Description of the class TCalibration. More...

#include <TCalibration.h>

Inheritance diagram for URANIE::Calibration::TCalibration:

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Collaboration diagram for URANIE::Calibration::TCalibration:

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Public Member Functions
Constructor and Destructor
	TCalibration (URANIE::DataServer::TDataServer tds, URANIE::Relauncher::TRun run, int ns=1, Option_t *option="")
	Default constructor with the runner argument: it contains the assessor to be used.

	TCalibration (URANIE::DataServer::TDataServer tds, void(fcn)(Double_t , Double_t ), const char varexpinput, const char varexpoutput, int ns=1, Option_t *option="")
	Default Calibration constructor with the function argument: it contains the assessor to be used.

	TCalibration (URANIE::DataServer::TDataServer tds, const char fcn, const char varexpinput, const char varexpoutput, int ns=1, Option_t *option="")
	Default Calibration constructor with the function argument: it contains the assessor to be used.

	TCalibration (URANIE::DataServer::TDataServer tds, URANIE::Launcher::TCode fcode, int ns=1, const char *option="")
	Default Calibration constructor with the code argument: it contains the assessor to be used.

virtual	~TCalibration ()
	Default destructor.

Initialisation methods
virtual void	setDistanceAndReference (const char funcName, URANIE::DataServer::TDataServer tdsRef, const char input, const char reference, const char *weight="")
	Set the distance function and some needed informations.

virtual void	setDistanceAndReference (URANIE::Calibration::TDistanceFunction distFunc, URANIE::DataServer::TDataServer tdsRef, const char input, const char reference, const char *weight="")
	Set the distance function and some needed informations.

launching method
void	estimateParameters (Option_t *option="")

void	estimateCustomResidues (string resName, int n_theta, double *theta)

void	checkReference (URANIE::DataServer::TDataServer tdsRef, const char input, const char output, const char weight)
	Check the consistency of the formation provided.

drawing method
virtual void	drawParameters (TString sTitre, const char variable="", const char select="1>0", Option_t option="")

void	drawResidues (TString sTitre, const char variable="", const char select="1>0", Option_t option="")

Printing Log
void	setLog ()

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

virtual void	printLog (Option_t *option="")

Protected Member Functions
Internal methods
virtual void	computeParameters (Option_t *option="")=0
	internal method in which the estimation is performed for all inheriting classes

virtual void	checktdsParContent ()=0

void	checkCanvasCreation (bool newcan)
	Create a canvas if needed.

void	initInputs ()
	Initialise some common inputs.

void	initResults (vector< string > *ParsedLines)
	Initialise some common inputs.

void	computeAPosterioriForDistribution ()
	Compute the a posteriori residual for many-solutions method.

Parse the option
virtual void	parseOption (Option_t *option="")
	Read the possible options.

attributes
enum	ELauncher { kCode , kFunction , kRun , kUnknown }

URANIE::DataServer::TDataServer *	_tdsPar
	TDS containing parameters properties (parameters that should be calibrated)

URANIE::DataServer::TDataServer *	_tdsObs
	TDS containing observations used for calibration.

URANIE::DataServer::TDataServer *	_tdsEval
	TDS containing a priori / a posteriori evaluations.

ELauncher	_nLauncher
	The type of launcher.

TString	_sFunctionName
	The Name of the evaluatuor.

TString	_sEI
	The Name of input.

TString	_sEO
	The Name of output.

URANIE::Launcher::TCode *	_code
	The tcode.

URANIE::Relauncher::TRun *	_run
	Pointer to the runner to be used.

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

vector< URANIE::DataServer::TStochasticAttribute * >	_vatt
	internal vector of stochastic attribute for some methods

URANIE::Calibration::TDistanceFunction *	_dFunc
	Pointer to chosen distance function.

URANIE::DataServer::TDSNtupleD *	_evTuple
	Pointer to the eval ntuple.

TList *	_listOfParameters
	List of the parameters to be calibrated.

TCanvas *	_canvas
	Canvas object to deal with.

TObjArray *	_drawingGarbageCollector
	Garbage collector for prints.

int	_nSam
	The number of sample in a posteriori distributions.

int	_nObs
	The number of observations in the reference database.

int	_nIterMax
	The maximum number of iteration allowed (meaning total number of code estimation is _nIterMax * _nObs)

int	_nPar
	Dimension of the parameters.

int	_nVar
	Dimension of the output and references to be compared with.

int	_nSeed
	The seed of the random generator.

