A class for fitting graphs with functions. More...

#include <BCGraphFitter.h>

Inheritance diagram for BCGraphFitter:

Collaboration diagram for BCGraphFitter:

Public Member Functions
Constructors and destructors
	BCGraphFitter ()

	BCGraphFitter (const char *name)

	BCGraphFitter (TGraphErrors graph, TF1 func)

	BCGraphFitter (const char name, TGraphErrors graph, TF1 *func)

	~BCGraphFitter ()

Member functions (get)
TGraphErrors *	GetGraph ()

TF1 *	GetFitFunction ()

TGraph *	GetErrorBand ()

TGraph *	GetGraphFitFunction ()

Member functions (set)
int	SetGraph (TGraphErrors *graph)

int	SetFitFunction (TF1 *func)

Member functions (miscellaneous methods)
double	LogLikelihood (const std::vector< double > &parameters)

double	FitFunction (const std::vector< double > &x, const std::vector< double > &parameters)

int	Fit ()

int	Fit (TGraphErrors graph, TF1 func)

void	DrawFit (const char *options="", bool flaglegend=false)

virtual double	CDF (const std::vector< double > &parameters, int index, bool lower=false)

Public Member Functions inherited from BCFitter
	BCFitter ()

	BCFitter (const char *name)

	~BCFitter ()

TGraph *	GetErrorBand ()

TH2D *	GetErrorBandXY () const

TH2D *	GetErrorBandXY_yellow (double level=.68, int nsmooth=0) const

std::vector< double >	GetErrorBand (double level) const

TGraph *	GetErrorBandGraph (double level1, double level2) const

TGraph *	GetFitFunctionGraph (const std::vector< double > &parameters)

TGraph *	GetFitFunctionGraph ()

TGraph *	GetFitFunctionGraph (const std::vector< double > &parameters, double xmin, double xmax, int n=1000)

void	FixDataAxis (unsigned int index, bool fixed)

bool	GetFixedDataAxis (unsigned int index) const

void	SetFillErrorBand (bool flag=true)

void	SetErrorBandHisto (TH2D *h)

void	UnsetFillErrorBand ()

void	SetFitFunctionIndexX (int index)

void	SetFitFunctionIndexY (int index)

void	SetFitFunctionIndices (int indexx, int indexy)

void	SetErrorBandContinuous (bool flag)

int	ReadErrorBandFromFile (const char *file)

void	MCMCIterationInterface ()

void	MarginalizePreprocess ()

void	MarginalizePostprocess ()

void	FillErrorBand ()

Public Member Functions inherited from BCModel
	BCModel (const char *name="model")

	BCModel (const BCModel &bcmodel)

virtual	~BCModel ()

BCModel &	operator= (const BCModel &bcmodel)

const std::string &	GetName () const

double	GetModelAPrioriProbability () const

double	GetModelAPosterioriProbability () const

BCDataSet *	GetDataSet () const

BCDataPoint *	GetDataPointLowerBoundaries () const

BCDataPoint *	GetDataPointUpperBoundaries () const

double	GetDataPointLowerBoundary (unsigned int index) const

double	GetDataPointUpperBoundary (unsigned int index) const

bool	GetFlagBoundaries () const

unsigned	GetNDataPoints () const

BCDataPoint *	GetDataPoint (unsigned int index) const

void	SetName (const char *name)

void	SetModelAPrioriProbability (double probability)

void	SetModelAPosterioriProbability (double probability)

virtual int	AddParameter (BCParameter *parameter)

void	SetDataSet (BCDataSet *dataset)

void	SetSingleDataPoint (BCDataPoint *datapoint)

void	SetSingleDataPoint (BCDataSet *dataset, unsigned int index)

void	SetDataBoundaries (unsigned int index, double lowerboundary, double upperboundary, bool fixed=false)

void	SetDataPointLowerBoundaries (BCDataPoint *datasetlowerboundaries)

void	SetDataPointUpperBoundaries (BCDataPoint *datasetupperboundaries)

