total number of events in signal region
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| 44 | Double_t fNbg; // number of background events in signal region
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| 45 | Double_t fNex; // number of excess events in signal region
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| 46 |
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| 47 | Double_t fdNon;
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| 48 | Double_t fdNbg;
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| 49 | Double_t fdNex;
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| 50 |
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| 51 | // number of events in background region
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| 52 | Double_t fNbgtot; // total number of events in background region
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| 53 | Double_t fNbgtotFitted; // fitted total no. of events in background region
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| 54 | Double_t fdNbgtotFitted; // fitted error of this number
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| 55 |
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| 56 | // effective number of background events
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| 57 | Double_t fNoff;
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| 58 | Double_t fGamma; // Nbg = Non - gamma * Noff
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| 59 |
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| 60 | Double_t fSigLiMa; // significance of gamma signal according to Li & Ma
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| 61 |
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| 62 | const static Double_t fEps = 1.e-4; // tolerance for floating point comparisons
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| 63 |
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| 64 | Bool_t fDraw; // if true : draw plots
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| 65 | Bool_t fFitGauss; // if true : do the (polynomial+Gauss fit)
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| 66 | Bool_t fRebin; // if true : allow rebinning of the alpha plot
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| 67 | Bool_t fReduceDegree; // if true : allow reducing of the order of the polynomial
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| 68 |
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| 69 | Bool_t fConstantBackg; // if set true if background fit is not possible
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| 70 | // due to low statistics
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| 71 |
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| 72 | TCanvas *fCanvas;
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| 73 |
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| 74 | Double_t fNexGauss; // total number of excess events
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| 75 | // (from fitted Gauss function)
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| 76 | Double_t fdNexGauss; // error of the total number of excess events
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| 77 |
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| 78 | Double_t fSigmaGauss; // sigma of fitted Gauss function
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| 79 | Double_t fdSigmaGauss; // error of this sigma
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| 80 |
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| 81 | //--------------------
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| 82 | TF1 *fPoly; // polynomial function
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| 83 | Int_t fFitBad; // if != 0 fit failed
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| 84 | Int_t fDegree; // degree of polynomial to be fitted to the background
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| 85 | Int_t fNdf; // number of degrees of freedom of polynomial fit
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| 86 | Double_t fChisq; // chi squared of polynomial fit
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| 87 | Double_t fProb; // chi squared probability ofg polynomial fit
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| 88 |
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| 89 | TArrayD fValues;
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| 90 | TArrayD fErrors;
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| 91 |
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| 92 | const static Int_t fNdim = 6;
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| 93 | Double_t fEmat[fNdim][fNdim];
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| 94 | Double_t fEma [fNdim][fNdim];
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| 95 | Double_t fCorr[fNdim][fNdim];
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| 96 |
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| 97 | Int_t fMbins; // number of bins in the fit range
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| 98 | Int_t fMlow; // number of bins in the fit range with too few entries
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| 99 | Int_t fNzero; // number of bins in the fit range with zero entry
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| 100 | Int_t fIstat;
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| 101 |
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| 102 | //--------------------
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| 103 |
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| 104 | //--------------------
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| 105 | TF1 *fGPoly; // (Gauss+polynomial) function
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| 106 | TF1 *fGBackg; // polynomial part of (Gauss+polynomial) function
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| 107 | Int_t fGFitBad; // if != 0 fit failed
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| 108 | Int_t fGDegree; // degree of polynomial to be fitted to the background
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| 109 | Int_t fGNdf; // number of degrees of freedom of polynomial fit
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| 110 | Double_t fGChisq; // chi squared of polynomial fit
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| 111 | Double_t fGProb; // chi squared probability ofg polynomial fit
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| 112 |
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| 113 | TArrayD fGValues;
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| 114 | TArrayD fGErrors;
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| 115 |
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| 116 | const static Int_t fGNdim = 9;
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| 117 | Double_t fGEmat[fGNdim][fGNdim];
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| 118 | Double_t fGEma[fGNdim][fGNdim];
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| 119 | Double_t fGCorr[fGNdim][fGNdim];
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| 120 |
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| 121 | Int_t fGMbins; // number of bins in the fit range
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| 122 | Int_t fGNzero; // numnber of bins in the fit range with zero entry
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| 123 | Int_t fGIstat;
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| 124 |
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| 125 | //--------------------
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| 126 |
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| 127 | static const TString gsDefName; //! Default Name
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| 128 | static const TString gsDefTitle; //! Default Title
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| 129 |
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| 130 | Bool_t DetExcess();
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| 131 | Bool_t FitPolynomial();
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| 132 | Bool_t FitGaussPoly();
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| 133 | Bool_t RebinHistogram(Double_t x0, Int_t nrebin);
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| 134 |
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| 135 | public:
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| 136 | MHFindSignificance(const char *name=NULL, const char *title=NULL);
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| 137 | ~MHFindSignificance();
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| 138 |
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| 139 | Bool_t FindSigma(TH1 *fhist, Double_t alphamin, Double_t alphamax,
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| 140 | Int_t degree, Double_t alphasig,
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| 141 | Bool_t drawpoly, Bool_t fitgauss, Bool_t print);
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| 142 |
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| 143 | Bool_t SigmaLiMa(Double_t non, Double_t noff, Double_t gamma,
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| 144 | Double_t *siglima);
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| 145 |
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| 146 | Bool_t SigmaVsAlpha(TH1 *fhist, Double_t alphamin, Double_t alphamax,
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| 147 | Int_t degree, Bool_t print);
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| 148 |
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| 149 | Double_t GetSignificance() { return fSigLiMa; }
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| 150 |
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| 151 | Bool_t DrawFit(Option_t *opt=NULL);
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| 152 |
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| 153 | Int_t GetDegree() const { return fDegree; }
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| 154 | Double_t GetProb() const { return fProb; }
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| 155 | Int_t GetNdf() const { return fNdf; }
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| 156 | Double_t GetGamma() const { return fGamma; }
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| 157 | Double_t GetNon() const { return fNon; }
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| 158 | Double_t GetNex() const { return fNex; }
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| 159 | Double_t GetNbg() const { return fNbg; }
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| 160 | Double_t GetSigLiMa() const { return fSigLiMa; }
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| 161 | Int_t GetMbins() const { return fMbins; }
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| 162 | Double_t GetAlphasi() const { return fAlphasi; }
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| 163 |
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| 164 | TH1* GetHist() const { return fHist;}
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| 165 | Double_t GetdNon() const { return fNon;}
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| 166 | Double_t GetdNbg() const {return fNbg; }
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| 167 | Double_t GetdNex() const { return fdNex; }
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| 168 | Double_t GetNoff() const {return fNoff;}
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| 169 | Double_t GetChisq() const {return fChisq;}
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| 170 | Double_t GetNbgtotFitted() const {return fNbgtotFitted;}
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| 171 | Double_t GetdNbgtotFitted() const {return fNbgtotFitted;}
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| 172 | Double_t GetNbgtot() const {return fNbgtot;}
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| 173 | Double_t GetSigmaGauss() const {return fSigmaGauss;}
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| 174 | Double_t GetdSigmaGauss() const {return fdSigmaGauss;}
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| 175 | Double_t GetNexGauss() const {return fNexGauss;}
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| 176 | Double_t GetdNexGauss() const {return fdNexGauss;}
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| 177 | TF1* GetGBackg() const { return fGBackg; }
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| 178 | TF1* GetGPoly() const { return fGPoly; }
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| 179 | TF1* GetPoly() const { return fPoly; }
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| 180 |
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| 181 |
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| 182 | void SetRebin(Bool_t b=kTRUE);
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| 183 | void SetReduceDegree(Bool_t b=kTRUE);
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| 184 |
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| 185 | void PrintPoly(Option_t *opt=NULL);
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| 186 | void PrintPolyGauss(Option_t *opt=NULL);
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| 187 |
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| 188 | ClassDef(MHFindSignificance, 1) // Determine significance from alpha plot
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| 189 | };
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| 190 |
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| 191 | #endif
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| 192 |
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