TString	_sMethodName
	The method name.

TString	_referenceName
	The reference name.

TString	_outputName
	The output name.

vector< string >	_vrefName
	The reference names.

vector< string >	_voutName
	The output names.

TString	_weightName
	The weight name.

TMatrixD	_mObsCovMat
	Observation Covariance matrix.

bool	_buseMatrix
	Use matrix instead of vectors in the Distance Function.

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

bool	_bdontKeepAgreement
	Remove the agreement attribute from the tdsPar object.

bool	_buseMode
	Use Mode instead of Mean.

Bool_t	_blog
	Boolean for edit the log.

Setting and Getting attributs
Int_t	getID ()

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

UInt_t	getSeed ()
	Get the seed of the random generator if one is used.

const char *	getMethodName ()
	Get the method name.

void	setObservationCovarianceMatrix (TMatrixD &mat)
	Set the observatiton covariance matrix.

URANIE::Calibration::TDistanceFunction *	getDistanceFunction ()
	Return the distance function.

Int_t	getNPar ()
	Get the number of parameters to be calibrated.

URANIE::DataServer::TDataServer *	getEvaluationTDS ()
	Get the tds in which evaluation will be performed.

void	setMethodName (const char *str)
	Set the Method name.

Detailed Description

Description of the class TCalibration.

Member Enumeration Documentation

◆ ELauncher

enum URANIE::Calibration::TCalibration::ELauncher

Enumerator
kCode
kFunction
kRun
kUnknown

Constructor & Destructor Documentation

◆ TCalibration() [1/4]

URANIE::Calibration::TCalibration::TCalibration	(	URANIE::DataServer::TDataServer *	tds,
		URANIE::Relauncher::TRun *	run,
		int	ns = `1`,
		Option_t *	option = `""`
	)

Default constructor with the runner argument: it contains the assessor to be used.

Parameters

tds	: the dataserver that contains no data but only one attribute per parameter to be calibrated
run	: the runner that contains the assessor to be used on the reference data
ns	: number of sample to be generated (depending on the method)
option	: see parseOption below

Referenced by ClassImp().

◆ TCalibration() [2/4]

URANIE::Calibration::TCalibration::TCalibration	(	URANIE::DataServer::TDataServer *	tds,
		void()(Double_t , Double_t *)	fcn,
		const char *	varexpinput,
		const char *	varexpoutput,
		int	ns = `1`,
		Option_t *	option = `""`
	)

Default Calibration constructor with the function argument: it contains the assessor to be used.

Parameters

tds	: the dataserver that contains no data but only one attribute per parameter to be calibrated
fcn	: the pointer to a function
ns	: number of sample to be generated (depending on the method)
varexpinput	: the input variable for the function in the correct order (both input and parameters)
varexpoutput	: the output of the function in the correct order

◆ TCalibration() [3/4]

URANIE::Calibration::TCalibration::TCalibration	(	URANIE::DataServer::TDataServer *	tds,
		const char *	fcn,
		const char *	varexpinput,
		const char *	varexpoutput,
		int	ns = `1`,
		Option_t *	option = `""`
	)

Default Calibration constructor with the function argument: it contains the assessor to be used.

Parameters

tds	: the dataserver that contains no data but only one attribute per parameter to be calibrated
fcn	: the name of the function
ns	: number of sample to be generated (depending on the method)
varexpinput	: the input variable for the function in the correct order (both input and parameters)
varexpoutput	: the output of the function in the correct order

◆ TCalibration() [4/4]

URANIE::Calibration::TCalibration::TCalibration	(	URANIE::DataServer::TDataServer *	tds,
		URANIE::Launcher::TCode *	fcode,
		int	ns = `1`,
		const char *	option = `""`
	)

Default Calibration constructor with the code argument: it contains the assessor to be used.

Parameters

tds	: the dataserver that contains no data but only one attribute per parameter to be calibrated
code	: the code object that will be runned
ns	: number of sample to be generated (depending on the method)

◆ ~TCalibration()

virtual URANIE::Calibration::TCalibration::~TCalibration ( )

virtual

Default destructor.

Referenced by ClassImp().

