#include <TPMCABC.h>

Inheritance diagram for URANIE::Calibration::TPMCABC:

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Collaboration diagram for URANIE::Calibration::TPMCABC:

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Public Member Functions
Constructor and Destructor
	TPMCABC (URANIE::DataServer::TDataServer tds, URANIE::Relauncher::TRun run, int ns=1, Option_t *option="")

	TPMCABC (URANIE::DataServer::TDataServer tds, void(fcn)(Double_t , Double_t ), const char varexpinput, const char varexpoutput, int ns=100, Option_t *option="")

	TPMCABC (URANIE::DataServer::TDataServer tds, const char fcn, const char varexpinput, const char varexpoutput, int ns=100, Option_t *option="")

	TPMCABC (URANIE::DataServer::TDataServer tds, URANIE::Launcher::TCode fcode, int ns=1, Option_t *option="")

virtual	~TPMCABC ()
	Default destructor.

PMC ABC function
void	computeParameters (Option_t *option="")
	Generate the sample.

void	initPMCABC ()

void	generateNewSample ()

double	pdfGaussianMultivariate (TMatrixD X, TMatrixD MU, TMatrixD Sigma)

int	getNSteps ()

URANIE::DataServer::TDataServer *	getTdsStep ()

void	setThresholds (vector< double > vectTh)

void	setNSteps (int steps)

Public Member Functions inherited from URANIE::Calibration::TABC
	TABC (URANIE::DataServer::TDataServer tds, URANIE::Relauncher::TRun run, int ns=100, Option_t *option="")
	Default ABC constructor with the runner argument: it contains the assessor to be used.

	TABC (URANIE::DataServer::TDataServer tds, void(fcn)(Double_t , Double_t ), const char varexpinput, const char varexpoutput, int ns=100, Option_t *option="")
	Default ABC constructor with the function argument: it contains the assessor to be used

	TABC (URANIE::DataServer::TDataServer tds, const char fcn, const char varexpinput, const char varexpoutput, int ns=100, Option_t *option="")
	Default ABC constructor with the function argument: it contains the assessor to be used.

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

virtual	~TABC ()
	Default destructor.

void	initABC ()

void	setUpABC ()

void	computeABC (int nEval)

void	computeABCscore (Double_t newEpsilon)

void	posteriorToPar ()

void	checktdsParContent ()

void	setGaussianNoise (const char *stdname)

void	setPercentile (Double_t eps)
	Set the percentile.

URANIE::DataServer::TDataServer *	getTdsPosterior ()
	Get the posterior tds.

double	getThreshold ()
	Get the posterior tds

int	getNEval ()

Public Member Functions inherited from 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.

	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.

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.

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.

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="")

void	setLog ()

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

virtual void	printLog (Option_t *option="")

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.

Public Attributes
URANIE::DataServer::TDataServer *	_tdsParStep
	Pointer of the intermediate TDS.

vector< double >	_frequencies
	Vector of the frequencies for sampling.

vector< double >	_indices
	Vector of possible indices for sampling.

vector< double >	_vEpsilon
	Vector of the thresholds.

TMatrixD	_Sigmat
	Sqrt covariance matrix.

int	_kStep
	Iterator of steps.

int	_nSteps
	Number of steps.

Public Attributes inherited from URANIE::Calibration::TABC
vector< double >	_values

URANIE::DataServer::TDataServer *	_tdsPosterior
	TDS containing posterior members for calibration.

Public Attributes inherited from URANIE::Calibration::TCalibration
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

Additional Inherited Members
Public Types inherited from URANIE::Calibration::TCalibration
enum	ELauncher { kCode , kFunction , kRun , kUnknown }

Protected Member Functions inherited from URANIE::Calibration::TCalibration
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.

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

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

Protected Attributes inherited from URANIE::Calibration::TABC
double	_threshold

Int_t	_kPosterior

Int_t	_kEval

TRandom3 *	_rand

Bool_t	_boolEpsilon

Double_t	_Epsilon

Protected Attributes inherited from URANIE::Calibration::TCalibration
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.

Constructor & Destructor Documentation

◆ TPMCABC() [1/4]

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

Constructor of PMC ABC where nABC is set to be the number of the produced a posteriori sample.

Parameters

tds	the pointer of the TDataServer. It must contains attribuutes that inherit from TStochasticAttribute
run	the runner that would be used to produce evaluations
nABC	size of a posteriori sample [100 by default], by default also size of the sample evaluated at each bloc,

Referenced by ClassImp().

◆ TPMCABC() [2/4]

URANIE::Calibration::TPMCABC::TPMCABC	(	URANIE::DataServer::TDataServer *	tds,
		void()(Double_t , Double_t *)	fcn,
		const char *	varexpinput,
		const char *	varexpoutput,
		int	ns = `100`,
		Option_t *	option = `""`
	)

Constructor of PMC ABC where nABC is set to be the number of the produced a posteriori sample.

