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 More...

Typedefs
typedef ROOT::Math::IParamMultiGradFunction	IGradModelFunction

typedef ROOT::Math::IParamMultiFunction	IModelFunction

Functions
template<class GFunc >
void	CalculateGradientIntegral (const GFunc &gfunc, const double x1, const double x2, const double p, double g)

bool	CheckValue (double &rval)

double	CorrectValue (double rval)

double	EvaluateChi2 (const IModelFunction &func, const BinData &data, const double *x, unsigned int &nPoints)
	Chi2 Functions. More...

double	EvaluateChi2Effective (const IModelFunction &func, const BinData &data, const double *x, unsigned int &nPoints)
	evaluate the effective Chi2 given a model function and the data at the point x. More...

void	EvaluateChi2Gradient (const IModelFunction &func, const BinData &data, const double x, double grad, unsigned int &nPoints)
	evaluate the Chi2 gradient given a model function and the data at the point x. More...

double	EvaluateChi2Residual (const IModelFunction &func, const BinData &data, const double x, unsigned int ipoint, double g=0)
	Parallel evaluate the Chi2 given a model function and the data at the point x. More...

double	EvaluateLogL (const IModelFunction &func, const UnBinData &data, const double *x, int iWeight, bool extended, unsigned int &nPoints)
	evaluate the LogL given a model function and the data at the point x. More...

void	EvaluateLogLGradient (const IModelFunction &func, const UnBinData &data, const double x, double grad, unsigned int &nPoints)
	evaluate the LogL gradient given a model function and the data at the point x. More...

double	EvaluatePdf (const IModelFunction &func, const UnBinData &data, const double x, unsigned int ipoint, double g=0)
	evaluate the pdf contribution to the LogL given a model function and the BinPoint data. More...

double	EvaluatePoissonBinPdf (const IModelFunction &func, const BinData &data, const double x, unsigned int ipoint, double g=0)
	evaluate the pdf contribution to the Poisson LogL given a model function and the BinPoint data. More...

double	EvaluatePoissonLogL (const IModelFunction &func, const BinData &data, const double *x, int iWeight, bool extended, unsigned int &nPoints)
	evaluate the Poisson LogL given a model function and the data at the point x. More...

void	EvaluatePoissonLogLGradient (const IModelFunction &func, const BinData &data, const double x, double grad)
	evaluate the Poisson LogL given a model function and the data at the point x. More...

Detailed Description

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

Typedef Documentation

◆ IGradModelFunction

typedef ROOT::Math::IParamMultiGradFunction ROOT::Fit::FitUtil::IGradModelFunction

Definition at line 41 of file FitUtil.h.

◆ IModelFunction

typedef ROOT::Math::IParamMultiFunction ROOT::Fit::FitUtil::IModelFunction

Definition at line 40 of file FitUtil.h.

Function Documentation

◆ CalculateGradientIntegral()

template<class GFunc >

void ROOT::Fit::FitUtil::CalculateGradientIntegral	(	const GFunc &	gfunc,
		const double *	x1,
		const double *	x2,
		const double *	p,
		double *	g
	)

Definition at line 314 of file FitUtil.cxx.

◆ CheckValue()

bool ROOT::Fit::FitUtil::CheckValue ( double & rval )

Definition at line 294 of file FitUtil.cxx.

◆ CorrectValue()

double ROOT::Fit::FitUtil::CorrectValue ( double rval )

Definition at line 283 of file FitUtil.cxx.

◆ EvaluateChi2()

double ROOT::Fit::FitUtil::EvaluateChi2	(	const IModelFunction &	func,
		const BinData &	data,
		const double *	x,
		unsigned int &	nPoints
	)

Chi2 Functions.

evaluate the Chi2 given a model function and the data at the point x. return also nPoints as the effective number of used points in the Chi2 evaluation

Definition at line 338 of file FitUtil.cxx.

◆ EvaluateChi2Effective()

double ROOT::Fit::FitUtil::EvaluateChi2Effective	(	const IModelFunction &	func,
		const BinData &	data,
		const double *	x,
		unsigned int &	nPoints
	)

evaluate the effective Chi2 given a model function and the data at the point x.

The effective chi2 uses the errors on the coordinates : W = 1/(sigma_y**2 + ( sigma_x_i * df/dx_i )**2 ) return also nPoints as the effective number of used points in the Chi2 evaluation

Definition at line 474 of file FitUtil.cxx.

◆ EvaluateChi2Gradient()

void ROOT::Fit::FitUtil::EvaluateChi2Gradient	(	const IModelFunction &	func,
		const BinData &	data,
		const double *	x,
		double *	grad,
		unsigned int &	nPoints
	)

evaluate the Chi2 gradient given a model function and the data at the point x.

return also nPoints as the effective number of used points in the Chi2 evaluation

Definition at line 700 of file FitUtil.cxx.