Member Function Documentation

◆ changeLog()

void URANIE::Calibration::TCalibration::changeLog ( )

inline

References _blog.

◆ checkCanvasCreation()

void URANIE::Calibration::TCalibration::checkCanvasCreation ( bool newcan )

protected

Create a canvas if needed.

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

◆ checkReference()

void URANIE::Calibration::TCalibration::checkReference	(	URANIE::DataServer::TDataServer *	tdsRef,
		const char *	input,
		const char *	output,
		const char *	weight
	)

Check the consistency of the formation provided.

Referenced by ClassImp().

◆ checktdsParContent()

virtual void URANIE::Calibration::TCalibration::checktdsParContent ( )

protectedpure virtual

Implemented in URANIE::Calibration::TABC, URANIE::Calibration::TLinearBayesian, URANIE::Calibration::TMetropHasting, and URANIE::Calibration::TMinimisation.

◆ computeAPosterioriForDistribution()

void URANIE::Calibration::TCalibration::computeAPosterioriForDistribution ( )

protected

Compute the a posteriori residual for many-solutions method.

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

◆ computeParameters()

virtual void URANIE::Calibration::TCalibration::computeParameters ( Option_t * option = "" )

protectedpure virtual

internal method in which the estimation is performed for all inheriting classes

Implemented in URANIE::Calibration::TLinearBayesian, URANIE::Calibration::TMetropHasting, URANIE::Calibration::TMinimisation, URANIE::Calibration::TPMCABC, and URANIE::Calibration::TRejectionABC.

Referenced by ClassImp().

◆ drawParameters()

virtual void URANIE::Calibration::TCalibration::drawParameters	(	TString	sTitre,
		const char *	variable = `"*"`,
		const char *	select = `"1>0"`,
		Option_t *	option = `""`
	)

virtual

brief Draws the parameters (only skeleton, at this level it is empty)

Parameters

sTitre	title of the plots if specified
variable	list of variables that should be plotted
select	selection pattern, if this is requested and possible
option	possible option for this plot

Reimplemented in URANIE::Calibration::TLinearBayesian, and URANIE::Calibration::TMetropHasting.

Referenced by ClassImp().

◆ drawResidues()

void URANIE::Calibration::TCalibration::drawResidues	(	TString	sTitre,
		const char *	variable = `"*"`,
		const char *	select = `"1>0"`,
		Option_t *	option = `""`
	)

brief Draws the residuals meaning the difference between the reference and the estimation a priori and a posteriori Depending whether the method use point-wise or distribution-wise the apriori and a posteriori estimatiton are :

from a single point for TMinimisation: initialisaiton for a priori and result for a posteriori
the mode and mean for TLinearBayesian as the hypothesis are gaussian prior and analytical posterior

the mode from TMetropHasting for a prior and the mean_of the a posteriorie parameters distributions, or the MAP (mode a posteriori) estimated from an internal smoothing

Parameters

sTitre	title of the plots if specified
variable	list of variables that should be plotted
select	selection pattern, if this is requested (on the number of events from the reference for instance or with respect to input value for diagnostic)
option	possible option for this plot

"nonewcanvas": don't create a new canvas, but use the one active
"apriori": draw only a priori residuals (default is both)
"aposteriori": draw only a posteriori residuals (default is both)
"vertical" : if there are several parameters to be shown put them on top of another instead of side by side

Referenced by ClassImp().

◆ estimateCustomResidues()

void URANIE::Calibration::TCalibration::estimateCustomResidues	(	string	resName,
		int	n_theta,
		double *	theta
	)

Referenced by ClassImp().

◆ estimateParameters()

void URANIE::Calibration::TCalibration::estimateParameters ( Option_t * option = "" )

Referenced by ClassImp().

◆ getDistanceFunction()

URANIE::Calibration::TDistanceFunction * URANIE::Calibration::TCalibration::getDistanceFunction ( )

inline

Return the distance function.

References _dFunc.

◆ getEvaluationTDS()

URANIE::DataServer::TDataServer * URANIE::Calibration::TCalibration::getEvaluationTDS ( )

inline

Get the tds in which evaluation will be performed.

References _tdsEval.

◆ getID()

Int_t URANIE::Calibration::TCalibration::getID ( )

inline

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

◆ getLog()

Bool_t URANIE::Calibration::TCalibration::getLog ( )

inline

References _blog.

