Database object used to store the parameters for KLM likelihood computation. More...

#include <KLMLikelihoodParameters.h>

Inheritance diagram for KLMLikelihoodParameters:

Collaboration diagram for KLMLikelihoodParameters:

[legend]

Public Member Functions
	KLMLikelihoodParameters ()
	Constructor.

	~KLMLikelihoodParameters ()
	Destructor.

void	setLongitudinalPDF (int hypothesis, int outcome, int lastLayer, const std::vector< double > &params)
	Set the longitudinal probability density function for specific hypothesis, outcome and last layer. More...

void	setTransversePDF (int hypothesis, int detector, int degreesOfFreedom, const std::vector< double > &params)
	Set the transverse probability density function for specific hypothesis, detector and degrees of freedom. More...

void	setTransverseThreshold (int hypothesis, int detector, int degreesOfFreedom, const double threshold)
	Set the transverse probability density function (analytical): threshold for specific hypothesis, detector and degrees of freedom. More...

void	setTransverseScaleX (int hypothesis, int detector, int degreesOfFreedom, const double scaleX)
	Set the transverse probability density function (analytical): horizontal scale for specific hypothesis, detector and degrees of freedom. More...

void	setTransverseScaleY (int hypothesis, int detector, int degreesOfFreedom, const double scaleY)
	Set the transverse probability density function (analytical): vertical scale for specific hypothesis, detector and degrees of freedom. More...

const std::vector< double > &	getLongitudinalPDF (int hypothesis, int outcome, int lastLayer) const
	Get the longitudinal probability density function for specific hypothesis, outcome and last layer. More...

const std::vector< double > &	getTransversePDF (int hypothesis, int detector, int degreesOfFreedom) const
	Get the transverse probability density function for specific hypothesis, detector and degrees of freedom. More...

double	getTransverseThreshold (int hypothesis, int detector, int degreesOfFreedom) const
	Get the transverse probability density function (analytical): threshold for specific hypothesis, detector and degrees of freedom. More...

double	getTransverseScaleX (int hypothesis, int detector, int degreesOfFreedom) const
	Get the transverse probability density function (analytical): horizontal scale for specific hypothesis, detector and degrees of freedom. More...

double	getTransverseScaleY (int hypothesis, int detector, int degreesOfFreedom) const
	Get the transverse probability density function (analytical): vertical scale for specific hypothesis, detector and degrees of freedom. More...

Private Member Functions
void	setLongitudinalPDF (const int id, const std::vector< double > &params)
	Set the longitudinal probability density function for a given identifier. More...

void	setTransversePDF (const int id, const std::vector< double > &params)
	Set the transverse probability density function for a given identifier. More...

void	setTransverseThreshold (const int id, const double threshold)
	Set the transverse probability density function (analytical): threshold for a given identifier. More...

void	setTransverseScaleX (const int id, const double scaleX)
	Set the transverse probability density function (analytical): horizontal scale for a given identifier. More...

void	setTransverseScaleY (const int id, const double scaleY)
	Set the transverse probability density function (analytical): vertical scale for a given identifier. More...

const std::vector< double > &	getLongitudinalPDF (const int id) const
	Get the longitudinal probability density function for a given identifier. More...

const std::vector< double > &	getTransversePDF (const int id) const
	Get the transverse probability density function for a given identifier. More...

double	getTransverseThreshold (const int id) const
	Get the transverse probability density function (analytical): threshold for a given identifier. More...

double	getTransverseScaleX (const int id) const
	Get the transverse probability density function (analytical): horizontal scale for a given identifier. More...

double	getTransverseScaleY (const int id) const
	Get the transverse probability density function (analytical): vertical scale for a given identifier. More...

	ClassDef (KLMLikelihoodParameters, 1)
	Class version.

Private Attributes
std::map< int, std::vector< double > >	m_LongitudinalPDF
	Longitudinal probability density function.

std::map< int, std::vector< double > >	m_TransversePDF
	Transverse probability density function.

std::map< int, double >	m_TransverseThreshold
	Transverse probability density function (analytical): threshold.

std::map< int, double >	m_TransverseScaleX
	Transverse probability density function (analytical): horizontal scale.

std::map< int, double >	m_TransverseScaleY
	Transverse probability density function (analytical): vertical scale.

Detailed Description

Database object used to store the parameters for KLM likelihood computation.

Definition at line 38 of file KLMLikelihoodParameters.h.

Member Function Documentation

◆ getLongitudinalPDF() [1/2]

const std::vector< double > & getLongitudinalPDF ( const int id ) const

private

Get the longitudinal probability density function for a given identifier.

Parameters

[in] id Longitudinal identifier.

Definition at line 19 of file KLMLikelihoodParameters.cc.

 {
   std::map<int, std::vector<double>>::const_iterator it = m_LongitudinalPDF.find(id);
   if (it != m_LongitudinalPDF.end()) {
     return it->second;
   } else {
     B2FATAL("Longitudinal for KLMLikelihoodParameters not found!");
   }
 }

◆ getLongitudinalPDF() [2/2]

const std::vector<double>& getLongitudinalPDF	(	int	hypothesis,
		int	outcome,
		int	lastLayer
	)		const

inline

Get the longitudinal probability density function for specific hypothesis, outcome and last layer.

Parameters

[in]	hypothesis	Hypothesis number.
[in]	outcome	Track extrapolation outcome.
[in]	lastLayer	Last layer crossed during the extrapolation.

Definition at line 127 of file KLMLikelihoodParameters.h.

132 {

◆ getTransversePDF() [1/2]

const std::vector< double > & getTransversePDF ( const int id ) const

private

Get the transverse probability density function for a given identifier.

Parameters

[in] id Transverse identifier.

Definition at line 29 of file KLMLikelihoodParameters.cc.

◆ getTransversePDF() [2/2]

const std::vector<double>& getTransversePDF	(	int	hypothesis,
		int	detector,
		int	degreesOfFreedom
	)		const

inline

Get the transverse probability density function for specific hypothesis, detector and degrees of freedom.

Parameters

[in]	hypothesis	Hypothesis number.
[in]	detector	Detector number.
[in]	degreesOfFreedom	Number of degrees of freedom.

Definition at line 139 of file KLMLikelihoodParameters.h.

◆ getTransverseScaleX() [1/2]

double getTransverseScaleX ( const int id ) const

private

Get the transverse probability density function (analytical): horizontal scale for a given identifier.

Parameters

[in] id Transverse identifier.

Definition at line 49 of file KLMLikelihoodParameters.cc.

◆ getTransverseScaleX() [2/2]

double getTransverseScaleX	(	int	hypothesis,
		int	detector,
		int	degreesOfFreedom
	)		const

inline

Get the transverse probability density function (analytical): horizontal scale for specific hypothesis, detector and degrees of freedom.

Parameters

[in]	hypothesis	Hypothesis number.
[in]	detector	Detector number.
[in]	degreesOfFreedom	Number of degrees of freedom.

Definition at line 163 of file KLMLikelihoodParameters.h.

◆ getTransverseScaleY() [1/2]

double getTransverseScaleY ( const int id ) const

private

Get the transverse probability density function (analytical): vertical scale for a given identifier.

Parameters

[in] id Transverse identifier.

Definition at line 59 of file KLMLikelihoodParameters.cc.

◆ getTransverseScaleY() [2/2]

double getTransverseScaleY	(	int	hypothesis,
		int	detector,
		int	degreesOfFreedom
	)		const

inline

Get the transverse probability density function (analytical): vertical scale for specific hypothesis, detector and degrees of freedom.

Parameters

[in]	hypothesis	Hypothesis number.
[in]	detector	Detector number.
[in]	degreesOfFreedom	Number of degrees of freedom.

Definition at line 175 of file KLMLikelihoodParameters.h.

◆ getTransverseThreshold() [1/2]

double getTransverseThreshold ( const int id ) const

private

Get the transverse probability density function (analytical): threshold for a given identifier.

Parameters

[in] id Transverse identifier.

Definition at line 39 of file KLMLikelihoodParameters.cc.

◆ getTransverseThreshold() [2/2]

double getTransverseThreshold	(	int	hypothesis,
		int	detector,
		int	degreesOfFreedom
	)		const

inline

Get the transverse probability density function (analytical): threshold for specific hypothesis, detector and degrees of freedom.

Parameters

[in]	hypothesis	Hypothesis number.
[in]	detector	Detector number.
[in]	degreesOfFreedom	Number of degrees of freedom.

Definition at line 151 of file KLMLikelihoodParameters.h.

◆ setLongitudinalPDF() [1/2]

void setLongitudinalPDF	(	const int	id,
		const std::vector< double > &	params
	)

inlineprivate

Set the longitudinal probability density function for a given identifier.

Parameters

[in]	id	Longitudinal identifier.
[in]	params	Likelihood parameters.

Definition at line 188 of file KLMLikelihoodParameters.h.

◆ setLongitudinalPDF() [2/2]

void setLongitudinalPDF	(	int	hypothesis,
		int	outcome,
		int	lastLayer,
		const std::vector< double > &	params
	)

inline

Set the longitudinal probability density function for specific hypothesis, outcome and last layer.

Parameters

[in]	hypothesis	Hypothesis number.
[in]	outcome	Track extrapolation outcome.
[in]	lastLayer	Last layer crossed during the extrapolation.
[in]	params	Likelihood parameters.

Definition at line 63 of file KLMLikelihoodParameters.h.

◆ setTransversePDF() [1/2]

void setTransversePDF	(	const int	id,
		const std::vector< double > &	params
	)

inlineprivate

Set the transverse probability density function for a given identifier.

Parameters

[in]	id	Transverse identifier.
[in]	params	Likelihood parameters.

Definition at line 198 of file KLMLikelihoodParameters.h.

◆ setTransversePDF() [2/2]

void setTransversePDF	(	int	hypothesis,
		int	detector,
		int	degreesOfFreedom,
		const std::vector< double > &	params
	)

inline

Set the transverse probability density function for specific hypothesis, detector and degrees of freedom.

Parameters

[in]	hypothesis	Hypothesis number.
[in]	detector	Detector number.
[in]	degreesOfFreedom	Number of degrees of freedom.
[in]	params	Likelihood parameters.

Definition at line 76 of file KLMLikelihoodParameters.h.

◆ setTransverseScaleX() [1/2]

void setTransverseScaleX	(	const int	id,
		const double	scaleX
	)

inlineprivate

Set the transverse probability density function (analytical): horizontal scale for a given identifier.

Parameters

[in]	id	Transverse identifier.
[in]	scaleX	Horizontal scale.

Definition at line 218 of file KLMLikelihoodParameters.h.

◆ setTransverseScaleX() [2/2]

void setTransverseScaleX	(	int	hypothesis,
		int	detector,
		int	degreesOfFreedom,
		const double	scaleX
	)

inline

Set the transverse probability density function (analytical): horizontal scale for specific hypothesis, detector and degrees of freedom.

Parameters

[in]	hypothesis	Hypothesis number.
[in]	detector	Detector number.
[in]	degreesOfFreedom	Number of degrees of freedom.
[in]	scaleX	Horizontal scale.

Definition at line 102 of file KLMLikelihoodParameters.h.

◆ setTransverseScaleY() [1/2]

void setTransverseScaleY	(	const int	id,
		const double	scaleY
	)

inlineprivate

Set the transverse probability density function (analytical): vertical scale for a given identifier.

Parameters

[in]	id	Transverse identifier.
[in]	scaleY	Vertical scale.

Definition at line 228 of file KLMLikelihoodParameters.h.

◆ setTransverseScaleY() [2/2]

void setTransverseScaleY	(	int	hypothesis,
		int	detector,
		int	degreesOfFreedom,
		const double	scaleY
	)

inline

Set the transverse probability density function (analytical): vertical scale for specific hypothesis, detector and degrees of freedom.

Parameters

[in]	hypothesis	Hypothesis number.
[in]	detector	Detector number.
[in]	degreesOfFreedom	Number of degrees of freedom.
[in]	scaleY	Vertical scale.

Definition at line 115 of file KLMLikelihoodParameters.h.

◆ setTransverseThreshold() [1/2]

void setTransverseThreshold	(	const int	id,
		const double	threshold
	)

inlineprivate

Set the transverse probability density function (analytical): threshold for a given identifier.

Parameters

[in]	id	Transverse identifier.
[in]	threshold	Transverse threshold.

Definition at line 208 of file KLMLikelihoodParameters.h.

◆ setTransverseThreshold() [2/2]

void setTransverseThreshold	(	int	hypothesis,
		int	detector,
		int	degreesOfFreedom,
		const double	threshold
	)

inline

Set the transverse probability density function (analytical): threshold for specific hypothesis, detector and degrees of freedom.

Parameters

[in]	hypothesis	Hypothesis number.
[in]	detector	Detector number.
[in]	degreesOfFreedom	Number of degrees of freedom.
[in]	threshold	Transverse threshold.

Definition at line 89 of file KLMLikelihoodParameters.h.

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

klm/dbobjects/include/KLMLikelihoodParameters.h
klm/dbobjects/src/KLMLikelihoodParameters.cc

Public Member Functions

Private Member Functions

Private Attributes

Detailed Description

Member Function Documentation

◆ getLongitudinalPDF() [1/2]

◆ getLongitudinalPDF() [2/2]

◆ getTransversePDF() [1/2]

◆ getTransversePDF() [2/2]

◆ getTransverseScaleX() [1/2]

◆ getTransverseScaleX() [2/2]

◆ getTransverseScaleY() [1/2]

◆ getTransverseScaleY() [2/2]

◆ getTransverseThreshold() [1/2]

◆ getTransverseThreshold() [2/2]

◆ setLongitudinalPDF() [1/2]

◆ setLongitudinalPDF() [2/2]

◆ setTransversePDF() [1/2]

◆ setTransversePDF() [2/2]

◆ setTransverseScaleX() [1/2]

◆ setTransverseScaleX() [2/2]

◆ setTransverseScaleY() [1/2]

◆ setTransverseScaleY() [2/2]

◆ setTransverseThreshold() [1/2]

◆ setTransverseThreshold() [2/2]