class TFile;
class TList;
class TH1F;
+class TVirtualPad;
class AliHFMassFitter : public TNamed {
//setters
void SetHisto(const TH1F *histoToFit);
- void SetRangeFit(Double_t minvalue, Double_t maxvalue){fminMass=minvalue; fmaxMass=maxvalue;}
- void SetMinRangeFit(Double_t minvalue){fminMass=minvalue;}
- void SetMaxRangeFit(Double_t maxvalue){fmaxMass=maxvalue;}
+ void SetRangeFit(Double_t minvalue, Double_t maxvalue){fminMass=minvalue; fmaxMass=maxvalue; CheckRangeFit();}
+ void SetMinRangeFit(Double_t minvalue){fminMass=minvalue;printf("CheckRangeFit after SetMaxRangeFit is also set\n");}
+ void SetMaxRangeFit(Double_t maxvalue){fmaxMass=maxvalue;printf("CheckRangeFit after SetMinRangeFit is also set\n");}
void SetBinN(Int_t newbinN){fNbin=newbinN;}
void SetType(Int_t fittypeb, Int_t fittypes);
void SetReflectionSigmaFactor(Int_t constant) {ffactor=constant;}
void SetInitialGaussianMean(Double_t mean) {fMass=mean;} // change the default value of the mean
void SetInitialGaussianSigma(Double_t sigma) {fSigmaSgn=sigma;} // change the default value of the sigma
void SetSideBands(Bool_t onlysidebands=kTRUE) {fSideBands=onlysidebands;} // consider only side bands
+ void SetFixParam(Bool_t *fixpar){fFixPar=fixpar;}
+ void SetDefaultFixParam();
+ Bool_t SetFixThisParam(Int_t thispar,Bool_t fixpar);
+ void SetFixGaussianMean(Double_t mean=1.865,Bool_t fixpar=kTRUE){SetInitialGaussianMean(mean); SetFixThisParam(fNFinalPars-2,fixpar);}
+ void SetFixGaussianSigma(Double_t sigma=0.012, Bool_t fixpar=kTRUE){SetInitialGaussianMean(sigma); SetFixThisParam(fNFinalPars-1,fixpar);}
//getters
TH1F* GetHistoClone() const; //return the histogram
Double_t GetMaxRangeFit()const {return fmaxMass;}
Int_t GetBinN() const {return fNbin;}
void GetFitPars(Float_t* pars) const;
+ Int_t GetNFinalPars() const {return fNFinalPars;}
void GetTypeOfFit(Bool_t &background, Int_t &typeb) const {background = fWithBkg; typeb = ftypeOfFit4Bkg;}
Int_t GetReflectionSigmaFactor() const {return ffactor;}
Double_t GetMean() const {return fMass;}
Double_t GetChiSquare() const;
Double_t GetReducedChiSquare() const;
void GetSideBandsBounds(Int_t& lb, Int_t& hb) const;
+ Bool_t* GetFixParam()const {return fFixPar;}
+ Bool_t GetFixThisParam(Int_t thispar)const;
+ TVirtualPad* GetPad(Double_t nsigma=2,Int_t writeFitInfo=1)const;
void PrintParTitles() const;
TNtuple* NtuParamOneShot(char *ntuname="ntupar"); // the three functions above all together
void WriteHisto(TString path="./") const; // write the histogram
void WriteNtuple(TString path="./") const; // write the TNtuple
- void DrawFit() const;
+ void WriteCanvas(TString userIDstring="",TString path="./",Double_t nsigma=2,Int_t writeFitInfo=1,Bool_t draw=kFALSE) const; //write the canvas in a root file
+ void DrawHere(TVirtualPad* pd,Double_t nsigma=2,Int_t writeFitInfo=1) const;
+ void DrawFit(Double_t nsigma=2) const;
void Reset();
void IntS(Float_t *valuewitherror) const; // integral of signal given my the fit with error
Double_t FitFunction4Sgn (Double_t* x, Double_t* par);
Double_t FitFunction4Bkg (Double_t* x, Double_t* par);
Bool_t MassFitter(Bool_t draw=kTRUE);
- void RebinMass(Int_t binground=1);
+ Bool_t RefitWithBkgOnly(Bool_t draw=kTRUE);
+ void RebinMass(Int_t bingroup=1);
private:
+ void PlotFit(TVirtualPad* pd,Double_t nsigma=2,Int_t writeFitInfo=1)const;
+
void ComputeParSize();
+ void ComputeNFinalPars();
Bool_t SideBandsBounds();
+ Bool_t CheckRangeFit();
void AddFunctionsToHisto();
- TH1F *fhistoInvMass; // histogram to fit
- Double_t fminMass; // lower mass limit
- Double_t fmaxMass; // upper mass limit
- Int_t fNbin; // number of bins
- Int_t fParsSize; // size of fFitPars array
- Float_t *fFitPars; //[fParsSize] array of fit parameters
- Bool_t fWithBkg; // signal+background (kTRUE) or signal only (kFALSE)
- Int_t ftypeOfFit4Bkg; // 0 = exponential; 1 = linear; 2 = pol2
- Int_t ftypeOfFit4Sgn; // 0 = gaus; 1 = gaus+gaus broadened
- Int_t ffactor; // number to multiply to the sigma of the signal to obtain the reflected gaussian
- TNtuple *fntuParam; // contains fit parameters
- Double_t fMass; // signal gaussian mean value
- Double_t fSigmaSgn; // signal gaussian sigma
- Bool_t fSideBands; // kTRUE = only side bands considered
- Int_t fSideBandl; // left side band limit (bin number)
- Int_t fSideBandr; // right side band limit (bin number)
- Int_t fcounter; // internal counter
- TList *fContourGraph; // TList of TGraph containing contour plots
- ClassDef(AliHFMassFitter,3); // class for invariant mass fit
+ TH1F* fhistoInvMass; // histogram to fit
+ Double_t fminMass; // lower mass limit
+ Double_t fmaxMass; // upper mass limit
+ Int_t fminBinMass;
+ Int_t fmaxBinMass;
+ Int_t fNbin; // number of bins
+ Int_t fParsSize; // size of fFitPars array
+ Int_t fNFinalPars; // number of parameters of the final function
+ Float_t* fFitPars; //[fParsSize] array of fit parameters
+ Bool_t fWithBkg; // signal+background (kTRUE) or signal only (kFALSE)
+ Int_t ftypeOfFit4Bkg; // 0 = exponential; 1 = linear; 2 = pol2
+ Int_t ftypeOfFit4Sgn; // 0 = gaus; 1 = gaus+gaus broadened
+ Int_t ffactor; // number to multiply to the sigma of the signal to obtain the reflected gaussian
+ TNtuple* fntuParam; // contains fit parameters
+ Double_t fMass; // signal gaussian mean value
+ Double_t fSigmaSgn; // signal gaussian sigma
+ Bool_t fSideBands; // kTRUE = only side bands considered
+ Bool_t* fFixPar; //[fNFinalPars] for each par if kTRUE it is fixed in fit
+ Int_t fSideBandl; // left side band limit (bin number)
+ Int_t fSideBandr; // right side band limit (bin number)
+ Int_t fcounter; // internal counter
+ TList* fContourGraph; // TList of TGraph containing contour plots
+ ClassDef(AliHFMassFitter,4); // class for invariant mass fit
};
#endif
git://git.uio.no / u / mrichter / AliRoot.git / blobdiff