◆ getMethodName()

const char * URANIE::Calibration::TCalibration::getMethodName ( )

inline

Get the method name.

References _sMethodName.

◆ getNPar()

Int_t URANIE::Calibration::TCalibration::getNPar ( )

inline

Get the number of parameters to be calibrated.

Returns: The number of parameters ( _nPar )

References _nPar.

◆ getSeed()

UInt_t URANIE::Calibration::TCalibration::getSeed ( )

inline

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

References _nSeed.

◆ initInputs()

void URANIE::Calibration::TCalibration::initInputs ( )

protected

Initialise some common inputs.

Referenced by ClassImp().

◆ initResults()

void URANIE::Calibration::TCalibration::initResults ( vector< string > * ParsedLines )

protected

Initialise some common inputs.

Referenced by ClassImp().

◆ parseOption()

virtual void URANIE::Calibration::TCalibration::parseOption ( Option_t * option = "" )

protectedvirtual

Read the possible options.

Possible options are (common to all methods)

"savealleval": keep all estimation in the _tdsEval (Extremely dangerous as it will keep _nIter branches with _nObs estimations. This option might slow down the process.
"usematrix" : option use to specify that computation is done with matrices instead of vector<vector<double> >. Shoud be used only if one is using an home-made TDistanceFunction

Reimplemented in URANIE::Calibration::TMetropHasting, and URANIE::Calibration::TMinimisation.

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

◆ printLog()

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

virtual

Reimplemented in URANIE::Calibration::TLinearBayesian, URANIE::Calibration::TMetropHasting, and URANIE::Calibration::TMinimisation.

Referenced by ClassImp().

◆ setDistanceAndReference() [1/2]

virtual void URANIE::Calibration::TCalibration::setDistanceAndReference	(	const char *	funcName,
		URANIE::DataServer::TDataServer *	tdsRef,
		const char *	input,
		const char *	reference,
		const char *	weight = `""`
	)

virtual

Set the distance function and some needed informations.

Parameters

funcName	name of the distance function chosen among the already implemented ones: "LS" for least square "weighterLS" for weighted least square "relativeLS" for relative least square "L1" for L1 norm "Mahalanobis" for Mahalanobis distance function
tdsRef	: the dataserver that contains all needed information detailled below input: the input attributes used of the assessors in run reference: the reference attributes that will be used to compared the newly done estimations for every iterations weight: a weight to reweight every event, one-by-one (an experimental uncertainty for instance)

Reimplemented in URANIE::Calibration::TLinearBayesian, and URANIE::Calibration::TMetropHasting.

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

◆ setDistanceAndReference() [2/2]

virtual void URANIE::Calibration::TCalibration::setDistanceAndReference	(	URANIE::Calibration::TDistanceFunction *	distFunc,
		URANIE::DataServer::TDataServer *	tdsRef,
		const char *	input,
		const char *	reference,
		const char *	weight = `""`
	)

virtual

Set the distance function and some needed informations.

Parameters

distFunc	a pointer to a TDistanceFunction object (not usual, recommended only when dealing with a home-made distance unction compiled on the spot)
tdsRef	: the dataserver that contains all needed information detailled below input: the input attributes used of the assessors in run reference: the reference attributes that will be used to compared the newly done estimations for every iterations weight: a weight to reweight every event, one-by-one (an experimental uncertainty for instance)

Reimplemented in URANIE::Calibration::TLinearBayesian, and URANIE::Calibration::TMetropHasting.

◆ setLog()

void URANIE::Calibration::TCalibration::setLog ( )

inline

References _blog.

◆ setMethodName()

void URANIE::Calibration::TCalibration::setMethodName ( const char * str )

inlineprotected

Set the Method name.

References _sMethodName.

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

◆ setObservationCovarianceMatrix()

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

Set the observatiton covariance matrix.

Parameters

mat	: a _nObs * _nObs covariance matrix

Referenced by ClassImp().

◆ setSeed()

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

inline

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

References _nSeed.

◆ unsetLog()

void URANIE::Calibration::TCalibration::unsetLog ( )

inline

References _blog.

Member Data Documentation

◆ _bdontKeepAgreement

bool URANIE::Calibration::TCalibration::_bdontKeepAgreement

protected

Remove the agreement attribute from the tdsPar object.

Referenced by ClassImp().

