#include <TCirce.h>

Inheritance diagram for URANIE::UncertModeler::TCirce:

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Collaboration diagram for URANIE::UncertModeler::TCirce:

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Public Types
enum	ECirceMethod { kBiais , kBiaisBloc , kBiaisBlocCInitAlea , kBiaisBlocBootstrap , kUnknown }

Public Member Functions
Constructor and Destructor
	TCirce (URANIE::DataServer::TDataServer tds, const char systar, const char syhat, const char ssensi, const char sexpuncert="", Option_t option="")
	Default constructor.

virtual	~TCirce ()
	Default destructor.

Setting and Getting attributs
Treat the case where you have a Circe Input File
void	setTolerance (Double_t dtol)
	Set the tolerance parameter.

Double_t	getTolerance ()
	Get the Tolerance parameter.

void	setNCMatrix (Int_t n)
	Set the number of random matrix C to generate.

Int_t	getNCMatrix ()
	Get the number of random matrix C to generate.

Int_t	getNTDS ()
	Get the number of TDS.

Double_t	getLikelihood ()
	Get the Likelihood for the optimal parameters.

Int_t	getNPatterns ()
	Get the number of patterns.

Int_t	getNParameters ()
	Get the number of parameters.

TMatrixD	getMatrixVarianceMu ()
	Get the matrix of variance of mu.

TMatrixD	getMatrixVarianceSigma ()
	Get the matrix of variance of sigma.

vector B and matrix C Initial and final values
void	setCMatrixInitial (TMatrixD mat)
	Set The initial Matrix C.

TMatrixD	getCMatrixInitial ()
	Get the initial Matrix C.

TMatrixD	getCMatrix ()
	Get the final matrix C of coriance (Circe)

void	setBVectorInitial (TVectorD vec)
	Set the initial vector B.

TVectorD	getBVectorInitial ()
	Get the initial vector B.

TVectorD	getBVector ()
	Get the final vector of biais (Circe)

Methods for the algorithm
void	init (Option_t *option="")
	The init method.

void	estimate (Option_t *option="")
	the estimate procedure

void	terminate (Option_t *option="")
	the terminate method

void	printResults (Option_t *option="")
	Print the results.

void	addData (URANIE::DataServer::TDataServer tds, const char systar, const char syhat, const char ssensi, const char *sexpuncert="")
	Add data from a new TDS.

Other methods for Direct implementation
void	setInputFile (const char *sfile)
	Set the Circe Input File.

const char *	getInputFile ()
	Get the Circe Input File.

void	readInputFile (const char *sfile="", ECirceMethod nCirceMethod=kBiaisBloc)
	Set and Read the Circe Input File.

Internal methods
void	addBloc (URANIE::DataServer::TDataServer tds, const char sbloc, const char *sname="")
	The addBloc method.

TMatrixD	initCMatrix (Int_t nrows, Double_t dMulti)
	Generate a ramdom finite positive matrix C.

The Seed
void	setSeed (Int_t ind=0)
	Init the seed.

Int_t	getSeed ()
	Returns the seed value.

Printing Log
virtual void	printLog (Option_t *option="")
	Print the log of the class.

Public Member Functions inherited from URANIE::UncertModeler::TUncertModeler
	TUncertModeler (URANIE::DataServer::TDataServer tds, const char stest, const char varexpinput, Option_t option="")
	Default constructor.

virtual	~TUncertModeler ()
	Default constructor.

Int_t	getID ()

void	setLog ()

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

Protected Attributes
Int_t	_nSeed
	the Seed of the random generator

Double_t	_dTol
	The tolerance to test the convergence (default 1e-5)

Double_t	_dLikelihood
	The Likelihood for the optimal parameter.

TVectorD	_vecBiais
	The final vector of biais.

TMatrixD	_matC
	The final matrix of Covariance.

TMatrixD	_matCorrelation
	The final matrix of correlation.

Int_t	_nPatterns
	The number of patterns.

Int_t	_nParameters
	The number of parameters.

TString	_sCirceInputFile
	The input file of Circe.

