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AliRoot » PWGHF » VERTEXINGHF » AliHFMassFitter

class AliHFMassFitter: public TNamed


 AliHFMassFitter for the fit of invariant mass distribution
 of charmed mesons

 Author: C.Bianchin, chiara.bianchin@pd.infn.it

Function Members (Methods)

public:

	AliHFMassFitter()
	AliHFMassFitter(const AliHFMassFitter& mfit)
	AliHFMassFitter(const TH1F* histoToFit, Double_t minvalue, Double_t maxvalue, Int_t rebin = 1, Int_t fittypeb = kExpo, Int_t fittypes = kGaus)
virtual	~AliHFMassFitter()
void	TObject::AbstractMethod(const char* method) const
virtual void	TObject::AppendPad(Option_t* option = "")
void	Background(Double_t nOfSigma, Double_t& background, Double_t& errbackground) const
void	Background(Double_t min, Double_t max, Double_t& background, Double_t& errbackground) const
virtual void	TObject::Browse(TBrowser* b)
static TClass*	Class()
virtual const char*	TObject::ClassName() const
virtual void	TNamed::Clear(Option_t* option = "")
virtual TObject*	TNamed::Clone(const char* newname = "") const
virtual Int_t	TNamed::Compare(const TObject* obj) const
virtual void	TNamed::Copy(TObject& named) const
virtual void	TObject::Delete(Option_t* option = "")MENU
virtual Int_t	TObject::DistancetoPrimitive(Int_t px, Int_t py)
virtual void	TObject::Draw(Option_t* option = "")
virtual void	TObject::DrawClass() constMENU
virtual TObject*	TObject::DrawClone(Option_t* option = "") constMENU
void	DrawFit(Double_t nsigma = 3) const
void	DrawHere(TVirtualPad* pd, Double_t nsigma = 3, Int_t writeFitInfo = 1) const
virtual void	TObject::Dump() constMENU
virtual void	TObject::Error(const char* method, const char* msgfmt) const
virtual void	TObject::Execute(const char* method, const char* params, Int_t* error = 0)
virtual void	TObject::Execute(TMethod* method, TObjArray* params, Int_t* error = 0)
virtual void	TObject::ExecuteEvent(Int_t event, Int_t px, Int_t py)
virtual void	TObject::Fatal(const char* method, const char* msgfmt) const
virtual void	TNamed::FillBuffer(char*& buffer)
void	FillNtuParam()
virtual TObject*	TObject::FindObject(const char* name) const
virtual TObject*	TObject::FindObject(const TObject* obj) const
Double_t	FitFunction4Bkg(Double_t* x, Double_t* par)
Double_t	FitFunction4MassDistr(Double_t* x, Double_t* par)
Double_t	FitFunction4Sgn(Double_t* x, Double_t* par)
TF1*	GetBackgroundFullRangeFunc()
TF1*	GetBackgroundRecalcFunc()
Int_t	GetBinN() const
Double_t	GetChiSquare() const
virtual Option_t*	TObject::GetDrawOption() const
static Long_t	TObject::GetDtorOnly()
void	GetFitPars(Float_t* pars) const
Bool_t*	GetFixParam() const
Bool_t	GetFixThisParam(Int_t thispar) const
TH1F*	GetHistoClone() const
virtual const char*	TObject::GetIconName() const
TF1*	GetMassFunc()
Double_t	GetMaxRangeFit() const
Double_t	GetMean() const
Double_t	GetMeanUncertainty() const
Double_t	GetMinRangeFit() const
virtual const char*	TNamed::GetName() const
Int_t	GetNFinalPars() const
TNtuple*	GetNtuParam() const
virtual char*	TObject::GetObjectInfo(Int_t px, Int_t py) const
static Bool_t	TObject::GetObjectStat()
virtual Option_t*	TObject::GetOption() const
TVirtualPad*	GetPad(Double_t nsigma = 3, Int_t writeFitInfo = 1) const
void	GetRangeFit(Double_t& minvalue, Double_t& maxvalue) const
Double_t	GetRawYield() const
Double_t	GetRawYieldError() const
Double_t	GetReducedChiSquare() const
Int_t	GetReflectionSigmaFactor() const
void	GetSideBandsBounds(Int_t& lb, Int_t& hb) const
Double_t	GetSigma() const
Double_t	GetSigmaUncertainty() const
virtual const char*	TNamed::GetTitle() const
void	GetTypeOfFit(Bool_t& background, Int_t& typeb) const
virtual UInt_t	TObject::GetUniqueID() const
virtual Bool_t	TObject::HandleTimer(TTimer* timer)
virtual ULong_t	TNamed::Hash() const
virtual void	TObject::Info(const char* method, const char* msgfmt) const
virtual Bool_t	TObject::InheritsFrom(const char* classname) const
virtual Bool_t	TObject::InheritsFrom(const TClass* cl) const
void	InitNtuParam(TString ntuname = "ntupar")
virtual void	TObject::Inspect() constMENU
void	IntS(Float_t* valuewitherror) const
