Data (block) for independent scalar measurement. More...

#include <GblData.h>

Public Member Functions
	GblData (unsigned int aLabel, dataBlockType aType, double aValue, double aPrec, unsigned int aTraj=0, unsigned int aPoint=0, unsigned int aMeas=0)
	Create data block. More...

	GblData (const GblData &)=default

GblData &	operator= (const GblData &)=default

	GblData (GblData &&)=default

GblData &	operator= (GblData &&)=default

virtual	~GblData ()

template<typename LocalDerivative , typename ExtDerivative >
void	addDerivatives (unsigned int iRow, const std::array< unsigned int, 5 > &labDer, const Matrix5d &matDer, unsigned int iOff, const Eigen::MatrixBase< LocalDerivative > &derLocal, unsigned int extOff, const Eigen::MatrixBase< ExtDerivative > &extDer)
	Add derivatives from measurement. More...

template<typename ExtDerivative >
void	addDerivatives (unsigned int iRow, unsigned int nDer, const std::array< unsigned int, 9 > &labDer, const Matrix49d &matDer, unsigned int extOff, const Eigen::MatrixBase< ExtDerivative > &extDer)
	Add derivatives from kink. More...

void	addDerivatives (const std::vector< unsigned int > &index, const std::vector< double > &derivatives)
	Add derivatives from external seed. More...

void	setPrediction (const VVector &aVector)
	Calculate prediction for data from fit (by GblTrajectory::fit). More...

double	setDownWeighting (unsigned int aMethod)
	Outlier down weighting with M-estimators (by GblTrajectory::fit). More...

double	getChi2 () const
	Calculate Chi2 contribution. More...

void	printData () const
	Print data block. More...

unsigned int	getLabel () const
	Get label. More...

dataBlockType	getType () const
	Get type. More...

void	getLocalData (double &aValue, double &aWeight, unsigned int &numLocal, unsigned int &indLocal, double &derLocal)
	Get Data for local fit. More...

void	getAllData (double &aValue, double &aErr, unsigned int &numLocal, unsigned int &indLocal, double &derLocal, unsigned int &aTraj, unsigned int &aPoint, unsigned int &aMeas, unsigned int &aRow)
	Get all Data for MP-II binary record. More...

void	getResidual (double &aResidual, double &aVariance, double &aDownWeight, unsigned int &numLocal, unsigned int &indLocal, double &derLocal)
	Get data for residual (and errors) "long list". More...

void	getResidual (double &aResidual, double &aVariance)
	Get data for residual (and errors) "short list". More...

Private Attributes
unsigned int	theLabel
	Label (of corresponding point) More...

unsigned int	theRow
	Row number (of measurement) More...

dataBlockType	theType
	Type (None, InternalMeasurement, InternalKink, ExternalSeed, ExternalMeasurement) More...

double	theValue
	Value (residual) More...

double	thePrecision
	Precision (1/sigma**2) More...

unsigned int	theTrajectory
	Trajectory number. More...

unsigned int	thePoint
	Point number (on trajectory) More...

unsigned int	theMeas
	Measurement number (at point) More...

unsigned int	theDWMethod
	Down-weighting method (0: None, 1: Tukey, 2: Huber, 3: Cauchy) More...

double	theDownWeight
	Down-weighting factor (0-1) More...

double	thePrediction
	Prediction from fit. More...

unsigned int	theNumLocal
	Number of (non zero) local derivatives (max 9 for kinks+steps) More...

unsigned int	theParameters [9]
	List of parameters (with non zero derivatives) More...

double	theDerivatives [9]
	List of derivatives for fit. More...

std::vector< unsigned int >	moreParameters
	List of fit parameters (with non zero derivatives) More...

std::vector< double >	moreDerivatives
	List of derivatives for fit. More...

Detailed Description

Data (block) for independent scalar measurement.

Data (block) containing value, precision and derivatives for measurements, kinks and seeds. Created from attributes of GblPoints, used to construct linear equation system for track fit.

Definition at line 58 of file GblData.h.

Constructor & Destructor Documentation

◆ GblData() [1/3]

gbl::GblData::GblData	(	unsigned int	aLabel,
		dataBlockType	aType,
		double	aValue,
		double	aPrec,
		unsigned int	aTraj = `0`,
		unsigned int	aPoint = `0`,
		unsigned int	aMeas = `0`
	)

Create data block.

Parameters

[in]	aLabel	Label of corresponding point
[in]	aType	Type of (scalar) measurement
[in]	aValue	Value of (scalar) measurement
[in]	aPrec	Precision of (scalar) measurement
[in]	aTraj	Trajectory number
[in]	aPoint	Point number
[in]	aMeas	measurement number

Definition at line 46 of file GblData.cpp.

◆ GblData() [2/3]

gbl::GblData::GblData ( const GblData & )

default

◆ GblData() [3/3]

gbl::GblData::GblData ( GblData && )

default

◆ ~GblData()

gbl::GblData::~GblData ( )

virtual

Definition at line 55 of file GblData.cpp.

Member Function Documentation

◆ addDerivatives() [1/3]

void gbl::GblData::addDerivatives	(	const std::vector< unsigned int > &	index,
		const std::vector< double > &	derivatives
	)

Add derivatives from external seed.

Add (non-zero) derivatives to data block. Fill list of labels of used fit parameters.

Parameters

[in]	index	Labels for derivatives
[in]	derivatives	Derivatives (vector)

Definition at line 64 of file GblData.cpp.

References moreDerivatives, and moreParameters.

◆ addDerivatives() [2/3]

template<typename LocalDerivative , typename ExtDerivative >

void gbl::GblData::addDerivatives	(	unsigned int	iRow,
		const std::array< unsigned int, 5 > &	labDer,
		const Matrix5d &	matDer,
		unsigned int	iOff,
		const Eigen::MatrixBase< LocalDerivative > &	derLocal,
		unsigned int	extOff,
		const Eigen::MatrixBase< ExtDerivative > &	extDer
	)

Add derivatives from measurement.

Add (non-zero) derivatives to data block. Fill list of labels of used fit parameters.

Template Parameters

LocalDerivative	Local derivatives matrix
ExtDerivative	External derivatives matrix

Parameters

[in]	iRow	Row index (0-4) in up to 5D measurement
[in]	labDer	Labels for derivatives
[in]	matDer	Derivatives (matrix) 'measurement vs track fit parameters'
[in]	iOff	Offset for row index for additional parameters
[in]	derLocal	Derivatives (matrix) for additional local parameters
[in]	extOff	Offset for external parameters
[in]	extDer	Derivatives for external Parameters

Definition at line 147 of file GblData.h.

References moreDerivatives, moreParameters, theDerivatives, theNumLocal, theParameters, and theRow.

Referenced by gbl::GblTrajectory::prepare().

◆ addDerivatives() [3/3]

template<typename ExtDerivative >

void gbl::GblData::addDerivatives	(	unsigned int	iRow,
		unsigned int	nDer,
		const std::array< unsigned int, 9 > &	labDer,
		const Matrix49d &	matDer,
		unsigned int	extOff,
		const Eigen::MatrixBase< ExtDerivative > &	extDer
	)

Add derivatives from kink.

Add (non-zero) derivatives to data block. Fill list of labels of used fit parameters.

Template Parameters

ExtDerivative External derivatives matrix

Parameters

[in]	iRow	Row index (0-3) in 2D kinks and steps
[in]	nDer	Number of derivatives (7: kinks, 9: kinks+steps)
[in]	labDer	Labels for derivatives
[in]	matDer	Derivatives (matrix) 'kinks+steps vs track fit parameters'
[in]	extOff	Offset for external parameters
[in]	extDer	Derivatives for external Parameters

Definition at line 213 of file GblData.h.

References moreDerivatives, moreParameters, theDerivatives, theNumLocal, theParameters, and theRow.

◆ getAllData()

void gbl::GblData::getAllData	(	double &	aValue,
		double &	aErr,
		unsigned int &	numLocal,
		unsigned int *&	indLocal,
		double *&	derLocal,
		unsigned int &	aTraj,
		unsigned int &	aPoint,
		unsigned int &	aMeas,
		unsigned int &	aRow
	)

Get all Data for MP-II binary record.

Parameters

[out]	aValue	Value
[out]	aErr	Error
[out]	numLocal	Number of local labels/derivatives
[out]	indLocal	Array of labels of used (local) fit parameters
[out]	derLocal	Array of derivatives for used (local) fit parameters
[out]	aTraj	Trajectory number
[out]	aPoint	Point number
[out]	aMeas	Measurements number
[out]	aRow	Row number

Definition at line 233 of file GblData.cpp.

References moreDerivatives, moreParameters, theDerivatives, theMeas, theNumLocal, theParameters, thePoint, thePrecision, theRow, theTrajectory, and theValue.

◆ getChi2()

double gbl::GblData::getChi2 ( ) const

Calculate Chi2 contribution.

For down-weighting with M-estimators the corresponding objective function is used.

Returns: (down-weighted) Chi2

Definition at line 127 of file GblData.cpp.

References theDWMethod, thePrecision, thePrediction, and theValue.

◆ getLabel()

unsigned int gbl::GblData::getLabel ( ) const

Get label.

Returns: label of corresponding point

Definition at line 185 of file GblData.cpp.

References theLabel.

◆ getLocalData()

void gbl::GblData::getLocalData	(	double &	aValue,
		double &	aWeight,
		unsigned int &	numLocal,
		unsigned int *&	indLocal,
		double *&	derLocal
	)

Get Data for local fit.

Parameters

[out]	aValue	Value
[out]	aWeight	Weight
[out]	numLocal	Number of local labels/derivatives
[out]	indLocal	Array of labels of used (local) fit parameters
[out]	derLocal	Array of derivatives for used (local) fit parameters

Definition at line 205 of file GblData.cpp.

References moreDerivatives, moreParameters, theDerivatives, theDownWeight, theNumLocal, theParameters, thePrecision, and theValue.

◆ getResidual() [1/2]

void gbl::GblData::getResidual	(	double &	aResidual,
		double &	aVariance
	)

Get data for residual (and errors) "short list".

Parameters

[out]	aResidual	Measurement-Prediction
[out]	aVariance	Variance (of measurement)

Definition at line 284 of file GblData.cpp.

References thePrecision, thePrediction, and theValue.

◆ getResidual() [2/2]

void gbl::GblData::getResidual	(	double &	aResidual,
		double &	aVariance,
		double &	aDownWeight,
		unsigned int &	numLocal,
		unsigned int *&	indLocal,
		double *&	derLocal
	)

Get data for residual (and errors) "long list".

Parameters

[out]	aResidual	Measurement-Prediction
[out]	aVariance	Variance (of measurement)
[out]	aDownWeight	Down-weighting factor
[out]	numLocal	Number of local labels/derivatives
[out]	indLocal	Array of labels of used (local) fit parameters
[out]	derLocal	Array of derivatives for used (local) fit parameters

Definition at line 262 of file GblData.cpp.

References moreDerivatives, moreParameters, theDerivatives, theDownWeight, theNumLocal, theParameters, thePrecision, thePrediction, and theValue.

◆ getType()

dataBlockType gbl::GblData::getType ( ) const

Get type.

Returns: type

Definition at line 193 of file GblData.cpp.

References theType.

◆ operator=() [1/2]

GblData & gbl::GblData::operator= ( const GblData & )

default

◆ operator=() [2/2]

GblData & gbl::GblData::operator= ( GblData && )

default

◆ printData()

void gbl::GblData::printData ( ) const

Print data block.

Definition at line 152 of file GblData.cpp.

References gbl::InternalMeasurement, moreDerivatives, moreParameters, theDerivatives, theLabel, theMeas, theNumLocal, theParameters, thePrecision, theRow, theType, and theValue.

◆ setDownWeighting()

double gbl::GblData::setDownWeighting ( unsigned int aMethod )

Outlier down weighting with M-estimators (by GblTrajectory::fit).

Parameters

[in] aMethod M-estimator (1: Tukey, 2:Huber, 3:Cauchy)

Definition at line 95 of file GblData.cpp.

References theDownWeight, theDWMethod, thePrecision, thePrediction, and theValue.

◆ setPrediction()

void gbl::GblData::setPrediction ( const VVector & aVector )

Calculate prediction for data from fit (by GblTrajectory::fit).

Definition at line 76 of file GblData.cpp.

References moreDerivatives, moreParameters, theDerivatives, theNumLocal, theParameters, and thePrediction.

Member Data Documentation

◆ moreDerivatives

std::vector<double> gbl::GblData::moreDerivatives

private

List of derivatives for fit.

Definition at line 143 of file GblData.h.

Referenced by addDerivatives(), getAllData(), getLocalData(), getResidual(), printData(), and setPrediction().

◆ moreParameters

std::vector<unsigned int> gbl::GblData::moreParameters

private

List of fit parameters (with non zero derivatives)

Definition at line 142 of file GblData.h.

Referenced by addDerivatives(), getAllData(), getLocalData(), getResidual(), printData(), and setPrediction().

◆ theDerivatives

double gbl::GblData::theDerivatives[9]

private

List of derivatives for fit.

Definition at line 140 of file GblData.h.

Referenced by addDerivatives(), getAllData(), getLocalData(), getResidual(), printData(), and setPrediction().

◆ theDownWeight

double gbl::GblData::theDownWeight

private

Down-weighting factor (0-1)

Definition at line 135 of file GblData.h.

Referenced by getLocalData(), getResidual(), and setDownWeighting().

◆ theDWMethod

unsigned int gbl::GblData::theDWMethod

private

Down-weighting method (0: None, 1: Tukey, 2: Huber, 3: Cauchy)

Definition at line 134 of file GblData.h.

Referenced by getChi2(), and setDownWeighting().

◆ theLabel

unsigned int gbl::GblData::theLabel

private

Label (of corresponding point)

Definition at line 126 of file GblData.h.

Referenced by getLabel(), and printData().

◆ theMeas

unsigned int gbl::GblData::theMeas

private

Measurement number (at point)

Definition at line 133 of file GblData.h.

Referenced by getAllData(), and printData().

◆ theNumLocal

unsigned int gbl::GblData::theNumLocal

private

Number of (non zero) local derivatives (max 9 for kinks+steps)

Definition at line 138 of file GblData.h.

Referenced by addDerivatives(), getAllData(), getLocalData(), getResidual(), printData(), and setPrediction().

◆ theParameters

unsigned int gbl::GblData::theParameters[9]

private

List of parameters (with non zero derivatives)

Definition at line 139 of file GblData.h.

Referenced by addDerivatives(), getAllData(), getLocalData(), getResidual(), printData(), and setPrediction().

◆ thePoint

unsigned int gbl::GblData::thePoint

private

Point number (on trajectory)

Definition at line 132 of file GblData.h.

Referenced by getAllData().

◆ thePrecision

double gbl::GblData::thePrecision

private

Precision (1/sigma**2)

Definition at line 130 of file GblData.h.

Referenced by getAllData(), getChi2(), getLocalData(), getResidual(), printData(), and setDownWeighting().

◆ thePrediction

double gbl::GblData::thePrediction

private

Prediction from fit.

Definition at line 136 of file GblData.h.

Referenced by getChi2(), getResidual(), setDownWeighting(), and setPrediction().

◆ theRow

unsigned int gbl::GblData::theRow

private

Row number (of measurement)

Definition at line 127 of file GblData.h.

Referenced by addDerivatives(), getAllData(), and printData().

◆ theTrajectory

unsigned int gbl::GblData::theTrajectory

private

Trajectory number.

Definition at line 131 of file GblData.h.

Referenced by getAllData().

◆ theType

dataBlockType gbl::GblData::theType

private

Type (None, InternalMeasurement, InternalKink, ExternalSeed, ExternalMeasurement)

Definition at line 128 of file GblData.h.

Referenced by getType(), and printData().

◆ theValue

double gbl::GblData::theValue

private

Value (residual)

Definition at line 129 of file GblData.h.

Referenced by getAllData(), getChi2(), getLocalData(), getResidual(), printData(), and setDownWeighting().

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

src/GblData.h
src/GblData.cpp

Public Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ GblData() [1/3]

◆ GblData() [2/3]

◆ GblData() [3/3]

◆ ~GblData()

Member Function Documentation

◆ addDerivatives() [1/3]

◆ addDerivatives() [2/3]

◆ addDerivatives() [3/3]

◆ getAllData()

◆ getChi2()

◆ getLabel()

◆ getLocalData()

◆ getResidual() [1/2]

◆ getResidual() [2/2]

◆ getType()

◆ operator=() [1/2]

◆ operator=() [2/2]

◆ printData()

◆ setDownWeighting()

◆ setPrediction()

Member Data Documentation

◆ moreDerivatives

◆ moreParameters

◆ theDerivatives

◆ theDownWeight

◆ theDWMethod

◆ theLabel

◆ theMeas

◆ theNumLocal

◆ theParameters

◆ thePoint

◆ thePrecision

◆ thePrediction

◆ theRow

◆ theTrajectory

◆ theType

◆ theValue