ECirceMethod	_nCirceMethod
	the Circe method from (kBiais, kBiaisBloc, kBiaisBlocCInitAlea, kBiaisBlocBootstrap)

Int_t	_nInitCAlea
	the number of Matrix C alea (default 1)

TList *	_listOfTDS
	The list of TDS which contain data.

TList *	_listOfInformations
	The list of information for Circe.

TList *	_listOfBloc
	The list of bloc (default NULL : when only one is as blias.f)

TList *	_listOfSensitivity
	The list of sensitivity parameter.

TVectorD	_vecDiff
	The vector Y = Texp - Ycode.

TVectorD	_vecYStarVariance
	The vector of experimental variance.

TMatrixD	_matSensibility
	The matrix of sensibility.

TMatrixD	_matInitialC
	The initial matrix of C.

TVectorD	_vecInitialB
	The initial vector B.

TMatrixD	_matVarianceMu
	The matrix of variance of mu computed Confidence Interval by the Fisher Matrix.

TMatrixD	_matVarianceSigma
	The matrix of variance of sigma computed Confidence Interval by the Fisher Matrix.

Protected Attributes inherited from URANIE::UncertModeler::TUncertModeler
Char_t	_sType [12]

Char_t	_sMethod [12]

Float_t	_pValue

Additional Inherited Members
Public Attributes inherited from URANIE::UncertModeler::TUncertModeler
URANIE::DataServer::TDataServer *	_tds
	Pointer to a TDS.

Bool_t	_blog
	Boolean to edit the log.

Member Enumeration Documentation

◆ ECirceMethod

enum URANIE::UncertModeler::TCirce::ECirceMethod

Enumerator
kBiais
kBiaisBloc
kBiaisBlocCInitAlea
kBiaisBlocBootstrap
kUnknown

Constructor & Destructor Documentation

◆ TCirce()

URANIE::UncertModeler::TCirce::TCirce	(	URANIE::DataServer::TDataServer *	tds,
		const char *	systar,
		const char *	syhat,
		const char *	ssensi,
		const char *	sexpuncert = `""`,
		Option_t *	option = `""`
	)

Default constructor.

References addData(), and setSeed().

◆ ~TCirce()

URANIE::UncertModeler::TCirce::~TCirce ( )

virtual

Default destructor.

References _listOfBloc, _listOfInformations, _listOfSensitivity, and _listOfTDS.

Member Function Documentation

◆ addBloc()

void URANIE::UncertModeler::TCirce::addBloc	(	URANIE::DataServer::TDataServer *	tds,
		const char *	sbloc,
		const char *	sname = `""`
	)

The addBloc method.

References URANIE::UncertModeler::TUncertModeler::_blog, _listOfBloc, _listOfSensitivity, and CIRCE_BLOC_NAME.

Referenced by addData(), and init().

◆ addData()

void URANIE::UncertModeler::TCirce::addData	(	URANIE::DataServer::TDataServer *	tds,
		const char *	systar,
		const char *	syhat,
		const char *	ssensi,
		const char *	sexpuncert = `""`
	)

Add data from a new TDS.

References URANIE::UncertModeler::TUncertModeler::_blog, _listOfInformations, _listOfSensitivity, _listOfTDS, _nParameters, addBloc(), and CIRCE_RESIDU_ATTRIBUTE.

Referenced by TCirce().

◆ estimate()

void URANIE::UncertModeler::TCirce::estimate ( Option_t * option = "" )

the estimate procedure

References URANIE::UncertModeler::TUncertModeler::_blog, _dLikelihood, _dTol, _listOfSensitivity, _listOfTDS, _matC, _matCorrelation, _matInitialC, _matSensibility, _nInitCAlea, _nPatterns, URANIE::UncertModeler::TUncertModeler::_tds, _vecBiais, _vecDiff, _vecInitialB, _vecYStarVariance, CIRCE_RESIDU_ATTRIBUTE, init(), initCMatrix(), and terminate().

◆ getBVector()

TVectorD URANIE::UncertModeler::TCirce::getBVector ( )

inline

Get the final vector of biais (Circe)

References _vecBiais.

◆ getBVectorInitial()

TVectorD URANIE::UncertModeler::TCirce::getBVectorInitial ( )

inline

Get the initial vector B.