Double_t	IntTot() const
void	TObject::InvertBit(UInt_t f)
virtual TClass*	IsA() const
virtual Bool_t	TObject::IsEqual(const TObject* obj) const
virtual Bool_t	TObject::IsFolder() const
Bool_t	TObject::IsOnHeap() const
virtual Bool_t	TNamed::IsSortable() const
Bool_t	TObject::IsZombie() const
virtual void	TNamed::ls(Option_t* option = "") const
Bool_t	MassFitter(Bool_t draw = kTRUE)
void	TObject::MayNotUse(const char* method) const
virtual Bool_t	TObject::Notify()
TNtuple*	NtuParamOneShot(TString ntuname = "ntupar")
void	TObject::Obsolete(const char* method, const char* asOfVers, const char* removedFromVers) const
static void	TObject::operator delete(void* ptr)
static void	TObject::operator delete(void* ptr, void* vp)
static void	TObject::operator delete[](void* ptr)
static void	TObject::operator delete[](void* ptr, void* vp)
void*	TObject::operator new(size_t sz)
void*	TObject::operator new(size_t sz, void* vp)
void*	TObject::operator new[](size_t sz)
void*	TObject::operator new[](size_t sz, void* vp)
AliHFMassFitter&	operator=(const AliHFMassFitter& mfit)
virtual void	TObject::Paint(Option_t* option = "")
virtual void	TObject::Pop()
virtual void	TNamed::Print(Option_t* option = "") const
void	PrintParTitles() const
virtual Int_t	TObject::Read(const char* name)
void	RebinMass(Int_t bingroup = 1)
virtual void	TObject::RecursiveRemove(TObject* obj)
Bool_t	RefitWithBkgOnly(Bool_t draw = kTRUE)
void	Reset()
void	TObject::ResetBit(UInt_t f)
virtual void	TObject::SaveAs(const char* filename = "", Option_t* option = "") constMENU
virtual void	TObject::SavePrimitive(basic_ostream<char,char_traits<char> >& out, Option_t* option = "")
void	SetBinN(Int_t newbinN)
void	TObject::SetBit(UInt_t f)
void	TObject::SetBit(UInt_t f, Bool_t set)
void	SetDefaultFixParam()
virtual void	TObject::SetDrawOption(Option_t* option = "")MENU
static void	TObject::SetDtorOnly(void* obj)
void	SetFixGaussianMean(Double_t mean = 1.865, Bool_t fixpar = kTRUE)
void	SetFixGaussianSigma(Double_t sigma = 0.012, Bool_t fixpar = kTRUE)
void	SetFixParam(Bool_t* fixpar)
Bool_t	SetFixThisParam(Int_t thispar, Bool_t fixpar)
void	SetHisto(const TH1F* histoToFit)
void	SetInitialGaussianMean(Double_t mean)
void	SetInitialGaussianSigma(Double_t sigma)
void	SetMaxRangeFit(Double_t maxvalue)
void	SetMinRangeFit(Double_t minvalue)
virtual void	TNamed::SetName(const char* name)MENU
virtual void	TNamed::SetNameTitle(const char* name, const char* title)
static void	TObject::SetObjectStat(Bool_t stat)
void	SetRangeFit(Double_t minvalue, Double_t maxvalue)
void	SetReflectionSigmaFactor(Int_t constant)
void	SetSideBands(Bool_t onlysidebands = kTRUE)
virtual void	TNamed::SetTitle(const char* title = "")MENU
void	SetType(Int_t fittypeb, Int_t fittypes)
virtual void	TObject::SetUniqueID(UInt_t uid)
void	SetUseChi2Fit()
void	SetUseLikelihoodFit()
void	SetUseLikelihoodWithWeightsFit()
virtual void	ShowMembers(TMemberInspector&)
void	Signal(Double_t nOfSigma, Double_t& signal, Double_t& errsignal) const
void	Signal(Double_t min, Double_t max, Double_t& signal, Double_t& errsignal) const
void	Significance(Double_t nOfSigma, Double_t& significance, Double_t& errsignificance) const
void	Significance(Double_t min, Double_t max, Double_t& significance, Double_t& errsignificance) const
virtual Int_t	TNamed::Sizeof() const
virtual void	Streamer(TBuffer&)
void	StreamerNVirtual(TBuffer& ClassDef_StreamerNVirtual_b)
virtual void	TObject::SysError(const char* method, const char* msgfmt) const
Bool_t	TObject::TestBit(UInt_t f) const
Int_t	TObject::TestBits(UInt_t f) const
virtual void	TObject::UseCurrentStyle()
virtual void	TObject::Warning(const char* method, const char* msgfmt) const
virtual Int_t	TObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0)
virtual Int_t	TObject::Write(const char* name = 0, Int_t option = 0, Int_t bufsize = 0) const
void	WriteCanvas(TString userIDstring = "", TString path = "./", Double_t nsigma = 3, Int_t writeFitInfo = 1, Bool_t draw = kFALSE) const
void	WriteHisto(TString path = "./") const
void	WriteNtuple(TString path = "./") const

