#include <TPMCABC.h>

Inheritance diagram for URANIE::Calibration::TPMCABC:

Collaboration diagram for URANIE::Calibration::TPMCABC:

Public Member Functions
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)

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. More...

PMC ABC function
virtual void	setDistance (const char distName, URANIE::DataServer::TDataServer tdsRef, const char input, const char reference, const char *weight="")
	Set the distance function and some needed informations. More...

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

void	computeParameters (Option_t *option="")
	Generate the sample. More...

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. More...

	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 More...

	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. More...

	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. More...

virtual	~TABC ()
	Default destructor. More...

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. More...

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

double	getThreshold ()
	Get the posterior tds. More...

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. More...

	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. More...

	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. More...

	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. More...

virtual	~TCalibration ()
	Default destructor. More...

virtual void	setDistanceAndLikelihood (const char Name, URANIE::DataServer::TDataServer tdsRef, const char input, const char reference, const char *weight="")
	Set the distance or likelihood function and some needed informations. More...

virtual void	setDistanceAndLikelihood (URANIE::Calibration::TDistanceLikelihoodFunction Func, URANIE::DataServer::TDataServer tdsRef, const char input, const char reference, const char *weight="")
	Set the distance of likelihood function and some needed informations. More...

void	estimateParameters (Option_t *option="")

void	estimateCustomResiduals (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. More...

virtual void	drawParameters (TString sTitre, const char variable="", Option_t *option="")

void	drawResiduals (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. More...

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

const char *	getMethodName ()
	Get the method name. More...

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

URANIE::Calibration::TDistanceLikelihoodFunction *	getDistanceLikelihoodFunction ()
	Return the distance or likelihood function. More...

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

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

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

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

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

vector< double >	_vEpsilon
	Vector of the thresholds. More...

TMatrixD	_Sigmat
	Sqrt covariance matrix. More...

int	_kStep
	Iterator of steps. More...

int	_nSteps
	Number of steps. More...

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

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

Public Attributes inherited from URANIE::Calibration::TCalibration
URANIE::DataServer::TDataServer *	_tdsPar
	TDS containing parameters properties (parameters that should be calibrated) More...

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

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

ELauncher	_nLauncher
	The type of launcher. More...

TString	_sFunctionName
	The Name of the evaluatuor. More...

TString	_sEI
	The Name of input. More...

TString	_sEO
	The Name of output. More...

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

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

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

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

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. More...

void	initInputs ()
	Initialise some common inputs. More...

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

void	computeAPosterioriForDistribution (URANIE::DataServer::TDataServer *tds_chain_i)
	Compute the a posteriori residual for many-solutions method. More...

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

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

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::TDistanceLikelihoodFunction *	_dFunc
	Pointer to chosen distance or likelihood function. More...

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

TList *	_listOfParameters
	List of the parameters to be calibrated. More...

TCanvas *	_canvas
	Canvas object to deal with. More...

TObjArray *	_drawingGarbageCollector
	Garbage collector for prints. More...

int	_nSam
	The number of sample in a posteriori distributions. More...

int	_nObs
	The number of observations in the reference database. More...

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

int	_nPar
	Dimension of the parameters. More...

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

int	_nSeed = 0
	The seed of the random generator (initialized to 0 = random seed) More...

TString	_sMethodName
	The method name. More...

TString	_referenceName
	The reference name. More...

TString	_outputName
	The output name. More...

vector< string >	_vrefName
	The reference names. More...

vector< string >	_voutName
	The output names. More...

TString	_weightName
	The weight name. More...

TMatrixD	_mObsCovMat
	Observation Covariance matrix. More...

bool	_buseMatrix
	Use matrix instead of vectors in the TDistanceLikelihoodFunction. More...

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

bool	_bdontKeepAgreement
	Remove the agreement attribute from the tdsPar object. More...

bool	_buseMode
	Use Mode instead of Mean. More...

Bool_t	_blog
	Boolean for edit the log. More...

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().

◆ setDistance() [1/2]

virtual void URANIE::Calibration::TPMCABC::setDistance	(	const char *	distName,
		URANIE::DataServer::TDataServer *	tdsRef,
		const char *	input,
		const char *	reference,
		const char *	weight = `""`
	)

virtual

Set the distance function and some needed informations.

Parameters

distName	name of the distance function chosen among the already implemented ones: "LS" for least squares distance function "weighterLS" for weighted least squares distance function "relativeLS" for relative least squares distance function "L1" for L1 distance function "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 from URANIE::Calibration::TABC.

Referenced by ClassImp().

◆ setDistance() [2/2]

virtual void URANIE::Calibration::TPMCABC::setDistance	(	URANIE::Calibration::TDistanceLikelihoodFunction *	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 TDistanceLikelihoodFunction object (not usual, recommended only when dealing with a home-made distance or likelihood 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 from URANIE::Calibration::TABC.

◆ 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 / Manuel développeur

Modules disponibles

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()

◆ setDistance() [1/2]

◆ setDistance() [2/2]

◆ setNSteps()

◆ setThresholds()

Member Data Documentation

◆ _frequencies

◆ _indices

◆ _kStep

◆ _nSteps

◆ _Sigmat

◆ _tdsParStep

◆ _vEpsilon