References _vecInitialB.

◆ getCMatrix()

TMatrixD URANIE::UncertModeler::TCirce::getCMatrix ( )

inline

Get the final matrix C of coriance (Circe)

References _matC.

◆ getCMatrixInitial()

TMatrixD URANIE::UncertModeler::TCirce::getCMatrixInitial ( )

inline

Get the initial Matrix C.

References _matInitialC.

◆ getInputFile()

const char * URANIE::UncertModeler::TCirce::getInputFile ( )

inline

Get the Circe Input File.

References _sCirceInputFile.

◆ getLikelihood()

Double_t URANIE::UncertModeler::TCirce::getLikelihood ( )

inline

Get the Likelihood for the optimal parameters.

References _dLikelihood.

◆ getMatrixVarianceMu()

TMatrixD URANIE::UncertModeler::TCirce::getMatrixVarianceMu ( )

inline

Get the matrix of variance of mu.

References _matVarianceMu.

◆ getMatrixVarianceSigma()

TMatrixD URANIE::UncertModeler::TCirce::getMatrixVarianceSigma ( )

inline

Get the matrix of variance of sigma.

References _matVarianceSigma.

◆ getNCMatrix()

Int_t URANIE::UncertModeler::TCirce::getNCMatrix ( )

inline

Get the number of random matrix C to generate.

References _nInitCAlea.

◆ getNParameters()

Int_t URANIE::UncertModeler::TCirce::getNParameters ( )

inline

Get the number of parameters.

References _nParameters.

◆ getNPatterns()

Int_t URANIE::UncertModeler::TCirce::getNPatterns ( )

inline

Get the number of patterns.

References _nPatterns.

◆ getNTDS()

Int_t URANIE::UncertModeler::TCirce::getNTDS ( )

Get the number of TDS.

References _listOfTDS.

◆ getSeed()

Int_t URANIE::UncertModeler::TCirce::getSeed ( )

inline

Returns the seed value.

References _nSeed.

◆ getTolerance()

Double_t URANIE::UncertModeler::TCirce::getTolerance ( )

inline

Get the Tolerance parameter.

References _dTol.

◆ init()

void URANIE::UncertModeler::TCirce::init ( Option_t * option = "" )

The init method.

References URANIE::UncertModeler::TUncertModeler::_blog, _listOfInformations, _listOfSensitivity, _listOfTDS, _matSensibility, _nPatterns, _vecDiff, _vecYStarVariance, and addBloc().

Referenced by estimate().

◆ initCMatrix()

TMatrixD URANIE::UncertModeler::TCirce::initCMatrix	(	Int_t	nrows,
		Double_t	dMulti
	)

Generate a ramdom finite positive matrix C.

References URANIE::UncertModeler::TUncertModeler::_blog.

Referenced by estimate().

◆ printLog()

void URANIE::UncertModeler::TCirce::printLog ( Option_t * option = "" )

virtual

Print the log of the class.

Reimplemented from URANIE::UncertModeler::TUncertModeler.

References _dLikelihood, _dTol, _listOfBloc, _listOfSensitivity, _matSensibility, _nCirceMethod, _nParameters, _nPatterns, _nSeed, _sCirceInputFile, _vecDiff, _vecYStarVariance, CIRCE_DIFF_ATTRIBUTE, kBiais, kBiaisBloc, kBiaisBlocBootstrap, kBiaisBlocCInitAlea, and URANIE::UncertModeler::TUncertModeler::printLog().

◆ printResults()

void URANIE::UncertModeler::TCirce::printResults ( Option_t * option = "" )

Print the results.

References _dLikelihood, _dTol, _listOfSensitivity, _matC, _matVarianceMu, _matVarianceSigma, _nCirceMethod, _nParameters, _nPatterns, _nSeed, _sCirceInputFile, _vecBiais, CIRCE_DIFF_ATTRIBUTE, kBiais, kBiaisBloc, kBiaisBlocBootstrap, and kBiaisBlocCInitAlea.

◆ readInputFile()

void URANIE::UncertModeler::TCirce::readInputFile	(	const char *	sfile = `""`,
		ECirceMethod	nCirceMethod = `kBiaisBloc`
	)

Set and Read the Circe Input File.

