URANIE::Sampler::TEllipticalCopula Class Reference

Description of the class TEllipticalCopula. More...

#include <TEllipticalCopula.h>

Inheritance diagram for URANIE::Sampler::TEllipticalCopula:

Collaboration diagram for URANIE::Sampler::TEllipticalCopula:

Public Member Functions
Constructor and Destructor
	TEllipticalCopula (URANIE::DataServer::TDataServer *tds, Option_t *option, Int_t nCalcul)
	Default constructor. More...
virtual	~TEllipticalCopula ()
	Default destructor. More...
Correlation matrix
Methods to specify correlation between attributes
void	setUserCorrelation (Int_t indx, Int_t indy, double value)
	Defines a correlation between two attributes given by their indexes. More...
void	setUserCorrelation (TString xname, TString yname, double value)
	Defines a correlation between two attributes given by their names. More...
void	setUserCorrelation (URANIE::DataServer::TAttribute *x, URANIE::DataServer::TAttribute *y, Double_t value)
	Defines a correlation between two attributes. More...
TMatrixD	getCorrelationMatrix ()
	Retrieve the correlation matrix. More...
Printing Log
virtual void	printLog (Option_t *option="")
	Prints the log. More...
Public Member Functions inherited from URANIE::Sampler::TCopula
	TCopula (URANIE::DataServer::TDataServer *tds, Option_t *option, Int_t nCalcul)
	Constructor with a TDataServer, the options and the size of the sample. More...
virtual	~TCopula ()
	Default destructor. More...
void	generateSample (Option_t *option="")
	Generates the sample. More...
virtual void	generateUMatrix (Option_t *option)=0
	Generates the matrix of U. More...
Public Member Functions inherited from URANIE::Sampler::TSamplerStochastic
	TSamplerStochastic (URANIE::DataServer::TDataServer *tds, Option_t *option, Int_t nCalcul)
	Constructor with a dataserver. More...
virtual	~TSamplerStochastic ()
	Default destructor. More...
void	setSeed (Int_t ind=0)
	Init the seed. More...
Int_t	getSeed ()
	Returns the seed value. More...
Public Member Functions inherited from URANIE::Sampler::TSampler
	TSampler (URANIE::DataServer::TDataServer *tds, Option_t *option, Int_t nCalcul)
	Constructor with a TDataServer, the options and the size of the sample. More...
virtual	~TSampler ()
	Default destructor. More...
Int_t	GetID ()
	Returns the ID of the class. More...
void	setMethodName (TString str)
	Sets the method name in a global variable. More...
TString	getMethodName ()
	Gets the method name. More...
virtual URANIE::DataServer::TDataServer *	getTDS ()
	Return the TDS filling by the sampling algorithm. More...
void	parseOption (Option_t *option)
	Parse the option. More...
virtual void	createListOfAttributes ()
	Creates the List of attributes to simulate. More...
virtual void	createTuple ()
	Creates the TDSNtupleD of data with only the TStochasticAttributes. More...
URANIE::DataServer::TDSNtupleD *	getTuple ()
	Returns the TDSNtupleD of data. More...
virtual void	fillOtherAttributes ()
	Fills the TDSNtupleD of data with other TFormulaAttributes. More...
void	setLog ()
void	unsetLog ()
void	changeLog ()
Bool_t	getLog ()

Public Attributes
TMatrixD	_matCorrelation
	The correlation matrix. More...
Public Attributes inherited from URANIE::Sampler::TCopula
TMatrixD	_matUValue
	The matrix of U values. More...
Public Attributes inherited from URANIE::Sampler::TSampler
Int_t	_nS
	The size of the sample. More...
Int_t	_nX
	The size of attributes to sample. More...
URANIE::DataServer::TDSNtupleD *	_ntsample
	the tntuple of data More...
TString	_sMethod
	The title of the sampler method. More...
Bool_t	_blog
	Log Printing. More...
Bool_t	_bupdateFile
	Update the back up file when generating the attributeformula if there is some. More...
URANIE::DataServer::TDataServer *	_tds
	Pointer to a TDS. More...
TList *	_lstOfAttributesToSample
	The list of Stochastic Attributes to sample. More...

Additional Inherited Members
Protected Member Functions inherited from URANIE::Sampler::TSamplerStochastic
virtual void	init ()
	The preprocessing step. More...
virtual void	terminate ()
	The post-processing step. More...
Protected Attributes inherited from URANIE::Sampler::TSamplerStochastic
Int_t	_nSeed

Detailed Description

Description of the class TEllipticalCopula.

this familly of copula contains Gaussian and Student copulae.

Constructor & Destructor Documentation

TEllipticalCopula()

URANIE::Sampler::TEllipticalCopula::TEllipticalCopula	(	URANIE::DataServer::TDataServer *	tds,
		Option_t *	option,
		Int_t	nCalcul
	)

Default constructor.

Referenced by ClassImp().

~TEllipticalCopula()

virtual URANIE::Sampler::TEllipticalCopula::~TEllipticalCopula ( )

virtual

Default destructor.

Referenced by ClassImp().

Member Function Documentation

getCorrelationMatrix()

TMatrixD URANIE::Sampler::TEllipticalCopula::getCorrelationMatrix ( )

inline

Retrieve the correlation matrix.

References _matCorrelation.

printLog()

virtual void URANIE::Sampler::TEllipticalCopula::printLog ( Option_t *  option = "" )

virtual

Prints the log.

Reimplemented from URANIE::Sampler::TCopula.

Reimplemented in URANIE::Sampler::TGaussianCopula.

Referenced by ClassImp().

setUserCorrelation() [1/3]

void URANIE::Sampler::TEllipticalCopula::setUserCorrelation	(	Int_t	indx,
		Int_t	indy,
		double	value
	)

Defines a correlation between two attributes given by their indexes.

Warning

The indexes begin 0 to n-1.

Parameters

indx	(Int_t) the index of the first attribute
indy	(Int_t) the index of the second attribute
value	(Double_t) the correlation factor between the two attributes

Referenced by ClassImp().

setUserCorrelation() [2/3]

void URANIE::Sampler::TEllipticalCopula::setUserCorrelation	(	TString	xname,
		TString	yname,
		double	value
	)

Defines a correlation between two attributes given by their names.

Parameters

xname	(TString) the first attribute
yname	(TString) the second attribute
value	(Double_t) the correlation factor between x and y

setUserCorrelation() [3/3]

void URANIE::Sampler::TEllipticalCopula::setUserCorrelation	(	URANIE::DataServer::TAttribute *	x,
		URANIE::DataServer::TAttribute *	y,
		Double_t	value
	)

Defines a correlation between two attributes.

The correlation factor is define as the

Parameters

x	(URANIE::DataServer::TAttribute *) the first attribute
y	(URANIE::DataServer::TAttribute *) the second attribute
value	(Double_t) the correlation factor between x and y

Member Data Documentation

_matCorrelation

TMatrixD URANIE::Sampler::TEllipticalCopula::_matCorrelation

The correlation matrix.

Referenced by ClassImp(), and getCorrelationMatrix().