◆ _blog

Bool_t URANIE::Calibration::TCalibration::_blog

protected

Boolean for edit the log.

Referenced by changeLog(), URANIE::Calibration::TABC::checktdsParContent(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), URANIE::Calibration::TABC::computeABC(), URANIE::Calibration::TRejectionABC::computeParameters(), getLog(), setLog(), URANIE::Calibration::TABC::TABC(), unsetLog(), URANIE::Calibration::TABC::~TABC(), and URANIE::Calibration::TRejectionABC::~TRejectionABC().

◆ _bsaveAll

bool URANIE::Calibration::TCalibration::_bsaveAll

protected

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

Referenced by ClassImp().

◆ _buseMatrix

bool URANIE::Calibration::TCalibration::_buseMatrix

protected

Use matrix instead of vectors in the Distance Function.

Referenced by ClassImp().

◆ _buseMode

bool URANIE::Calibration::TCalibration::_buseMode

protected

Use Mode instead of Mean.

Referenced by ClassImp().

◆ _canvas

TCanvas* URANIE::Calibration::TCalibration::_canvas

protected

Canvas object to deal with.

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

◆ _code

URANIE::Launcher::TCode* URANIE::Calibration::TCalibration::_code

The tcode.

Referenced by ClassImp().

◆ _dFunc

URANIE::Calibration::TDistanceFunction* URANIE::Calibration::TCalibration::_dFunc

protected

Pointer to chosen distance function.

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

◆ _drawingGarbageCollector

TObjArray* URANIE::Calibration::TCalibration::_drawingGarbageCollector

protected

Garbage collector for prints.

Referenced by ClassImp(), and ClassImp().

◆ _evTuple

URANIE::DataServer::TDSNtupleD* URANIE::Calibration::TCalibration::_evTuple

protected

Pointer to the eval ntuple.

Referenced by ClassImp().

◆ _listOfParameters

TList* URANIE::Calibration::TCalibration::_listOfParameters

protected

List of the parameters to be calibrated.

Referenced by URANIE::Calibration::TABC::checktdsParContent(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), URANIE::Calibration::TABC::computeABCscore(), and URANIE::Calibration::TABC::posteriorToPar().

◆ _mObsCovMat

TMatrixD URANIE::Calibration::TCalibration::_mObsCovMat

protected

Observation Covariance matrix.

Referenced by ClassImp(), and ClassImp().

◆ _nIterMax

int URANIE::Calibration::TCalibration::_nIterMax

protected

The maximum number of iteration allowed (meaning total number of code estimation is _nIterMax * _nObs)

Referenced by ClassImp(), ClassImp(), and URANIE::Calibration::TRejectionABC::computeParameters().

◆ _nLauncher

ELauncher URANIE::Calibration::TCalibration::_nLauncher

The type of launcher.

Referenced by ClassImp().

◆ _nObs

int URANIE::Calibration::TCalibration::_nObs

protected

The number of observations in the reference database.

Referenced by ClassImp(), and ClassImp().

◆ _nPar

int URANIE::Calibration::TCalibration::_nPar

protected

Dimension of the parameters.

Referenced by URANIE::Calibration::TABC::checktdsParContent(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), URANIE::Calibration::TABC::computeABC(), URANIE::Calibration::TABC::computeABCscore(), getNPar(), URANIE::Calibration::TABC::posteriorToPar(), and URANIE::Calibration::TABC::setUpABC().

◆ _nSam

int URANIE::Calibration::TCalibration::_nSam

protected

The number of sample in a posteriori distributions.

Referenced by ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), and URANIE::Calibration::TRejectionABC::computeParameters().

◆ _nSeed

int URANIE::Calibration::TCalibration::_nSeed

protected

The seed of the random generator.

Referenced by ClassImp(), ClassImp(), ClassImp(), ClassImp(), getSeed(), setSeed(), and URANIE::Calibration::TABC::setUpABC().

◆ _nVar

int URANIE::Calibration::TCalibration::_nVar

protected

Dimension of the output and references to be compared with.

Referenced by ClassImp().

◆ _outputName

TString URANIE::Calibration::TCalibration::_outputName

protected

The output name.

Referenced by ClassImp().

◆ _pFunction

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

Function pointer.

Referenced by ClassImp().

◆ _referenceName

TString URANIE::Calibration::TCalibration::_referenceName

protected

The reference name.