◆ setBVectorInitial()

void URANIE::UncertModeler::TCirce::setBVectorInitial ( TVectorD vec )

Set the initial vector B.

References URANIE::UncertModeler::TUncertModeler::_blog, and _vecInitialB.

◆ setCMatrixInitial()

void URANIE::UncertModeler::TCirce::setCMatrixInitial ( TMatrixD mat )

Set The initial Matrix C.

References URANIE::UncertModeler::TUncertModeler::_blog, and _matInitialC.

◆ setInputFile()

void URANIE::UncertModeler::TCirce::setInputFile ( const char * sfile )

Set the Circe Input File.

References _sCirceInputFile.

◆ setNCMatrix()

void URANIE::UncertModeler::TCirce::setNCMatrix ( Int_t n )

inline

Set the number of random matrix C to generate.

References _nInitCAlea.

◆ setSeed()

void URANIE::UncertModeler::TCirce::setSeed ( Int_t ind = 0 )

Init the seed.

If the value is zero, the seed is initialized with the hour in milliseconds

Parameters

ind	(Int_t) the seed value

References _nSeed.

Referenced by TCirce().

◆ setTolerance()

void URANIE::UncertModeler::TCirce::setTolerance ( Double_t dtol )

Set the tolerance parameter.

References URANIE::UncertModeler::TUncertModeler::_blog, and _dTol.

◆ terminate()

void URANIE::UncertModeler::TCirce::terminate ( Option_t * option = "" )

the terminate method

References URANIE::UncertModeler::TUncertModeler::_blog, _matC, _matSensibility, _matVarianceMu, _matVarianceSigma, _nParameters, _nPatterns, and _vecYStarVariance.

Referenced by estimate().

Member Data Documentation

◆ _dLikelihood

Double_t URANIE::UncertModeler::TCirce::_dLikelihood

protected

The Likelihood for the optimal parameter.

Referenced by estimate(), getLikelihood(), printLog(), and printResults().

◆ _dTol

Double_t URANIE::UncertModeler::TCirce::_dTol

protected

The tolerance to test the convergence (default 1e-5)

Referenced by estimate(), getTolerance(), printLog(), printResults(), and setTolerance().

◆ _listOfBloc

TList* URANIE::UncertModeler::TCirce::_listOfBloc

protected

The list of bloc (default NULL : when only one is as blias.f)

Referenced by addBloc(), printLog(), and ~TCirce().

◆ _listOfInformations

TList* URANIE::UncertModeler::TCirce::_listOfInformations

protected

The list of information for Circe.

Referenced by addData(), init(), and ~TCirce().

◆ _listOfSensitivity

TList* URANIE::UncertModeler::TCirce::_listOfSensitivity

protected

The list of sensitivity parameter.

Referenced by addBloc(), addData(), estimate(), init(), printLog(), printResults(), and ~TCirce().

◆ _listOfTDS

TList* URANIE::UncertModeler::TCirce::_listOfTDS

protected

The list of TDS which contain data.

Referenced by addData(), estimate(), getNTDS(), init(), and ~TCirce().

◆ _matC

TMatrixD URANIE::UncertModeler::TCirce::_matC

protected

The final matrix of Covariance.

Referenced by estimate(), getCMatrix(), printResults(), and terminate().

◆ _matCorrelation

TMatrixD URANIE::UncertModeler::TCirce::_matCorrelation

protected

The final matrix of correlation.

Referenced by estimate().

◆ _matInitialC

TMatrixD URANIE::UncertModeler::TCirce::_matInitialC

protected

The initial matrix of C.

Referenced by estimate(), getCMatrixInitial(), and setCMatrixInitial().

◆ _matSensibility

TMatrixD URANIE::UncertModeler::TCirce::_matSensibility

protected

The matrix of sensibility.

Referenced by estimate(), init(), printLog(), and terminate().

◆ _matVarianceMu

TMatrixD URANIE::UncertModeler::TCirce::_matVarianceMu

protected

The matrix of variance of mu computed Confidence Interval by the Fisher Matrix.