void	SetDataPointLowerBoundary (int index, double lowerboundary)

void	SetDataPointUpperBoundary (int index, double upperboundary)

int	SetPrior (int index, TF1 *f)

int	SetPrior (const char name, TF1 f)

int	SetPriorDelta (int index, double value)

int	SetPriorDelta (const char *name, double value)

int	SetPriorGauss (int index, double mean, double sigma)

int	SetPriorGauss (const char *name, double mean, double sigma)

int	SetPriorGauss (int index, double mean, double sigmadown, double sigmaup)

int	SetPriorGauss (const char *name, double mean, double sigmadown, double sigmaup)

int	SetPrior (int index, TH1 *h, bool flag=false)

int	SetPrior (const char name, TH1 h, bool flag=false)

int	SetPriorConstant (int index)

int	SetPriorConstant (const char *name)

int	SetPriorConstantAll ()

void	Copy (const BCModel &bcmodel)

double	APrioriProbability (const std::vector< double > &parameters)

virtual double	LogAPrioriProbability (const std::vector< double > &parameters)

virtual double	Likelihood (const std::vector< double > &params)

double	ProbabilityNN (const std::vector< double > &params)

double	LogProbabilityNN (const std::vector< double > &parameters)

double	Probability (const std::vector< double > &parameter)

double	LogProbability (const std::vector< double > &parameter)

virtual double	SamplingFunction (const std::vector< double > &parameters)

double	Eval (const std::vector< double > &parameters)

virtual double	LogEval (const std::vector< double > &parameters)

virtual void	CorrelateDataPointValues (std::vector< double > &x)

double	GetPvalueFromChi2 (const std::vector< double > &par, int sigma_index)

double	GetPvalueFromKolmogorov (const std::vector< double > &par, int index)

double	GetPvalueFromChi2NDoF (std::vector< double > par, int sigma_index)

BCH1D *	CalculatePValue (std::vector< double > par, bool flag_histogram=false)

double	GetPValue ()

double	GetPValueNDoF ()

double	GetChi2NDoF ()

std::vector< double >	GetChi2Runs (int dataIndex, int sigmaIndex)

void	SetGoFNIterationsMax (int n)

void	SetGoFNIterationsRun (int n)

void	SetGoFNChains (int n)

double	HessianMatrixElement (const BCParameter parameter1, const BCParameter parameter2, std::vector< double > point)

void	PrintSummary ()

void	PrintResults (const char *file)

void	PrintShortFitSummary (int chi2flag=0)

void	PrintHessianMatrix (std::vector< double > parameters)

Additional Inherited Members
Protected Attributes inherited from BCFitter
TH2D *	fErrorBandXY

Protected Attributes inherited from BCModel
std::string	fName

double	fModelAPriori

double	fModelAPosteriori

BCDataSet *	fDataSet

BCDataPoint *	fDataPointLowerBoundaries

BCDataPoint *	fDataPointUpperBoundaries

std::vector< bool >	fDataFixedValues

double	fPValue

double	fChi2NDoF

double	fPValueNDoF

bool	flag_discrete

int	fGoFNIterationsMax

int	fGoFNIterationsRun

int	fGoFNChains

std::vector< TNamed * >	fPriorContainer

bool	fPriorConstantAll

std::vector< bool >	fPriorContainerConstant

std::vector< bool >	fPriorContainerInterpolate

Detailed Description

A class for fitting graphs with functions.

Author: Daniel Kollar; Kevin Kröninger

Version: 1.0

Date: 2008 This class allows fitting of a TGraphErrors using a TF1 function. It doeasn't take the x uncertainties into account. For that look at BCGraphXFitter (not yet implemented).

Definition at line 35 of file BCGraphFitter.h.

Constructor & Destructor Documentation

BCGraphFitter::BCGraphFitter ( )

Default constructor

Definition at line 27 of file BCGraphFitter.cxx.

BCGraphFitter::BCGraphFitter ( const char * name )

Constructor

Parameters

name	name of the model

Definition at line 40 of file BCGraphFitter.cxx.