Parameters

tds	the pointer of the TDataServer. It must contains attribuutes that inherit from TStochasticAttribute
fcn	the function that would be used to produce evaluations
nABC	size of a posteriori sample [100 by default], by default also size of the sample evaluated at each bloc,

◆ TPMCABC() [3/4]

URANIE::Calibration::TPMCABC::TPMCABC	(	URANIE::DataServer::TDataServer *	tds,
		const char *	fcn,
		const char *	varexpinput,
		const char *	varexpoutput,
		int	ns = `100`,
		Option_t *	option = `""`
	)

Constructor of PMC ABC where nABC is set to be the number of the produced a posteriori sample.

Parameters

tds	the pointer of the TDataServer. It must contains attribuutes that inherit from TStochasticAttribute
fcn	the function that would be used to produce evaluations
nABC	size of a posteriori sample [100 by default], by default also size of the sample evaluated at each bloc,

◆ TPMCABC() [4/4]

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

Constructor of PMC ABC where nABC is set to be the number of the produced a posteriori sample.

Parameters

tds	the pointer of the TDataServer. It must contains attribuutes that inherit from TStochasticAttribute
code	the code that would be used to produce evaluations
nABC	size of a posteriori sample [100 by default], by default also size of the sample evaluated at each bloc,

◆ ~TPMCABC()

virtual URANIE::Calibration::TPMCABC::~TPMCABC ( )

virtual

Default destructor.

Referenced by ClassImp().

Member Function Documentation

◆ computeParameters()

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

virtual

Generate the sample.

Parameters

option

possble options are

"clean": remove internal branche from the tdsPar object at the end
"gd": another implementation of this algorithm

Implements URANIE::Calibration::TCalibration.

Referenced by ClassImp().

◆ generateNewSample()

void URANIE::Calibration::TPMCABC::generateNewSample ( )

Referenced by ClassImp().

◆ getNSteps()

int URANIE::Calibration::TPMCABC::getNSteps ( )

inline

References _nSteps.

◆ getTdsStep()

URANIE::DataServer::TDataServer * URANIE::Calibration::TPMCABC::getTdsStep ( )

inline

References _tdsParStep.

◆ initPMCABC()

void URANIE::Calibration::TPMCABC::initPMCABC ( )

Referenced by ClassImp().

◆ pdfGaussianMultivariate()

double URANIE::Calibration::TPMCABC::pdfGaussianMultivariate	(	TMatrixD	X,
		TMatrixD	MU,
		TMatrixD	Sigma
	)

Referenced by ClassImp().

◆ setNSteps()

void URANIE::Calibration::TPMCABC::setNSteps ( int steps )

inline

References _nSteps.

◆ setThresholds()

void URANIE::Calibration::TPMCABC::setThresholds ( vector< double > vectTh )

inline

References _nSteps, and _vEpsilon.

Member Data Documentation

◆ _frequencies

vector<double> URANIE::Calibration::TPMCABC::_frequencies

Vector of the frequencies for sampling.

Referenced by ClassImp().

◆ _indices

vector<double> URANIE::Calibration::TPMCABC::_indices

Vector of possible indices for sampling.

Referenced by ClassImp().

◆ _kStep

int URANIE::Calibration::TPMCABC::_kStep

Iterator of steps.

Referenced by ClassImp().

◆ _nSteps

int URANIE::Calibration::TPMCABC::_nSteps

Number of steps.

Referenced by ClassImp(), getNSteps(), setNSteps(), and setThresholds().

◆ _Sigmat

TMatrixD URANIE::Calibration::TPMCABC::_Sigmat

Sqrt covariance matrix.

Referenced by ClassImp().

◆ _tdsParStep

URANIE::DataServer::TDataServer* URANIE::Calibration::TPMCABC::_tdsParStep

Pointer of the intermediate TDS.

Referenced by ClassImp(), and getTdsStep().

◆ _vEpsilon

vector<double> URANIE::Calibration::TPMCABC::_vEpsilon

Vector of the thresholds.

Referenced by ClassImp(), and setThresholds().

Documentation / Developer's manual

Available modules

Public Member Functions

Public Attributes

Additional Inherited Members

Constructor & Destructor Documentation

◆ TPMCABC() [1/4]

◆ TPMCABC() [2/4]

◆ TPMCABC() [3/4]

◆ TPMCABC() [4/4]

◆ ~TPMCABC()

Member Function Documentation

◆ computeParameters()

◆ generateNewSample()

◆ getNSteps()

◆ getTdsStep()

◆ initPMCABC()

◆ pdfGaussianMultivariate()

◆ setNSteps()

◆ setThresholds()

Member Data Documentation

◆ _frequencies

◆ _indices

◆ _kStep

◆ _nSteps

◆ _Sigmat

◆ _tdsParStep

◆ _vEpsilon