Namespace for the fitting classes. More...

Namespaces
	FitUtil
	namespace defining utility free functions using in Fit for evaluating the various fit method functions (chi2, likelihood, etc..) given the data and the model function

	HFitInterface

Classes
class	BasicFCN
	BasicFCN class: base class for the objective functions used in the fits It has a reference to the data and th emodel function used in the fit. More...

class	BinData
	Class describing the binned data sets : vectors of x coordinates, y values and optionally error on y values and error on coordinates The dimension of the coordinate is free There are 4 different options: More...

class	BinPoint
	Obsolete class, no more in use. More...

class	Chi2FCN
	Chi2FCN class for binnned fits using the least square methods. More...

struct	DataOptions
	DataOptions : simple structure holding the options on how the data are filled. More...

class	DataRange
	class describing the range in the coordinates it supports multiple range in a coordinate. More...

class	DataVector
	class holding the fit data points. More...

class	DataWrapper
	class maintaining a pointer to external data Using this class avoids copying the data when performing a fit NOTE: this class is not thread-safe and should not be used in parallel fits More...

struct	DummyDeleter

class	FcnAdapter

class	FitConfig
	Class describing the configuration of the fit, options and parameter settings using the ROOT::Fit::ParameterSettings class. More...

class	FitData
	Base class for all the fit data types. More...

class	FitResult
	class containg the result of the fit and all the related information (fitted parameter values, error, covariance matrix and minimizer result information) Contains a pointer also to the fitted (model) function, modified with the fit parameter values. More...

class	Fitter
	Fitter class, entry point for performing all type of fits. More...

class	LogLikelihoodFCN
	LogLikelihoodFCN class for likelihood fits. More...

class	ParameterSettings
	Class, describing value, limits and step size of the parameters Provides functionality also to set/retrieve values, step sizes, limits and fix the parameters. More...

class	PoissonLikelihoodFCN
	class evaluating the log likelihood for binned Poisson likelihood fits it is template to distinguish gradient and non-gradient case More...

class	SparseData

class	UnBinData
	Class describing the unbinned data sets (just x coordinates values) of any dimensions. More...

Typedefs
typedef Chi2FCN< ROOT::Math::IMultiGenFunction >	Chi2Function

typedef Chi2FCN< ROOT::Math::IMultiGradFunction >	Chi2GradFunction

typedef LogLikelihoodFCN< ROOT::Math::IMultiGenFunction >	LogLikelihoodFunction

typedef LogLikelihoodFCN< ROOT::Math::IMultiGradFunction >	LogLikelihoodGradFunction

typedef PoissonLikelihoodFCN< ROOT::Math::IMultiGenFunction >	PoissonLLFunction

typedef PoissonLikelihoodFCN< ROOT::Math::IMultiGradFunction >	PoissonLLGradFunction

Enumerations
enum	EFitObjectType { kHistogram, kGraph }

Functions
double	Chisquare (const TH1 &h1, TF1 &f1, bool useRange, bool usePL=false)
	compute the chi2 value for an histogram given a function (see TH1::Chisquare for the documentation) More...

double	Chisquare (const TGraph &h1, TF1 &f1, bool useRange)
	compute the chi2 value for a graph given a function (see TGraph::Chisquare) More...

void	DivideBox (const vector< double > &min, const vector< double > &max, const vector< double > &bmin, const vector< double > &bmax, const unsigned int size, const unsigned int n, list< Box > &l, const double val, const double error)

void	DoFillData (BinData &dv, const TGraph gr, BinData::ErrorType type, TF1 func)

void	FillData (BinData &dv, const TH1 hist, TF1 func=0)
	fill the data vector from a TH1. More...

void	FillData (SparseData &dv, const TH1 hist, TF1 func=0)
	fill the data vector from a TH1 with sparse data. More...

void	FillData (SparseData &dv, const THnBase hist, TF1 func=0)
	fill the data vector from a THnBase. More...

void	FillData (BinData &dv, const THnBase hist, TF1 func=0)
	fill the data vector from a THnBase. More...

void	FillData (BinData &dv, const TGraph2D gr, TF1 func=0)
	fill the data vector from a TGraph2D. More...

void	FillData (BinData &dv, const TGraph gr, TF1 func=0)
	fill the data vector from a TGraph. More...

void	FillData (BinData &dv, const TMultiGraph gr, TF1 func=0)
	fill the data vector from a TMultiGraph. More...

TFitResultPtr	FitObject (TH1 h1, TF1 f1, Foption_t &option, const ROOT::Math::MinimizerOptions &moption, const char *goption, ROOT::Fit::DataRange &range)
	fitting function for a TH1 (called from TH1::Fit) More...

TFitResultPtr	FitObject (TGraph gr, TF1 f1, Foption_t &option, const ROOT::Math::MinimizerOptions &moption, const char *goption, ROOT::Fit::DataRange &range)
	fitting function for a TGraph (called from TGraph::Fit) More...

TFitResultPtr	FitObject (TMultiGraph mg, TF1 f1, Foption_t &option, const ROOT::Math::MinimizerOptions &moption, const char *goption, ROOT::Fit::DataRange &range)
	fitting function for a MultiGraph (called from TMultiGraph::Fit) More...