protected:

virtual void	TObject::DoError(int level, const char* location, const char* fmt, va_list va) const
void	TObject::MakeZombie()

private:

void	AddFunctionsToHisto()
Bool_t	CheckRangeFit()
void	ComputeNFinalPars()
void	ComputeParSize()
void	PlotFit(TVirtualPad* pd, Double_t nsigma = 3, Int_t writeFitInfo = 1) const
Bool_t	SideBandsBounds()

Data Members

public:

enum ETypeOfBkg {	kExpo
	kLin
	kPol2
	kNoBk
	kPow
	kPowEx
};
enum ETypeOfSgn {	kGaus
	k2Gaus
};
enum TObject::EStatusBits {	kCanDelete
	kMustCleanup
	kObjInCanvas
	kIsReferenced
	kHasUUID
	kCannotPick
	kNoContextMenu
	kInvalidObject
};
enum TObject::[unnamed] {	kIsOnHeap
	kNotDeleted
	kZombie
	kBitMask
	kSingleKey
	kOverwrite
	kWriteDelete
};

protected:

TString	TNamed::fName	object identifier
TString	TNamed::fTitle	object title

private:

TList*	fContourGraph	TList of TGraph containing contour plots
TString	fFitOption	L, LW or Chi2
Float_t*	fFitPars	[fParsSize] array of fit parameters
Bool_t*	fFixPar	[fNFinalPars] for each par if kTRUE it is fixed in fit
Double_t	fMass	signal gaussian mean value
Double_t	fMassErr	err signal gaussian mean value
Int_t	fNFinalPars	number of parameters of the final function
Int_t	fNbin	number of bins
Int_t	fParsSize	size of fFitPars array
Double_t	fRawYield	signal gaussian integral
Double_t	fRawYieldErr	err on signal gaussian integral
Int_t	fSideBandl	left side band limit (bin number)
Int_t	fSideBandr	right side band limit (bin number)
Bool_t	fSideBands	kTRUE = only side bands considered
Double_t	fSigmaSgn	signal gaussian sigma
Double_t	fSigmaSgnErr	err signal gaussian sigma
Bool_t	fWithBkg	signal+background (kTRUE) or signal only (kFALSE)
Int_t	fcounter	internal counter
Int_t	ffactor	number to multiply to the sigma of the signal to obtain the reflected gaussian
TH1F*	fhistoInvMass	histogram to fit
Int_t	fmaxBinMass	bin corresponding to fmaxMass
Double_t	fmaxMass	upper mass limit
Int_t	fminBinMass	bin corresponding to fminMass
Double_t	fminMass	lower mass limit
TNtuple*	fntuParam	contains fit parameters
Int_t	ftypeOfFit4Bkg	0 = exponential; 1 = linear; 2 = pol2
Int_t	ftypeOfFit4Sgn	0 = gaus; 1 = gaus+gaus broadened

Class Charts

Inheritance Chart:

TNamed

←

AliHFMassFitter

Function documentation

AliHFMassFitter()

 default constructor

AliHFMassFitter(const TH1F* histoToFit, Double_t minvalue, Double_t maxvalue, Int_t rebin = 1, Int_t fittypeb = kExpo, Int_t fittypes = kGaus)

 standard constructor

AliHFMassFitter(const AliHFMassFitter& mfit)

copy constructor

~AliHFMassFitter()

AliHFMassFitter& operator=(const AliHFMassFitter& mfit)

void ComputeNFinalPars()

void ComputeParSize()

void SetDefaultFixParam()

Bool_t SetFixThisParam(Int_t thispar, Bool_t fixpar)

Bool_t GetFixThisParam(Int_t thispar) const

return the value of fFixPar[thispar]

void SetHisto(const TH1F* histoToFit)

void SetType(Int_t fittypeb, Int_t fittypes)

void Reset()

void InitNtuParam(TString ntuname = "ntupar")

void FillNtuParam()

 Fill ntuple with fit parameters

TNtuple* NtuParamOneShot(TString ntuname = "ntupar")