◆ EvaluateChi2Residual()

double ROOT::Fit::FitUtil::EvaluateChi2Residual	(	const IModelFunction &	func,
		const BinData &	data,
		const double *	p,
		unsigned int	i,
		double *	g = `0`
	)

Parallel evaluate the Chi2 given a model function and the data at the point x.

evaluate the chi2 contribution (residual term) only for data with no coord-errors This function is used in the specialized least square algorithms like FUMILI or L.M.

return also nPoints as the effective number of used points in the Chi2 evaluation evaluate the residual contribution to the Chi2 given a model function and the BinPoint data and if the pointer g is not null evaluate also the gradient of the residual. If the function provides parameter derivatives they are used otherwise a simple derivative calculation is used

if we have error on the coordinates the method is not yet implemented integral option is also not yet implemented one can use in that case normal chi2 method

Definition at line 595 of file FitUtil.cxx.

◆ EvaluateLogL()

double ROOT::Fit::FitUtil::EvaluateLogL	(	const IModelFunction &	func,
		const UnBinData &	data,
		const double *	x,
		int	iWeight,
		bool	extended,
		unsigned int &	nPoints
	)

evaluate the LogL given a model function and the data at the point x.

return also nPoints as the effective number of used points in the LogL evaluation

Definition at line 893 of file FitUtil.cxx.

◆ EvaluateLogLGradient()

void ROOT::Fit::FitUtil::EvaluateLogLGradient	(	const IModelFunction &	func,
		const UnBinData &	data,
		const double *	x,
		double *	grad,
		unsigned int &	nPoints
	)

evaluate the LogL gradient given a model function and the data at the point x.

return also nPoints as the effective number of used points in the LogL evaluation

Definition at line 1018 of file FitUtil.cxx.

◆ EvaluatePdf()

double ROOT::Fit::FitUtil::EvaluatePdf	(	const IModelFunction &	func,
		const UnBinData &	data,
		const double *	x,
		unsigned int	ipoint,
		double *	g = `0`
	)

evaluate the pdf contribution to the LogL given a model function and the BinPoint data.

If the pointer g is not null evaluate also the gradient of the pdf. If the function provides parameter derivatives they are used otherwise a simple derivative calculation is used

Definition at line 845 of file FitUtil.cxx.

◆ EvaluatePoissonBinPdf()

double ROOT::Fit::FitUtil::EvaluatePoissonBinPdf	(	const IModelFunction &	func,
		const BinData &	data,
		const double *	x,
		unsigned int	ipoint,
		double *	g = `0`
	)

evaluate the pdf contribution to the Poisson LogL given a model function and the BinPoint data.

evaluate the pdf (Poisson) contribution to the logl (return actually log of pdf) and its gradient

If the pointer g is not null evaluate also the gradient of the Poisson pdf. If the function provides parameter derivatives they are used otherwise a simple derivative calculation is used

Definition at line 1060 of file FitUtil.cxx.

◆ EvaluatePoissonLogL()

double ROOT::Fit::FitUtil::EvaluatePoissonLogL	(	const IModelFunction &	func,
		const BinData &	data,
		const double *	x,
		int	iWeight,
		bool	extended,
		unsigned int &	nPoints
	)

evaluate the Poisson LogL given a model function and the data at the point x.

return also nPoints as the effective number of used points in the LogL evaluation By default is extended, pass extedend to false if want to be not extended (MultiNomial)

Definition at line 1163 of file FitUtil.cxx.

◆ EvaluatePoissonLogLGradient()

void ROOT::Fit::FitUtil::EvaluatePoissonLogLGradient	(	const IModelFunction &	func,
		const BinData &	data,
		const double *	x,
		double *	grad
	)

evaluate the Poisson LogL given a model function and the data at the point x.

return also nPoints as the effective number of used points in the LogL evaluation

Definition at line 1344 of file FitUtil.cxx.

Typedefs

Functions

Detailed Description

Typedef Documentation

◆ IGradModelFunction

◆ IModelFunction

Function Documentation

◆ CalculateGradientIntegral()

◆ CheckValue()

◆ CorrectValue()

◆ EvaluateChi2()

◆ EvaluateChi2Effective()

◆ EvaluateChi2Gradient()

◆ EvaluateChi2Residual()

◆ EvaluateLogL()

◆ EvaluateLogLGradient()

◆ EvaluatePdf()

◆ EvaluatePoissonBinPdf()

◆ EvaluatePoissonLogL()

◆ EvaluatePoissonLogLGradient()