Referenced by ClassImp().

◆ _run

URANIE::Relauncher::TRun* URANIE::Calibration::TCalibration::_run

Pointer to the runner to be used.

Referenced by ClassImp().

◆ _sEI

TString URANIE::Calibration::TCalibration::_sEI

The Name of input.

Referenced by ClassImp().

◆ _sEO

TString URANIE::Calibration::TCalibration::_sEO

The Name of output.

Referenced by ClassImp().

◆ _sFunctionName

TString URANIE::Calibration::TCalibration::_sFunctionName

The Name of the evaluatuor.

Referenced by ClassImp().

◆ _sMethodName

TString URANIE::Calibration::TCalibration::_sMethodName

protected

The method name.

Referenced by ClassImp(), ClassImp(), ClassImp(), getMethodName(), and setMethodName().

◆ _tdsEval

URANIE::DataServer::TDataServer* URANIE::Calibration::TCalibration::_tdsEval

TDS containing a priori / a posteriori evaluations.

Referenced by ClassImp(), ClassImp(), ClassImp(), and getEvaluationTDS().

◆ _tdsObs

URANIE::DataServer::TDataServer* URANIE::Calibration::TCalibration::_tdsObs

TDS containing observations used for calibration.

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

◆ _tdsPar

URANIE::DataServer::TDataServer* URANIE::Calibration::TCalibration::_tdsPar

TDS containing parameters properties (parameters that should be calibrated)

Referenced by URANIE::Calibration::TABC::checktdsParContent(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), ClassImp(), URANIE::Calibration::TABC::computeABC(), URANIE::Calibration::TABC::computeABCscore(), URANIE::Calibration::TRejectionABC::computeParameters(), URANIE::Calibration::TMetropHasting::getDefaultCut(), URANIE::Calibration::TABC::posteriorToPar(), and URANIE::Calibration::TABC::setUpABC().

◆ _vatt

vector<URANIE::DataServer::TStochasticAttribute*> URANIE::Calibration::TCalibration::_vatt

internal vector of stochastic attribute for some methods

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

◆ _voutName

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

protected

The output names.

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

◆ _vrefName

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

protected

The reference names.

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

◆ _weightName

TString URANIE::Calibration::TCalibration::_weightName

protected

The weight name.

Referenced by ClassImp().

Documentation / Developer's manual

Available modules

Public Member Functions

Protected Member Functions

attributes

Setting and Getting attributs

Detailed Description

Member Enumeration Documentation

◆ ELauncher

Constructor & Destructor Documentation

◆ TCalibration() [1/4]

◆ TCalibration() [2/4]

◆ TCalibration() [3/4]

◆ TCalibration() [4/4]

◆ ~TCalibration()

Member Function Documentation

◆ changeLog()

◆ checkCanvasCreation()

◆ checkReference()

◆ checktdsParContent()

◆ computeAPosterioriForDistribution()

◆ computeParameters()

◆ drawParameters()

◆ drawResidues()

◆ estimateCustomResidues()

◆ estimateParameters()

◆ getDistanceFunction()

◆ getEvaluationTDS()

◆ getID()

◆ getLog()

◆ getMethodName()

◆ getNPar()

◆ getSeed()

◆ initInputs()

◆ initResults()

◆ parseOption()

◆ printLog()

◆ setDistanceAndReference() [1/2]

◆ setDistanceAndReference() [2/2]

◆ setLog()

◆ setMethodName()

◆ setObservationCovarianceMatrix()

◆ setSeed()

◆ unsetLog()

Member Data Documentation

◆ _bdontKeepAgreement

◆ _blog

◆ _bsaveAll

◆ _buseMatrix

◆ _buseMode

◆ _canvas

◆ _code

◆ _dFunc

◆ _drawingGarbageCollector

◆ _evTuple

◆ _listOfParameters

◆ _mObsCovMat

◆ _nIterMax

◆ _nLauncher

◆ _nObs

◆ _nPar

◆ _nSam

◆ _nSeed

◆ _nVar

◆ _outputName

◆ _pFunction

◆ _referenceName

◆ _run

◆ _sEI

◆ _sEO

◆ _sFunctionName

◆ _sMethodName

◆ _tdsEval

◆ _tdsObs

◆ _tdsPar

◆ _vatt

◆ _voutName

◆ _vrefName

◆ _weightName