 Create, fill and return ntuple with fit parameters

void RebinMass(Int_t bingroup = 1)

 Rebin invariant mass histogram

Double_t FitFunction4MassDistr(Double_t* x, Double_t* par)

 Fit function for signal+background

Double_t FitFunction4Sgn(Double_t* x, Double_t* par)

 Fit function for the signal

Double_t FitFunction4Bkg(Double_t* x, Double_t* par)

 Fit function for the background

Bool_t SideBandsBounds()

void GetSideBandsBounds(Int_t& lb, Int_t& hb) const

Bool_t CheckRangeFit()

check if the limit of the range correspond to the limit of bins. If not reset the limit to the nearer value which satisfy this condition

Bool_t MassFitter(Bool_t draw = kTRUE)

 Main method of the class: performs the fit of the histogram

Bool_t RefitWithBkgOnly(Bool_t draw = kTRUE)

Double_t GetChiSquare() const

Get Chi^2 method

Double_t GetReducedChiSquare() const

Get reduced Chi^2 method

void GetFitPars(Float_t* pars) const

 Return fit parameters

void IntS(Float_t* valuewitherror) const

void AddFunctionsToHisto()

TH1F* GetHistoClone() const

void WriteHisto(TString path = "./") const

void WriteNtuple(TString path = "./") const

TNtuple* nget=(TNtuple*)fntuParam->Clone();

void WriteCanvas(TString userIDstring = "", TString path = "./", Double_t nsigma = 3, Int_t writeFitInfo = 1, Bool_t draw = kFALSE) const

TVirtualPad* GetPad(Double_t nsigma = 3, Int_t writeFitInfo = 1) const

return a TVirtualPad with the fitted histograms and info

void PlotFit(TVirtualPad* pd, Double_t nsigma = 3, Int_t writeFitInfo = 1) const

plot histogram, fit functions and write parameters according to verbosity level (0,1,>1)

void DrawHere(TVirtualPad* pd, Double_t nsigma = 3, Int_t writeFitInfo = 1) const

draws histogram together with fit functions with default nice colors in user canvas

void DrawFit(Double_t nsigma = 3) const

void PrintParTitles() const

void Signal(Double_t nOfSigma, Double_t& signal, Double_t& errsignal) const

 Return signal integral in mean+- n sigma

void Signal(Double_t min, Double_t max, Double_t& signal, Double_t& errsignal) const

void Background(Double_t nOfSigma, Double_t& background, Double_t& errbackground) const

 Return background integral in mean+- n sigma

void Background(Double_t min, Double_t max, Double_t& background, Double_t& errbackground) const

 Return background integral in a range

void Significance(Double_t nOfSigma, Double_t& significance, Double_t& errsignificance) const

 Return significance in mean+- n sigma

void Significance(Double_t min, Double_t max, Double_t& significance, Double_t& errsignificance) const

 Return significance integral in a range

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 SetReflectionSigmaFactor(Int_t constant)

{ffactor=constant;}

void SetInitialGaussianMean(Double_t mean)

{fMass=mean;}

void SetInitialGaussianSigma(Double_t sigma)

{fSigmaSgn=sigma;}

void SetSideBands(Bool_t onlysidebands = kTRUE)

{fSideBands=onlysidebands;}

void SetFixParam(Bool_t* fixpar)

{fFixPar=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)

{SetInitialGaussianSigma(sigma); SetFixThisParam(fNFinalPars-1,fixpar);}

void GetRangeFit(Double_t& minvalue, Double_t& maxvalue) const

{minvalue=fminMass; maxvalue=fmaxMass;}

Double_t GetMinRangeFit() const

{return fminMass;}

Double_t GetMaxRangeFit() const

{return fmaxMass;}

Int_t GetBinN() const

{return fNbin;}

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 GetMeanUncertainty() const

{return fMassErr;}

Double_t GetSigma() const

{return fSigmaSgn;}

Double_t GetSigmaUncertainty() const

{ return fSigmaSgnErr;}

Double_t GetRawYield() const

{return fRawYield;}

Double_t GetRawYieldError() const

{return fRawYieldErr;}

Bool_t* GetFixParam() const

{return fFixPar;}

TNtuple* GetNtuParam() const

{return fntuParam;}

Double_t IntTot() const

{return fhistoInvMass->Integral("width");}

TF1* GetBackgroundFullRangeFunc()

TF1* GetBackgroundRecalcFunc()

TF1* GetMassFunc()

void SetUseLikelihoodFit()

{fFitOption="L,";}

void SetUseLikelihoodWithWeightsFit()

{fFitOption="WL,";}

void SetUseChi2Fit()

{fFitOption="";}