Glauber::Fitter Class Reference

Class to fit histo with Glauber based function. More...

#include <Fitter.hpp>

Public Member Functions
	Fitter ()=default
	Fitter (std::unique_ptr< TTree > tree)
virtual	~Fitter ()=default
void	Init (int nEntries)
void	SetGlauberFitHisto (double f, double mu, double k, Int_t n=10000, Bool_t Norm2Data=true)
void	NormalizeGlauberFit ()
double	FitGlauber (double *par, double f0, Int_t k0, Int_t k1, Int_t nEvents)
void	FindMuGoldenSection (double *mu, double *chi2, double mu_min, double mu_max, double f, double k, Int_t nEvents=10000, Int_t nIter=5)
double	GetChi2 () const
double	NBD (double n, double mu, double k) const
void	SetNBDhist (double mu, double k)
double	Nancestors (double f) const
double	NancestorsMax (double f) const
std::unique_ptr< TH1F >	GetModelHisto (const double range[2], const TString &name, const double par[3], Int_t nEvents)
void	SetInputHisto (const TH1F &h)
void	SetFitMinBin (Int_t min)
void	SetFitMaxBin (Int_t min)
void	SetNormMinBin (Int_t min)
void	SetBinSize (Int_t size)
void	SetOutDirName (const TString &name)
void	SetMode (const TString &mode)
TH1F	GetGlauberFitHisto () const
TH1F	GetDataHisto () const
TH1F	GetNBDHisto () const
TH1F	GetNpartHisto () const
TH1F	GetNcollHisto () const
TH1F	GetBestFiHisto () const

Detailed Description

Class to fit histo with Glauber based function.

Author

Viktor Klochkov (kloch.nosp@m.kov4.nosp@m.4@gma.nosp@m.il.c.nosp@m.om)

Ilya Selyuzhenkov (ilya..nosp@m.sely.nosp@m.uzhen.nosp@m.kov@.nosp@m.gmail.nosp@m..com)

Constructor & Destructor Documentation

Fitter()

Glauber::Fitter::Fitter ( )

default

Default constructor

~Fitter()

virtual Glauber::Fitter::~Fitter ( )

virtualdefault

Destructor

Member Function Documentation

FindMuGoldenSection()

void Glauber::Fitter::FindMuGoldenSection	(	double *	mu,
		double *	chi2,
		double	mu_min,
		double	mu_max,
		double	f,
		double	k,
		Int_t	nEvents = 10000,
		Int_t	nIter = 5 )

Parameters

mu	mean value of negative binominal distribution (we are looking for it)
chi2	return value (indicates good match)
mu_min	lower search edge for mean value NBD
mu_max	upper search edge for mean value NBD
f	parameter of Na
k	NBD parameter
nEvents
nIter

FitGlauber()

double Glauber::Fitter::FitGlauber	(	double *	par,
		double	f0,
		Int_t	k0,
		Int_t	k1,
		Int_t	nEvents )

Find the best match

Parameters

return	value of best fit parameters
f0	parameter of Na, for which chi2 will be calculated
k0	lower search edge for NBD parameter
k1	upper search edge for NBD parameter
nEvents

GetChi2()

double Glauber::Fitter::GetChi2

(

)

const

Compare fGlauberFitHisto with fDataHisto

Returns

chi2 value

GetModelHisto()

std::unique_ptr< TH1F > Glauber::Fitter::GetModelHisto	(	const double	range[2],
		const TString &	name,
		const double	par[3],
		Int_t	nEvents )

Creates histo with a given model parameter distribution

Parameters

range	observable range
name	name of the MC-Glauber model parameter
par	array with fit parameters
Nevents

Returns

pointer to the histogram

NBD()

double Glauber::Fitter::NBD	(	double	n,
		double	mu,
		double	k ) const

Negative Binomial Distribution (by definition)

Parameters

n	argument
mu	mean
k	argument

Returns

NBD for a given parameters

SetNBDhist()

void Glauber::Fitter::SetNBDhist	(	double	mu,
		double	k )

Popuates histogram nbd_<mean>_<k> with values of NBD

Parameters

mu
k

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The documentation for this class was generated from the following files:

• src/Fitter.hpp
• src/Fitter.cpp