Referenced by getMatrixVarianceMu(), printResults(), and terminate().

◆ _matVarianceSigma

TMatrixD URANIE::UncertModeler::TCirce::_matVarianceSigma

protected

The matrix of variance of sigma computed Confidence Interval by the Fisher Matrix.

Referenced by getMatrixVarianceSigma(), printResults(), and terminate().

◆ _nCirceMethod

ECirceMethod URANIE::UncertModeler::TCirce::_nCirceMethod

protected

the Circe method from (kBiais, kBiaisBloc, kBiaisBlocCInitAlea, kBiaisBlocBootstrap)

Referenced by printLog(), and printResults().

◆ _nInitCAlea

Int_t URANIE::UncertModeler::TCirce::_nInitCAlea

protected

the number of Matrix C alea (default 1)

Referenced by estimate(), getNCMatrix(), and setNCMatrix().

◆ _nParameters

Int_t URANIE::UncertModeler::TCirce::_nParameters

protected

The number of parameters.

Referenced by addData(), getNParameters(), printLog(), printResults(), and terminate().

◆ _nPatterns

Int_t URANIE::UncertModeler::TCirce::_nPatterns

protected

The number of patterns.

Referenced by estimate(), getNPatterns(), init(), printLog(), printResults(), and terminate().

◆ _nSeed

Int_t URANIE::UncertModeler::TCirce::_nSeed

protected

the Seed of the random generator

Referenced by getSeed(), printLog(), printResults(), and setSeed().

◆ _sCirceInputFile

TString URANIE::UncertModeler::TCirce::_sCirceInputFile

protected

The input file of Circe.

Referenced by getInputFile(), printLog(), printResults(), and setInputFile().

◆ _vecBiais

TVectorD URANIE::UncertModeler::TCirce::_vecBiais

protected

The final vector of biais.

Referenced by estimate(), getBVector(), and printResults().

◆ _vecDiff

TVectorD URANIE::UncertModeler::TCirce::_vecDiff

protected

The vector Y = Texp - Ycode.

Referenced by estimate(), init(), and printLog().

◆ _vecInitialB

TVectorD URANIE::UncertModeler::TCirce::_vecInitialB

protected

The initial vector B.

Referenced by estimate(), getBVectorInitial(), and setBVectorInitial().

◆ _vecYStarVariance

TVectorD URANIE::UncertModeler::TCirce::_vecYStarVariance

protected

The vector of experimental variance.

Referenced by estimate(), init(), printLog(), and terminate().

Documentation / Developer's manual

Available modules

Public Types

Public Member Functions

Protected Attributes

Additional Inherited Members

Member Enumeration Documentation

◆ ECirceMethod

Constructor & Destructor Documentation

◆ TCirce()

◆ ~TCirce()

Member Function Documentation

◆ addBloc()

◆ addData()

◆ estimate()

◆ getBVector()

◆ getBVectorInitial()

◆ getCMatrix()

◆ getCMatrixInitial()

◆ getInputFile()

◆ getLikelihood()

◆ getMatrixVarianceMu()

◆ getMatrixVarianceSigma()

◆ getNCMatrix()

◆ getNParameters()

◆ getNPatterns()

◆ getNTDS()

◆ getSeed()

◆ getTolerance()

◆ init()

◆ initCMatrix()

◆ printLog()

◆ printResults()

◆ readInputFile()

◆ setBVectorInitial()

◆ setCMatrixInitial()

◆ setInputFile()

◆ setNCMatrix()

◆ setSeed()

◆ setTolerance()

◆ terminate()

Member Data Documentation

◆ _dLikelihood

◆ _dTol

◆ _listOfBloc

◆ _listOfInformations

◆ _listOfSensitivity

◆ _listOfTDS

◆ _matC

◆ _matCorrelation

◆ _matInitialC

◆ _matSensibility

◆ _matVarianceMu

◆ _matVarianceSigma

◆ _nCirceMethod

◆ _nInitCAlea

◆ _nParameters

◆ _nPatterns

◆ _nSeed

◆ _sCirceInputFile

◆ _vecBiais

◆ _vecDiff

◆ _vecInitialB

◆ _vecYStarVariance