TFitResultPtr	FitObject (TGraph2D gr, TF1 f1, Foption_t &option, const ROOT::Math::MinimizerOptions &moption, const char *goption, ROOT::Fit::DataRange &range)
	fitting function for a TGraph2D (called from TGraph2D::Fit) More...

TFitResultPtr	FitObject (THnBase s1, TF1 f1, Foption_t &option, const ROOT::Math::MinimizerOptions &moption, const char *goption, ROOT::Fit::DataRange &range)
	fitting function for a THn / THnSparse (called from THnBase::Fit) More...

void	FitOptionsMake (EFitObjectType type, const char *option, Foption_t &fitOption)
	Decode list of options into fitOption. More...

bool	GetConfidenceIntervals (const TH1 h1, const ROOT::Fit::FitResult &r, TGraphErrors gr, double cl=0.95)
	compute confidence intervals at level cl for a fitted histogram h1 in a TGraphErrors gr More...

BinData::ErrorType	GetDataType (const TGraph *gr, DataOptions &fitOpt)

BinData::ErrorType	GetDataType (const TGraph2D *gr, const DataOptions &fitOpt)

void	Init2DGaus (const ROOT::Fit::BinData &data, TF1 *f1)
	compute initial parameter for 2D gaussian function given the fit data Set the sigma limits for zero top 10* initial rms values Set the initial parameter values in the TF1 More...

void	InitExpo (const ROOT::Fit::BinData &data, TF1 *f1)
	compute initial parameter for an exponential function given the fit data Set the constant and slope assuming a simple exponential going through xmin and xmax of the data set More...

void	InitGaus (const ROOT::Fit::BinData &data, TF1 *f1)
	compute initial parameter for gaussian function given the fit data Set the sigma limits for zero top 10* initial rms values Set the initial parameter values in the TF1 More...

bool	lessRange (const std::pair< double, double > &r1, const std::pair< double, double > &r2)

ostream &	operator<< (ostream &os, const ROOT::Fit::Box &b)

TFitResultPtr	UnBinFit (ROOT::Fit::UnBinData data, TF1 f1, Foption_t &option, const ROOT::Math::MinimizerOptions &moption)
	fit an unbin data set (from tree or from histogram buffer) using a TF1 pointer and fit options. More...

Variables
double	gDefaultErrorDef = ROOT::Math::MinimizerOptions::DefaultErrorDef()

const int	gInitialResultStatus = -99

Detailed Description

Namespace for the fitting classes.

Typedef Documentation

◆ Chi2Function

typedef Chi2FCN<ROOT::Math::IMultiGenFunction> ROOT::Fit::Chi2Function

Definition at line 189 of file Chi2FCN.h.

◆ Chi2GradFunction

typedef Chi2FCN<ROOT::Math::IMultiGradFunction> ROOT::Fit::Chi2GradFunction

Definition at line 190 of file Chi2FCN.h.

◆ LogLikelihoodFunction

typedef LogLikelihoodFCN<ROOT::Math::IMultiGenFunction> ROOT::Fit::LogLikelihoodFunction

Definition at line 193 of file LogLikelihoodFCN.h.

◆ LogLikelihoodGradFunction

typedef LogLikelihoodFCN<ROOT::Math::IMultiGradFunction> ROOT::Fit::LogLikelihoodGradFunction

Definition at line 194 of file LogLikelihoodFCN.h.

◆ PoissonLLFunction

typedef PoissonLikelihoodFCN<ROOT::Math::IMultiGenFunction> ROOT::Fit::PoissonLLFunction

Definition at line 190 of file PoissonLikelihoodFCN.h.

◆ PoissonLLGradFunction

typedef PoissonLikelihoodFCN<ROOT::Math::IMultiGradFunction> ROOT::Fit::PoissonLLGradFunction

Definition at line 191 of file PoissonLikelihoodFCN.h.

Enumeration Type Documentation

◆ EFitObjectType

enum ROOT::Fit::EFitObjectType

Enumerator
kHistogram
kGraph

Definition at line 48 of file HFitInterface.h.

Function Documentation

◆ Chisquare() [1/2]

double ROOT::Fit::Chisquare	(	const TH1 &	h1,
		TF1 &	f1,
		bool	useRange,
		bool	usePL = `false`
	)

compute the chi2 value for an histogram given a function (see TH1::Chisquare for the documentation)

Definition at line 997 of file HFitImpl.cxx.

◆ Chisquare() [2/2]

double ROOT::Fit::Chisquare	(	const TGraph &	h1,
		TF1 &	f1,
		bool	useRange
	)

compute the chi2 value for a graph given a function (see TGraph::Chisquare)

Definition at line 1001 of file HFitImpl.cxx.

◆ DivideBox()

void ROOT::Fit::DivideBox	(	const vector< double > &	min,
		const vector< double > &	max,
		const vector< double > &	bmin,
		const vector< double > &	bmax,
		const unsigned int	size,
		const unsigned int	n,
		list< Box > &	l,
		const double	val,
		const double	error
	)

Definition at line 152 of file SparseData.cxx.

◆ DoFillData()

void ROOT::Fit::DoFillData	(	BinData &	dv,
		const TGraph *	gr,
		BinData::ErrorType	type,
		TF1 *	func
	)

Definition at line 576 of file HFitInterface.cxx.