#ifndef MARS_MHGausEvent #define MARS_MHGausEvent #ifndef MARS_MH #include "MH.h" #endif class TArrayF; class TH1F; class TH1I; class TF1; class MHGausEvent : public MH { private: Bool_t fGausFitOK; Bool_t fExpFitOK; Bool_t fOscillating; Double_t fMean; Double_t fSigma; Double_t fMeanErr; Double_t fSigmaErr; Double_t fProb; protected: TH1F* fHGausHist; TH1I* fHPowerProbability; TF1* fFGausFit; TF1* fFExpFit; TArrayF *fEvents; TArrayF *fPowerSpectrum; Int_t fGausHistBins; Axis_t fGausHistAxisFirst; Axis_t fGausHistAxisLast; Int_t fPowerProbabilityBins; Float_t fProbLimit; void CutArrayBorder(TArrayF *array); public: MHGausEvent(const char *name=NULL, const char *title=NULL); ~MHGausEvent(); void Clear(Option_t *o=""); void Reset(); const Double_t GetMean() const { return fMean; } const Double_t GetMeanErr() const { return fMeanErr; } const Double_t GetSigma() const { return fSigma; } const Double_t GetSigmaErr() const { return fSigmaErr; } const Double_t GetChiSquare() const; const Double_t GetProb() const { return fProb; } const Int_t GetNdf() const; const Double_t GetSlope() const; const Double_t GetOffset() const; const Double_t GetExpChiSquare() const; const Double_t GetExpProb() const; const Int_t GetExpNdf() const; const TH1F *GetHGausHist() { return fHGausHist; } const TH1F *GetHGausHist() const { return fHGausHist; } const TF1 *GetFGausFit() { return fFGausFit; } const TF1 *GetFGausFit() const { return fFGausFit; } const TH1I *GetHPowerProbability() { return fHPowerProbability; } const TH1I *GetHPowerProbability() const { return fHPowerProbability; } const TF1 *GetFExpFit() { return fFExpFit; } const TF1 *GetFExpFit() const { return fFExpFit; } Bool_t CheckOscillations(); virtual Bool_t IsGausFitOK() const { return fGausFitOK; } virtual Bool_t IsExpFitOK() const { return fExpFitOK; } virtual Bool_t IsEmpty() const; virtual Bool_t IsOscillating(); // Fits virtual Bool_t FitGaus(Option_t *option="RQ0"); // Prints virtual void Print(const Option_t *o="") const; ClassDef(MHGausEvent, 1) // Histograms for events with Gaussian distributed values }; #endif