BCGraphFitter::BCGraphFitter	(	TGraphErrors *	graph,
		TF1 *	func
	)

Constructor

Parameters

graph	pointer to TGraphErrors
func	pointer to TF1

Definition at line 53 of file BCGraphFitter.cxx.

BCGraphFitter::BCGraphFitter	(	const char *	name,
		TGraphErrors *	graph,
		TF1 *	func
	)

Constructor

Parameters

name	name of the model
graph	pointer to TGraphErrors
func	pointer to TF1

Definition at line 69 of file BCGraphFitter.cxx.

BCGraphFitter::~BCGraphFitter ( )

The default destructor.

Definition at line 206 of file BCGraphFitter.cxx.

Member Function Documentation

double BCGraphFitter::CDF	(	const std::vector< double > &	,
		int	,
		bool	= `false`
	)

virtual

1dim cumulative distribution function of the probability to get the data f(x_i|param) for a single measurement, assumed to be of identical functional form for all measurements

Parameters

parameters	The parameter values at which point to compute the cdf
index	The data point index starting at 0,1...N-1
lower	only needed for discrete distributions! Return the CDF for the count one less than actually observed, e.g. in Poisson process, if 3 actually observed, then CDF(2) is returned

Reimplemented from BCModel.

Definition at line 383 of file BCGraphFitter.cxx.

void BCGraphFitter::DrawFit	(	const char *	options = `""`,
		bool	flaglegend = `false`
	)

virtual

Draw the fit in the current pad.

Implements BCFitter.

Definition at line 330 of file BCGraphFitter.cxx.

int BCGraphFitter::Fit ( )

virtual

Performs the fit. The graph and the function has to be set beforehand.

Returns: An error code.

Implements BCFitter.

Definition at line 281 of file BCGraphFitter.cxx.

int BCGraphFitter::Fit	(	TGraphErrors *	graph,
		TF1 *	func
	)

Performs the fit of the graph with the function.

Parameters

graph	pointer to TGraphErrors object
func	pointer to TF1 object

Returns: An error code.

Definition at line 262 of file BCGraphFitter.cxx.

double BCGraphFitter::FitFunction	(	const std::vector< double > &	x,
		const std::vector< double > &	parameters
	)

virtual

Returns the value of the 1D fit function for a given set of parameters at a given x.

Parameters

x	point to calculate the function value at
parameters	parameters of the function

Reimplemented from BCFitter.

Definition at line 247 of file BCGraphFitter.cxx.

TGraph* BCGraphFitter::GetErrorBand ( )

inline

Returns: pointer to the error band

Definition at line 85 of file BCGraphFitter.h.

TF1* BCGraphFitter::GetFitFunction ( )

inline

Returns: pointer to TF1

Definition at line 80 of file BCGraphFitter.h.

TGraphErrors* BCGraphFitter::GetGraph ( )

inline

Returns: pointer to TGraphErrors

Definition at line 75 of file BCGraphFitter.h.

TGraph* BCGraphFitter::GetGraphFitFunction ( )

inline

Returns: pointer to a graph for the fit function

Definition at line 90 of file BCGraphFitter.h.

double BCGraphFitter::LogLikelihood ( const std::vector< double > & parameters )

virtual

The log of the prior probability. It is set to be flat in all parameters.

Parameters

parameters	vector containing the parameter values The log of the conditional probability.
parameters	vector containing the parameter values

Implements BCModel.

Definition at line 213 of file BCGraphFitter.cxx.

int BCGraphFitter::SetFitFunction ( TF1 * func )

Parameters

func	pointer to TF1 object

Definition at line 162 of file BCGraphFitter.cxx.

int BCGraphFitter::SetGraph ( TGraphErrors * graph )

Parameters

graph pointer to TGraphErrors object

Definition at line 85 of file BCGraphFitter.cxx.

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

/home/beaujean/workspace/bat/models/base/BCGraphFitter.h
/home/beaujean/workspace/bat/models/base/BCGraphFitter.cxx

Public Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation