Class for defining a PDF that is the DP-dependent sum of two other PDFs. More...

#include <LauDPDepSumPdf.hh>

Inheritance diagram for LauDPDepSumPdf:

Public Types
enum	DPAxis { M12, M13, M23, CentreDist, MMIN, MMAX }
	Define possibilties for the DP axes. More...

Public Types inherited from LauAbsPdf
enum	IntMethod { GaussLegendre, Trapezoid }
	The possible numerical intergration methods. More...

typedef std::vector< Double_t >	LauAbscissas
	The type used for containing multiple abscissa values. More...

Public Member Functions
	LauDPDepSumPdf (LauAbsPdf pdf1, LauAbsPdf pdf2, const LauDaughters daughters, const TH2 dpHisto, Bool_t upperHalf=kFALSE, Bool_t useSpline=kFALSE)
	Constructor - fraction determined by 2D histogram. More...

	LauDPDepSumPdf (LauAbsPdf pdf1, LauAbsPdf pdf2, LauParameter frac, const LauDaughters daughters, const std::vector< Double_t > &fracCoeffs, DPAxis dpAxis)
	Constructor - fraction determined by a polynomial of a DP "axis". More...

virtual	~LauDPDepSumPdf ()
	Destructor. More...

virtual Bool_t	isDPDependent () const
	Copy constructor. More...

virtual void	cacheInfo (const LauFitDataTree &inputData)
	Cache information from data. More...

virtual void	calcLikelihoodInfo (const LauAbscissas &abscissas)
	Calculate the likelihood (and intermediate info) for a given abscissa. More...

virtual void	calcLikelihoodInfo (UInt_t iEvt)
	Calculate the likelihood (and intermediate info) for a given event number. More...

virtual void	calcNorm ()
	Calculate the normalisation. More...

virtual void	calcPDFHeight (const LauKinematics *kinematics)
	Calculate the PDF height. More...

Public Member Functions inherited from LauAbsPdf
	LauAbsPdf (const TString &theVarName, const std::vector< LauAbsRValue * > &params, Double_t minAbscissa, Double_t maxAbscissa)
	Constructor for a 1D PDF. More...

	LauAbsPdf (const std::vector< TString > &theVarNames, const std::vector< LauAbsRValue * > &params, const LauFitData &minAbscissas, const LauFitData &maxAbscissas)
	Constructor for a multidimensional PDF. More...

virtual	~LauAbsPdf ()
	Destructor. More...

virtual const TString &	varName () const
	Retrieve the name of the abscissa. More...

virtual std::vector< TString >	varNames () const
	Retrieve the names of the abscissas. More...

virtual UInt_t	nParameters () const
	Retrieve the number of PDF parameters. More...

virtual UInt_t	nFixedParameters () const
	Retrieve the number of fixed PDF parameters. More...

virtual UInt_t	nInputVars () const
	Retrieve the number of abscissas. More...

virtual Double_t	getMinAbscissa () const
	Retrieve the minimum value of the (primary) abscissa. More...

virtual Double_t	getMaxAbscissa () const
	Retrieve the maximum value of the (primary) abscissa. More...

virtual Double_t	getRange () const
	Retrieve the range of the (primary) abscissa. More...

virtual Double_t	getMinAbscissa (const TString &theVarName) const
	Retrieve the minimum value of the specified abscissa. More...

virtual Double_t	getMaxAbscissa (const TString &theVarName) const
	Retrieve the maximum value of the specified abscissa. More...

virtual Double_t	getRange (const TString &theVarName) const
	Retrieve the range of the specified abscissa. More...

virtual LauFitData	getMinAbscissas () const
	Retrieve the minimum values of all the abscissas. More...

virtual LauFitData	getMaxAbscissas () const
	Retrieve the maximum values of all the abscissas. More...

virtual LauFitData	getRanges () const
	Retrieve the ranges of all the abscissas. More...

virtual void	updatePulls ()
	Update the pulls for all parameters. More...

virtual Double_t	getUnNormLikelihood () const
	Retrieve the unnormalised likelihood value. More...

virtual Double_t	getNorm () const
	Retrieve the normalisation factor. More...

virtual Double_t	getLikelihood () const
	Retrieve the normalised likelihood value. More...

virtual Double_t	getLikelihood (const TString &theVarName) const
	For multidimentional PDFs, retrieve the normalised likelihood value of a named variable. More...

virtual Double_t	getMaxHeight () const
	Retrieve the maximum height. More...

virtual LauFitData	generate (const LauKinematics *kinematics)
	Generate an event from the PDF. More...

virtual void	setRandomFun (TRandom *randomFun)
	Set the random function used for toy MC generation. More...

virtual const std::vector < LauAbsRValue * > &	getParameters () const
	Retrieve the parameters of the PDF, e.g. so that they can be loaded into a fit. More...

virtual std::vector < LauAbsRValue * > &	getParameters ()
	Retrieve the parameters of the PDF, e.g. so that they can be loaded into a fit. More...

virtual Bool_t	heightUpToDate () const
	Check if the maximum height of the PDF is up to date. More...

virtual void	heightUpToDate (Bool_t hutd)
	Set whether the height is up to date. More...

virtual Bool_t	cachePDF () const
	Check if the PDF is to be cached. More...

virtual Int_t	nNormPoints () const
	Retrieve the number of points to integrate over when normalising. More...

virtual void	nNormPoints (Int_t nPoints)
	Set the number of points to integrate over when normalising. More...

virtual IntMethod	integMethod () const
	Retrieve the integration method used to normalise the PDF. More...

virtual void	integMethod (IntMethod method)
	Set the integration method used to normalise the PDF. More...

Protected Member Functions
void	scaleFrac (Double_t dpPos)
	Scale fraction according to DP position. More...

Protected Member Functions inherited from LauAbsPdf
virtual void	cachePDF (Bool_t doCachePDF)
	Set whether the PDF is to be cached. More...

virtual Double_t	integrGaussLegendre ()
	Integrate the PDF using the Gauss-Legendre method. More...

virtual Double_t	integTrapezoid ()
	Integrate the PDF using the simple trapezoid method. More...

virtual void	setNorm (Double_t norm)
	Set the normalisation factor. More...

virtual void	setMaxHeight (Double_t maxHeight)
	Set the maximum height. More...

virtual void	setMinAbscissa (const TString &theVarName, Double_t minAbscissa)
	Set the minimum value of the specified abscissa. More...

virtual void	setMaxAbscissa (const TString &theVarName, Double_t maxAbscissa)
	Set the maximum value of the specified abscissa. More...

virtual void	setRange (const TString &theVarName, Double_t minAbscissa, Double_t maxAbscissa)
	Set the range of the specified abscissa. More...

virtual Bool_t	checkRange (const LauAbscissas &abscissas) const
	Check that all abscissas are within their allowed ranges. More...

virtual void	setUnNormPDFVal (Double_t unNormPDFVal)
	Set the unnormalised likelihood. More...

virtual LauAbsRValue *	findParameter (const TString &parName)
	Retrieve the specified parameter. More...

virtual const LauAbsRValue *	findParameter (const TString &parName) const
	Retrieve the specified parameter. More...

virtual TRandom *	getRandomFun () const
	Retrieve the random function used for MC generation. More...

virtual std::vector < LauAbscissas > &	getAbscissas ()
	Retrieve the abscissa(s) More...

virtual const std::vector < LauAbscissas > &	getAbscissas () const
	Retrieve the abscissa(s) More...

virtual std::vector< Double_t > &	getUnNormPDFValues ()
	Retrieve the cached unnormalised likelihood values. More...

virtual const std::vector < Double_t > &	getUnNormPDFValues () const
	Retrieve the cached unnormalised likelihood values. More...

virtual void	addParameters (std::vector< LauAbsRValue * > &params)
	Add parameters to the PDF. More...

virtual Bool_t	withinNormCalc () const
	Check whether the calcNorm method is running. More...

virtual void	withinNormCalc (Bool_t yorn)
	Set flag to track whether the calcNorm method is running. More...

virtual Bool_t	withinGeneration () const
	Check whether the generate method is running. More...

virtual void	withinGeneration (Bool_t yorn)
	Set flag to track whether the generate method is running. More...

virtual Bool_t	normWeightsDone () const
	Check whether the normalisation weights have been calculated. More...

virtual void	normWeightsDone (Bool_t yorn)
	Set whether the normalisation weights have been calculated. More...

virtual void	getNormWeights ()
	Calculate the weights and abscissas used for normalisation. More...

virtual const std::vector < LauAbscissas > &	normAbscissas () const
	Retrieve the abscissa points used for normalisation. More...

virtual const std::vector < Double_t > &	normWeights () const
	Retrieve the weights used for normalisation. More...

Private Member Functions
	LauDPDepSumPdf (const LauDPDepSumPdf &other)
	Copy constructor - not implemented. More...

Private Attributes
LauDaughters *	daughters_
	Daughter particles. More...

LauAbsPdf *	pdf1_
	First PDF. More...

LauAbsPdf *	pdf2_
	Second PDF. More...

LauAbsRValue *	frac_
	Fractional contribution of first PDF to the final PDF. More...

Double_t	fracVal_
	Fractional contribution of first PDF to the final PDF. More...

LauEffModel *	dpDependence_
	DP dependence. More...

const std::vector< Double_t >	fracCoeffs_
	Polynomial used to scale fraction. More...

DPAxis	dpAxis_
	The DP axis we depend on. More...

std::vector< Double_t >	fractions_
	Cached values of fractions. More...

Detailed Description

Class for defining a PDF that is the DP-dependent sum of two other PDFs.

Class for defining a PDF that is the sum of two other PDFs, where the relative fraction of the two PDFs depends on the Dalitz-plot position.

Definition at line 34 of file LauDPDepSumPdf.hh.

Member Enumeration Documentation

enum LauDPDepSumPdf::DPAxis

Define possibilties for the DP axes.

Enumerator
M12	dependence is on m^2_12
M13	dependence is on m^2_13
M23	dependence is on m^2_23
CentreDist	dependence is on the distance from the DP centre
MMIN	dependence is on the minimum of m^2_13 and m^2_23
MMAX	dependence is on the maximum of m^2_13 and m^2_23

Definition at line 38 of file LauDPDepSumPdf.hh.

Constructor & Destructor Documentation

LauDPDepSumPdf::LauDPDepSumPdf	(	LauAbsPdf *	pdf1,
		LauAbsPdf *	pdf2,
		const LauDaughters *	daughters,
		const TH2 *	dpHisto,
		Bool_t	upperHalf = `kFALSE`,
		Bool_t	useSpline = `kFALSE`
	)

Constructor - fraction determined by 2D histogram.

Parameters

[in]	pdf1	the first PDF
[in]	pdf2	the second PDF
[in]	daughters	the daughter particles
[in]	dpHisto	the 2D histogram
[in]	upperHalf	specifies whether only upper half of DP is supplied in the case of a symmetric DP
[in]	useSpline	specifies whether a spline is used to interpolate the histogram

Definition at line 34 of file LauDPDepSumPdf.cc.

LauDPDepSumPdf::LauDPDepSumPdf	(	LauAbsPdf *	pdf1,
		LauAbsPdf *	pdf2,
		LauParameter *	frac,
		const LauDaughters *	daughters,
		const std::vector< Double_t > &	fracCoeffs,
		DPAxis	dpAxis
	)

Constructor - fraction determined by a polynomial of a DP "axis".

Parameters

[in]	pdf1	the first PDF
[in]	pdf2	the second PDF
[in]	frac	the fractional contribution of the first PDF to the final PDF
[in]	daughters	the daughter particles
[in]	fracCoeffs	the coefficients of the DP dependence of the PDF fraction
[in]	dpAxis	the DP axis that defines the parameter dependence

Definition at line 106 of file LauDPDepSumPdf.cc.

LauDPDepSumPdf::~LauDPDepSumPdf ( )

virtual

Destructor.

Definition at line 188 of file LauDPDepSumPdf.cc.

LauDPDepSumPdf::LauDPDepSumPdf ( const LauDPDepSumPdf & other )

private

Copy constructor - not implemented.

Member Function Documentation

void LauDPDepSumPdf::cacheInfo ( const LauFitDataTree & inputData )

virtual

Cache information from data.

Parameters

[in] inputData the input data

Reimplemented from LauAbsPdf.

Definition at line 344 of file LauDPDepSumPdf.cc.

void LauDPDepSumPdf::calcLikelihoodInfo ( const LauAbscissas & abscissas )

virtual

Calculate the likelihood (and intermediate info) for a given abscissa.

Parameters

[in] abscissas the values of the abscissa(s)

Implements LauAbsPdf.

Definition at line 211 of file LauDPDepSumPdf.cc.

void LauDPDepSumPdf::calcLikelihoodInfo ( UInt_t iEvt )

virtual

Calculate the likelihood (and intermediate info) for a given event number.

Parameters

[in] iEvt event number

Reimplemented from LauAbsPdf.

Definition at line 414 of file LauDPDepSumPdf.cc.

void LauDPDepSumPdf::calcNorm ( )

virtual

Calculate the normalisation.

Reimplemented from LauAbsPdf.

Definition at line 281 of file LauDPDepSumPdf.cc.

void LauDPDepSumPdf::calcPDFHeight ( const LauKinematics * kinematics )

virtual

Calculate the PDF height.

Parameters

[in] kinematics the current DP kinematics

Implements LauAbsPdf.

Definition at line 287 of file LauDPDepSumPdf.cc.

virtual Bool_t LauDPDepSumPdf::isDPDependent ( ) const

inlinevirtual

Copy constructor.

Specifies whether or not the PDF is DP dependent.

Returns: true if the PDF is DP-dependent (the default)

Reimplemented from LauAbsPdf.

Definition at line 86 of file LauDPDepSumPdf.hh.

void LauDPDepSumPdf::scaleFrac ( Double_t dpPos )

protected

Scale fraction according to DP position.

Parameters

[in] dpPos the DP position

Definition at line 271 of file LauDPDepSumPdf.cc.

Member Data Documentation

LauDaughters* LauDPDepSumPdf::daughters_

private

Daughter particles.

Definition at line 127 of file LauDPDepSumPdf.hh.

DPAxis LauDPDepSumPdf::dpAxis_

private

The DP axis we depend on.

Definition at line 145 of file LauDPDepSumPdf.hh.

LauEffModel* LauDPDepSumPdf::dpDependence_

private

DP dependence.

Definition at line 139 of file LauDPDepSumPdf.hh.

LauAbsRValue* LauDPDepSumPdf::frac_

private

Fractional contribution of first PDF to the final PDF.

Definition at line 135 of file LauDPDepSumPdf.hh.

const std::vector<Double_t> LauDPDepSumPdf::fracCoeffs_

private

Polynomial used to scale fraction.

Definition at line 142 of file LauDPDepSumPdf.hh.

std::vector<Double_t> LauDPDepSumPdf::fractions_

private

Cached values of fractions.

Definition at line 148 of file LauDPDepSumPdf.hh.

Double_t LauDPDepSumPdf::fracVal_

private

Fractional contribution of first PDF to the final PDF.

Definition at line 137 of file LauDPDepSumPdf.hh.

LauAbsPdf* LauDPDepSumPdf::pdf1_

private

First PDF.

Definition at line 130 of file LauDPDepSumPdf.hh.

LauAbsPdf* LauDPDepSumPdf::pdf2_

private

Second PDF.

Definition at line 132 of file LauDPDepSumPdf.hh.

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

inc/LauDPDepSumPdf.hh
src/LauDPDepSumPdf.cc

Public Types

Public Member Functions

Protected Member Functions

Private Member Functions

Private Attributes

Detailed Description

Member Enumeration Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation