Description of the class TDistanceFunction. More...

#include <TDistanceFunction.h>

Inheritance diagram for URANIE::Calibration::TDistanceFunction:

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Collaboration diagram for URANIE::Calibration::TDistanceFunction:

Public Member Functions
Constructor and Destructor
	TDistanceFunction (URANIE::DataServer::TDataServer tdsEval, URANIE::DataServer::TDataServer tdsObs, const char reference, const char output, const char *weight="")
	Standard constructor.

virtual	~TDistanceFunction ()
	Default destructor.

Initialisation and evaluation
void	fillInOutAtt (URANIE::DataServer::TDataServer *tdsPar)
	Internal initialisation method.

void	initParameters (URANIE::DataServer::TDataServer tdsPar, URANIE::Relauncher::TRun run)

void	initParameters (URANIE::DataServer::TDataServer tdsPar, const char funcName, const char varexpinput, const char varexpoutput)

void	initParameters (URANIE::DataServer::TDataServer tdsPar, void(fcn)(Double_t , Double_t ), const char varexpinput, const char varexpoutput)

void	initParameters (URANIE::DataServer::TDataServer tdsPar, URANIE::Launcher::TCode Code)

Int_t	eval (Double_t theta, Double_t res, int=0)
	Official method inherited from TSimpleEval, it is the main method of a DF It calls three methods in a row : runConfiguration, getData and localeval.

void	runConfiguration (double *theta)
	Runs the code provided on the reference input to get estimations.

Get and Set methods
vector< vector< double > >	getObservationVector ()
	Return the observation vector of vector.

TMatrixD	getObservationMatrix ()
	Return the observation matrix.

void	setSaveAllEvaluations (bool value)
	Choose whether every evaluations should be kept (might slown down the process)

void	changeLauncher (TString tlcName)
	Change the code launcher.

void	changeCodeLauncherOpt (TString opt)
	Change the option of the code launcher.

void	dumpAllDataservers ()

void	keepParametersValue ()

void	dumpDetails ()

void	addCodeLauncherOpt (TString opt)
	add options to the already of the code launcher

void	setUseMatrix (bool value)
	Choose whether vector of vector or matrix should be used in the distance function localeval method.

void	setVarWeights (int nwei, double *wei)
	Set a weight to ponderate variable when _nVar >1.

void	setVarWeights (vector< double > wei)
	Set a weight to ponderate variable when _nVar >1.

void	setObservationCovarianceMatrix (TMatrixD &mat)
	set the observatiton covariance matrix

bool	getSaveAllEvaluation ()
	Check the value of the saveAll option.

bool	getUseMatrix ()
	Check the value of the useMatrix option.

void	setGaussianRandomNoise (const char *stdname)
	Set Normal random noise for an output variable.

void	setSeed (UInt_t nval)
	Set the seed of the random generator if one is used.

Printing Log
void	setLog ()

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

virtual void	printLog (Option_t *option="")

Public Attributes
URANIE::DataServer::TDataServer *	_tdsEval
	pointer toward the evaluation dataserver

URANIE::DataServer::TDataServer *	_tdsObs
	pointer toward the reference dataserver

URANIE::DataServer::TDSNtupleD *	_allData
	pointer toward the reference dataserver

Protected Member Functions
Internal methods
void	getData (bool reference=false)
	Get the data either the reference one, or the estimated one for a given parameter configuration.

virtual Int_t	localeval (Double_t *res)=0
	Use the reference and the newly obtained estimations to compute a distance.

Protected Attributes
vector< string >	_vrefName
	Vector of reference name.

vector< string >	_voutName
	Vector of output name.

vector< string >	_vparName
	Vector of parameters name.

vector< vector< double > >	_yObs
	Vector of observations outputs (size: _nVar < _nObs >)

vector< vector< double > >	_yExp
	Vector of tested values (size: _nVar <_nObs>)

TMatrixD	_mObsCovMat
	Observation Covariance matrix.

TMatrixD	_myObs
	Vector of observations outputs (size: _nVar < _nObs >)

TMatrixD	_myExp
	Vector of tested values (size: _nVar <_nObs>)

unsigned int	_nObs
	Number of observations.

unsigned int	_nVar
	Number of variables;.

unsigned int	_nPar
	Number of Parameters;.

vector< double >	_vParValues

vector< double >	_varWeights
	Vector of variable weights (size: _nVar)

vector< vector< double > >	_obsWeights
	Vector of observation weights outputs (size: _nObs)

URANIE::Relauncher::TRun *	_run

TString	_tlcType

TString	_codeLauncherOpt
	Option for code launcher.

URANIE::Launcher::TCode *	_code

TString	_funcName

void(*	_pFunction )(double , double )
	Function pointer.

TString	_varexpinput

TString	_varexpoutput

bool	_baprioriSet
	Whether apriori is set to evaluator.

bool	_bsaveAll
	Whether all evaluations should be saved, not only a priori and a posteriori.

bool	_buseMatrix
	Use matrix instead of vectors.

bool	_blog
	Boolean to decide if the log information is shown or not.

bool	_dumpAllTds
	dump all tested dataserver;

bool	_keepParValue
	Keep the parameters values in runner case.

bool	_bdumpDetails
	Dump the details in Distance Computation.

int	_icalc
	Calcul iterator;.

unsigned int	_ivar

unsigned int	_iobs

TList *	_listOfParameters
	list of parameters

TRandom3 *	_rand
	The random generator.

int	_nSeed
	The seed of the random generator.

TMatrixD	_mSigma
	Vector of variance of errors.

bool	_boolNoise
	Whether noise is add to the output.

Detailed Description

Description of the class TDistanceFunction.

This class defines the structure of all distance function (DF) and rely on the relauncher structure to do so. Every DF will be based on this class, inherinting from TSimpleEval. The aim of the distance function is to

handle the data (input / reference values and possible weights)
get parameters value from the TCalibration inheriting object and recompute estimated outputs for all events in reference dataserver
store the apriori evaluation for residuals plots (and possibly all evaluations if requested)
compute a distance that will be used as a way to quantify how close the new parameters set is to the reference.

Constructor & Destructor Documentation

◆ TDistanceFunction()

URANIE::Calibration::TDistanceFunction::TDistanceFunction	(	URANIE::DataServer::TDataServer *	tdsEval,
		URANIE::DataServer::TDataServer *	tdsObs,
		const char *	reference,
		const char *	output,
		const char *	weight = `""`
	)

Standard constructor.

A TDistanceFunction object is created by providing

the evaluation dataserver
the reference dataserver
the list of variable that are the output reference (_nVar in total)
the outputs of the code (_nVar as well)
the observation weight (uncertainty for instance)

Referenced by ClassImp().

◆ ~TDistanceFunction()

virtual URANIE::Calibration::TDistanceFunction::~TDistanceFunction ( )

virtual

Default destructor.

Referenced by ClassImp().

Member Function Documentation

◆ addCodeLauncherOpt()

void URANIE::Calibration::TDistanceFunction::addCodeLauncherOpt ( TString opt )

inline

add options to the already of the code launcher

References _codeLauncherOpt.

◆ changeCodeLauncherOpt()

void URANIE::Calibration::TDistanceFunction::changeCodeLauncherOpt ( TString opt )

inline

Change the option of the code launcher.

References _codeLauncherOpt.

◆ changeLauncher()

void URANIE::Calibration::TDistanceFunction::changeLauncher ( TString tlcName )

Change the code launcher.

Referenced by ClassImp().

◆ changeLog()

void URANIE::Calibration::TDistanceFunction::changeLog ( )

inline

References _blog.

◆ dumpAllDataservers()

void URANIE::Calibration::TDistanceFunction::dumpAllDataservers ( )

inline

References _dumpAllTds.

◆ dumpDetails()

void URANIE::Calibration::TDistanceFunction::dumpDetails ( )

inline

References _bdumpDetails.

◆ eval()

Int_t URANIE::Calibration::TDistanceFunction::eval	(	Double_t *	theta,
		Double_t *	res,
		int	= `0`
	)

Official method inherited from TSimpleEval, it is the main method of a DF It calls three methods in a row : runConfiguration, getData and localeval.

Parameters

theta	value of the parameters to be tested (dimension _nPDar)
res	output value of the DF (dimension 1)

Referenced by ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), and URANIE::Calibration::TABC::computeABC().

◆ fillInOutAtt()

void URANIE::Calibration::TDistanceFunction::fillInOutAtt ( URANIE::DataServer::TDataServer * tdsPar )

Internal initialisation method.

Referenced by ClassImp().

◆ getData()

void URANIE::Calibration::TDistanceFunction::getData ( bool reference = false )

protected

Get the data either the reference one, or the estimated one for a given parameter configuration.

Parameters

reference boolean by default set to false.

Referenced by ClassImp(), and setUseMatrix().

◆ getLog()

Bool_t URANIE::Calibration::TDistanceFunction::getLog ( )

inline

References _blog.

◆ getObservationMatrix()

TMatrixD URANIE::Calibration::TDistanceFunction::getObservationMatrix ( )

inline

Return the observation matrix.

References _buseMatrix, and _myObs.

Referenced by ClassImp().

◆ getObservationVector()

vector< vector< double > > URANIE::Calibration::TDistanceFunction::getObservationVector ( )

inline

Return the observation vector of vector.

References _buseMatrix, and _yObs.

◆ getSaveAllEvaluation()

bool URANIE::Calibration::TDistanceFunction::getSaveAllEvaluation ( )

inline

Check the value of the saveAll option.

References _bsaveAll.

◆ getUseMatrix()

bool URANIE::Calibration::TDistanceFunction::getUseMatrix ( )

inline

Check the value of the useMatrix option.

References _buseMatrix.

◆ initParameters() [1/4]

void URANIE::Calibration::TDistanceFunction::initParameters	(	URANIE::DataServer::TDataServer *	tdsPar,
		const char *	funcName,
		const char *	varexpinput,
		const char *	varexpoutput
	)

◆ initParameters() [2/4]

void URANIE::Calibration::TDistanceFunction::initParameters	(	URANIE::DataServer::TDataServer *	tdsPar,
		URANIE::Launcher::TCode *	Code
	)

◆ initParameters() [3/4]

void URANIE::Calibration::TDistanceFunction::initParameters	(	URANIE::DataServer::TDataServer *	tdsPar,
		URANIE::Relauncher::TRun *	run
	)

Referenced by ClassImp(), and ClassImp().

◆ initParameters() [4/4]

void URANIE::Calibration::TDistanceFunction::initParameters	(	URANIE::DataServer::TDataServer *	tdsPar,
		void()(Double_t , Double_t *)	fcn,
		const char *	varexpinput,
		const char *	varexpoutput
	)

◆ keepParametersValue()

void URANIE::Calibration::TDistanceFunction::keepParametersValue ( )

inline

References _keepParValue.

◆ localeval()

virtual Int_t URANIE::Calibration::TDistanceFunction::localeval ( Double_t * res )

protectedpure virtual

Use the reference and the newly obtained estimations to compute a distance.

Parameters

res	output value of the DF (dimension 1)

Implemented in URANIE::Calibration::TLSDistanceFunction, URANIE::Calibration::TWeightedLSDistanceFunction, URANIE::Calibration::TRelativeLSDistanceFunction, URANIE::Calibration::TL1DistanceFunction, and URANIE::Calibration::TMahalanobisDistanceFunction.

Referenced by ClassImp().

◆ printLog()

virtual void URANIE::Calibration::TDistanceFunction::printLog ( Option_t * option = "" )

virtual

Referenced by ClassImp().

◆ runConfiguration()

void URANIE::Calibration::TDistanceFunction::runConfiguration ( double * theta )

Runs the code provided on the reference input to get estimations.

Parameters

theta value of the parameters to be tested (dimension _nPar)

Referenced by ClassImp(), and ClassImp().

◆ setGaussianRandomNoise()

void URANIE::Calibration::TDistanceFunction::setGaussianRandomNoise ( const char * stdname )

Set Normal random noise for an output variable.

Referenced by ClassImp(), and URANIE::Calibration::TABC::setGaussianNoise().

◆ setLog()

void URANIE::Calibration::TDistanceFunction::setLog ( )

inline

References _blog.

Referenced by ClassImp().

◆ setObservationCovarianceMatrix()

void URANIE::Calibration::TDistanceFunction::setObservationCovarianceMatrix ( TMatrixD & mat )

set the observatiton covariance matrix

Referenced by ClassImp(), and ClassImp().

◆ setSaveAllEvaluations()

void URANIE::Calibration::TDistanceFunction::setSaveAllEvaluations ( bool value )

inline

Choose whether every evaluations should be kept (might slown down the process)

References _bsaveAll.

Referenced by ClassImp().

◆ setSeed()

void URANIE::Calibration::TDistanceFunction::setSeed ( UInt_t nval )

inline

Set the seed of the random generator if one is used.

References _nSeed.

◆ setUseMatrix()

void URANIE::Calibration::TDistanceFunction::setUseMatrix ( bool value )

inline

Choose whether vector of vector or matrix should be used in the distance function localeval method.

References _buseMatrix, and getData().

Referenced by ClassImp().

◆ setVarWeights() [1/2]

void URANIE::Calibration::TDistanceFunction::setVarWeights	(	int	nwei,
		double *	wei
	)

Set a weight to ponderate variable when _nVar >1.

Referenced by ClassImp().

◆ setVarWeights() [2/2]

void URANIE::Calibration::TDistanceFunction::setVarWeights ( vector< double > wei )

Set a weight to ponderate variable when _nVar >1.

◆ unsetLog()

void URANIE::Calibration::TDistanceFunction::unsetLog ( )

inline

References _blog.

Member Data Documentation

◆ _allData

URANIE::DataServer::TDSNtupleD* URANIE::Calibration::TDistanceFunction::_allData

pointer toward the reference dataserver

Referenced by ClassImp().

◆ _baprioriSet

bool URANIE::Calibration::TDistanceFunction::_baprioriSet

protected

Whether apriori is set to evaluator.

Referenced by ClassImp().

◆ _bdumpDetails

bool URANIE::Calibration::TDistanceFunction::_bdumpDetails

protected

Dump the details in Distance Computation.

Referenced by dumpDetails().

◆ _blog

bool URANIE::Calibration::TDistanceFunction::_blog

protected

Boolean to decide if the log information is shown or not.

Referenced by changeLog(), ClassImp(), getLog(), setLog(), and unsetLog().

◆ _boolNoise

bool URANIE::Calibration::TDistanceFunction::_boolNoise

protected

Whether noise is add to the output.

Referenced by ClassImp().

◆ _bsaveAll

bool URANIE::Calibration::TDistanceFunction::_bsaveAll

protected

Whether all evaluations should be saved, not only a priori and a posteriori.

Referenced by ClassImp(), getSaveAllEvaluation(), and setSaveAllEvaluations().

◆ _buseMatrix

bool URANIE::Calibration::TDistanceFunction::_buseMatrix

protected

Use matrix instead of vectors.

Referenced by ClassImp(), getObservationMatrix(), getObservationVector(), getUseMatrix(), and setUseMatrix().

◆ _code

URANIE::Launcher::TCode* URANIE::Calibration::TDistanceFunction::_code

protected

Referenced by ClassImp().

◆ _codeLauncherOpt

TString URANIE::Calibration::TDistanceFunction::_codeLauncherOpt

protected

Option for code launcher.

Referenced by addCodeLauncherOpt(), changeCodeLauncherOpt(), and ClassImp().

◆ _dumpAllTds

bool URANIE::Calibration::TDistanceFunction::_dumpAllTds

protected

dump all tested dataserver;

Referenced by ClassImp(), and dumpAllDataservers().

◆ _funcName

TString URANIE::Calibration::TDistanceFunction::_funcName

protected

Referenced by ClassImp().

◆ _icalc

int URANIE::Calibration::TDistanceFunction::_icalc

protected

Calcul iterator;.

Referenced by ClassImp().

◆ _iobs

unsigned int URANIE::Calibration::TDistanceFunction::_iobs

protected

◆ _ivar

unsigned int URANIE::Calibration::TDistanceFunction::_ivar

protected

Referenced by ClassImp().

◆ _keepParValue

bool URANIE::Calibration::TDistanceFunction::_keepParValue

protected

Keep the parameters values in runner case.

Referenced by ClassImp(), and keepParametersValue().

◆ _listOfParameters

TList* URANIE::Calibration::TDistanceFunction::_listOfParameters

protected

list of parameters

Referenced by ClassImp().

◆ _mObsCovMat

TMatrixD URANIE::Calibration::TDistanceFunction::_mObsCovMat

protected

Observation Covariance matrix.

Referenced by ClassImp().

◆ _mSigma

TMatrixD URANIE::Calibration::TDistanceFunction::_mSigma

protected

Vector of variance of errors.

Referenced by ClassImp().

◆ _myExp

TMatrixD URANIE::Calibration::TDistanceFunction::_myExp

protected

Vector of tested values (size: _nVar <_nObs>)

Referenced by ClassImp().

◆ _myObs

TMatrixD URANIE::Calibration::TDistanceFunction::_myObs

protected

Vector of observations outputs (size: _nVar < _nObs >)

Referenced by ClassImp(), and getObservationMatrix().

◆ _nObs

unsigned int URANIE::Calibration::TDistanceFunction::_nObs

protected

Number of observations.

Referenced by ClassImp().

◆ _nPar

unsigned int URANIE::Calibration::TDistanceFunction::_nPar

protected

Number of Parameters;.

Referenced by ClassImp().

◆ _nSeed

int URANIE::Calibration::TDistanceFunction::_nSeed

protected

The seed of the random generator.

Referenced by ClassImp(), and setSeed().

◆ _nVar

unsigned int URANIE::Calibration::TDistanceFunction::_nVar

protected

Number of variables;.

Referenced by ClassImp().

◆ _obsWeights

vector<vector<double> > URANIE::Calibration::TDistanceFunction::_obsWeights

protected

Vector of observation weights outputs (size: _nObs)

◆ _pFunction

void(* URANIE::Calibration::TDistanceFunction::_pFunction) (double *, double *)

protected

Function pointer.

Referenced by ClassImp().

◆ _rand

TRandom3* URANIE::Calibration::TDistanceFunction::_rand

protected

The random generator.

Referenced by ClassImp().

◆ _run

URANIE::Relauncher::TRun* URANIE::Calibration::TDistanceFunction::_run

protected

Referenced by ClassImp().

◆ _tdsEval

URANIE::DataServer::TDataServer* URANIE::Calibration::TDistanceFunction::_tdsEval

pointer toward the evaluation dataserver

Referenced by ClassImp().

◆ _tdsObs

URANIE::DataServer::TDataServer* URANIE::Calibration::TDistanceFunction::_tdsObs

pointer toward the reference dataserver

Referenced by ClassImp().

◆ _tlcType

TString URANIE::Calibration::TDistanceFunction::_tlcType

protected

Referenced by ClassImp().

◆ _varexpinput

TString URANIE::Calibration::TDistanceFunction::_varexpinput

protected

Referenced by ClassImp().

◆ _varexpoutput

TString URANIE::Calibration::TDistanceFunction::_varexpoutput

protected

Referenced by ClassImp().

◆ _varWeights

vector<double> URANIE::Calibration::TDistanceFunction::_varWeights

protected

Vector of variable weights (size: _nVar)

Referenced by ClassImp().

◆ _voutName

vector<string> URANIE::Calibration::TDistanceFunction::_voutName

protected

Vector of output name.

Referenced by ClassImp().

◆ _vparName

vector<string> URANIE::Calibration::TDistanceFunction::_vparName

protected

Vector of parameters name.

Referenced by ClassImp().

◆ _vParValues

vector<double> URANIE::Calibration::TDistanceFunction::_vParValues

protected

Referenced by ClassImp().

◆ _vrefName

vector<string> URANIE::Calibration::TDistanceFunction::_vrefName

protected

Vector of reference name.

Referenced by ClassImp().

◆ _yExp

vector<vector<double> > URANIE::Calibration::TDistanceFunction::_yExp

protected

Vector of tested values (size: _nVar <_nObs>)

Referenced by ClassImp().

◆ _yObs

vector<vector<double> > URANIE::Calibration::TDistanceFunction::_yObs

protected

Vector of observations outputs (size: _nVar < _nObs >)

Referenced by ClassImp(), and getObservationVector().

Documentation / Manuel développeur

Modules disponibles

Public Member Functions

Public Attributes

Protected Member Functions

Protected Attributes

Detailed Description

Constructor & Destructor Documentation

◆ TDistanceFunction()

◆ ~TDistanceFunction()

Member Function Documentation

◆ addCodeLauncherOpt()

◆ changeCodeLauncherOpt()

◆ changeLauncher()

◆ changeLog()

◆ dumpAllDataservers()

◆ dumpDetails()

◆ eval()

◆ fillInOutAtt()

◆ getData()

◆ getLog()

◆ getObservationMatrix()

◆ getObservationVector()

◆ getSaveAllEvaluation()

◆ getUseMatrix()

◆ initParameters() [1/4]

◆ initParameters() [2/4]

◆ initParameters() [3/4]

◆ initParameters() [4/4]

◆ keepParametersValue()

◆ localeval()

◆ printLog()

◆ runConfiguration()

◆ setGaussianRandomNoise()

◆ setLog()

◆ setObservationCovarianceMatrix()

◆ setSaveAllEvaluations()

◆ setSeed()

◆ setUseMatrix()

◆ setVarWeights() [1/2]

◆ setVarWeights() [2/2]

◆ unsetLog()

Member Data Documentation

◆ _allData

◆ _baprioriSet

◆ _bdumpDetails

◆ _blog

◆ _boolNoise

◆ _bsaveAll

◆ _buseMatrix

◆ _code

◆ _codeLauncherOpt

◆ _dumpAllTds

◆ _funcName

◆ _icalc

◆ _iobs

◆ _ivar

◆ _keepParValue

◆ _listOfParameters

◆ _mObsCovMat

◆ _mSigma

◆ _myExp

◆ _myObs

◆ _nObs

◆ _nPar

◆ _nSeed

◆ _nVar

◆ _obsWeights

◆ _pFunction

◆ _rand

◆ _run

◆ _tdsEval

◆ _tdsObs

◆ _tlcType

◆ _varexpinput

◆ _varexpoutput

◆ _varWeights

◆ _voutName

◆ _vparName

◆ _vParValues