A class for creating a RooFit-based slave process for simultaneous/combined fits. More...

#include <LauRooFitSlave.hh>

Inheritance diagram for LauRooFitSlave:

Public Member Functions
	LauRooFitSlave (RooAbsPdf &model, const Bool_t extended, const RooArgSet &vars, const TString &weightVarName="")
	Constructor. More...

virtual	~LauRooFitSlave ()
	Destructor. More...

virtual void	initialise ()
	Initialise the fit model. More...

virtual void	setParsFromMinuit (Double_t *par, Int_t npar)
	This function sets the parameter values from Minuit. More...

virtual Double_t	getTotNegLogLikelihood ()
	Calculates the total negative log-likelihood. More...

Public Member Functions inherited from LauSimFitSlave
	LauSimFitSlave ()
	Constructor. More...

virtual	~LauSimFitSlave ()
	Destructor. More...

UInt_t	nSlaves () const
	Obtain the number of slaves. More...

UInt_t	slaveId () const
	Obtain the ID number of this slave. More...

virtual void	runSlave (const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileName="", const TString &addressMaster="localhost", const UInt_t portMaster=9090)
	Start the slave process for simultaneous fitting. More...

Public Member Functions inherited from LauFitObject
virtual	~LauFitObject ()
	Destructor. More...

void	useAsymmFitErrors (Bool_t useAsymmErrors)
	Turn on or off the computation of asymmetric errors (e.g. MINOS routine in Minuit) More...

Bool_t	useAsymmFitErrors () const
	Report whether or not calculation of asymmetric errors is enabled. More...

void	twoStageFit (Bool_t doTwoStageFit)
	Turn on or off the two stage fit. More...

Bool_t	twoStageFit () const
	Report whether the two-stage fit is enabled. More...

virtual void	withinAsymErrorCalc (const Bool_t inAsymErrCalc)
	Mark that the fit is calculating asymmetric errors. More...

Bool_t	withinAsymErrorCalc () const
	Query whether the fit is calculating the asymmetric errors. More...

void	setNExpts (UInt_t nExperiments, UInt_t firstExperiment=0)
	Set the number of experiments and the first experiment. More...

UInt_t	eventsPerExpt () const
	Obtain the total number of events in the current experiment. More...

UInt_t	nExpt () const
	Obtain the number of experiments. More...

UInt_t	firstExpt () const
	Obtain the number of the first experiment. More...

UInt_t	iExpt () const
	Obtain the number of the current experiment. More...

virtual void	addConstraint (const TString &formula, const std::vector< TString > &pars, const Double_t mean, const Double_t width)
	Store constraint information for fit parameters. More...

Protected Member Functions
virtual void	prepareInitialParArray (TObjArray &array)
	Package the initial fit parameters for transmission to the master. More...

LauParameter *	convertToLauParameter (const RooRealVar *rooParameter) const
	Convert a RooRealVar into a LauParameter. More...

std::vector< std::pair < RooRealVar , LauParameter > >	convertToLauParameters (const RooFormulaVar *rooFormula) const
	Convert a RooFormulaVar into LauParameters. More...

virtual void	finaliseExperiment (const LauAbsFitter::FitStatus &fitStat, const TObjArray parsFromMaster, const TMatrixD covMat, TObjArray &parsToMaster)
	Perform all finalisation actions. More...

virtual Bool_t	verifyFitData (const TString &dataFileName, const TString &dataTreeName)
	Open the input file and verify that all required variables are present. More...

virtual UInt_t	readExperimentData ()
	Read in the data for the current experiment. More...

virtual void	cacheInputFitVars ()
	Cache the input data values to calculate the likelihood during the fit. More...

Protected Member Functions inherited from LauSimFitSlave
const LauFitNtuple *	fitNtuple () const
	Const access to the fit ntuple. More...

LauFitNtuple *	fitNtuple ()
	Access to the fit ntuple. More...

void	connectToMaster (const TString &addressMaster, const UInt_t portMaster)
	Establish the connection to the master process. More...

void	processMasterRequests ()
	Listen for requests from the master and act accordingly. More...

virtual void	setupResultsOutputs (const TString &histFileName, const TString &tableFileName)
	Setup saving of fit results to ntuple/LaTeX table etc. More...

virtual void	writeOutAllFitResults ()
	Write out any fit results. More...

Protected Member Functions inherited from LauFitObject
	LauFitObject ()
	Constructor. More...

const std::vector < StoreConstraints > &	constraintsStore () const
	Const access to the constraints store. More...

std::vector< StoreConstraints > &	constraintsStore ()
	Access to the constraints store. More...

void	resetFitCounters ()
	Reset the good/bad fit counters. More...

void	setCurrentExperiment (const UInt_t curExpt)
	Set the ID of the current experiment. More...

void	startNewFit (const UInt_t nPars, const UInt_t nFreePars)
	Indicate the start of a new fit. More...

void	eventsPerExpt (UInt_t nEvents)
	Set the number of events in the current experiment. More...

Double_t	worstLogLike () const
	Access the worst log likelihood found so far. More...

void	worstLogLike (const Double_t newWorstLogLike)
	Set a new value for the worst log likelihood. More...

void	storeFitStatus (const LauAbsFitter::FitStatus &status, const TMatrixD &covMatrix)
	Store fit status information. More...

UInt_t	nTotParams () const
	Access the total number of fit parameters. More...

UInt_t	nFreeParams () const
	Access the total number of fit parameters. More...

const LauAbsFitter::FitStatus &	fitStatus () const
	Access the fit status information. More...

Double_t	nll () const
	Access the current NLL value. More...

Double_t	edm () const
	Access the current EDM value. More...

Int_t	statusCode () const
	Access the fit status code. More...

const TMatrixD &	covarianceMatrix () const
	Access the fit covariance matrix. More...

UInt_t	numberOKFits () const
	Access the number of successful fits. More...

UInt_t	numberBadFits () const
	Access the number of failed fits. More...

Private Member Functions
void	cleanData ()
	Cleanup the data. More...

	LauRooFitSlave (const LauRooFitSlave &rhs)
	Copy constructor (not implemented) More...

LauRooFitSlave &	operator= (const LauRooFitSlave &rhs)
	Copy assignment operator (not implemented) More...

	ClassDef (LauRooFitSlave, 0)

Private Attributes
RooAbsPdf &	model_
	The model. More...

RooArgSet	dataVars_
	The dataset variables. More...

TString	weightVarName_
	The name of the (optional) weight variable in the dataset. More...

TFile *	dataFile_
	The data file. More...

TTree *	dataTree_
	The data tree. More...

RooAbsData *	exptData_
	The data for the current experiment. More...

const Bool_t	extended_
	Is the PDF extended? More...

RooCategory	iExptCat_
	The experiment category variable. More...

RooNLLVar *	nllVar_
	The NLL variable. More...

std::vector< RooRealVar * >	fitVars_
	The fit parameters (as RooRealVar's) More...

std::vector< LauParameter * >	fitPars_
	The fit parameters (as LauParameter's) More...

Detailed Description

A class for creating a RooFit-based slave process for simultaneous/combined fits.

Implementation of the JFit method described in arXiv:1409.5080 [physics.data-an].

Definition at line 53 of file LauRooFitSlave.hh.

Constructor & Destructor Documentation

LauRooFitSlave::LauRooFitSlave	(	RooAbsPdf &	model,
		const Bool_t	extended,
		const RooArgSet &	vars,
		const TString &	weightVarName = `""`
	)

Constructor.

Definition at line 47 of file LauRooFitSlave.cc.

LauRooFitSlave::~LauRooFitSlave ( )

virtual

Destructor.

Definition at line 61 of file LauRooFitSlave.cc.

LauRooFitSlave::LauRooFitSlave ( const LauRooFitSlave & rhs )

private

Copy constructor (not implemented)

Member Function Documentation

void LauRooFitSlave::cacheInputFitVars ( )

protectedvirtual

Cache the input data values to calculate the likelihood during the fit.

Implements LauSimFitSlave.

Definition at line 332 of file LauRooFitSlave.cc.

LauRooFitSlave::ClassDef	(	LauRooFitSlave	,
		0
	)

private

void LauRooFitSlave::cleanData ( )

private

Cleanup the data.

Definition at line 67 of file LauRooFitSlave.cc.

LauParameter * LauRooFitSlave::convertToLauParameter ( const RooRealVar * rooParameter ) const

protected

Convert a RooRealVar into a LauParameter.

Parameters

[in] rooParameter the RooRealVar to be converted

Returns: the newly created LauParameter

Definition at line 222 of file LauRooFitSlave.cc.

std::vector< std::pair< RooRealVar *, LauParameter * > > LauRooFitSlave::convertToLauParameters ( const RooFormulaVar * rooFormula ) const

protected

Convert a RooFormulaVar into LauParameters.

Parameters

[in] rooFormula the RooFormulaVar to be converted

Returns: the vector of pointers to the RooRealVars and newly created LauParameters

Definition at line 227 of file LauRooFitSlave.cc.

void LauRooFitSlave::finaliseExperiment	(	const LauAbsFitter::FitStatus &	fitStat,
		const TObjArray *	parsFromMaster,
		const TMatrixD *	covMat,
		TObjArray &	parsToMaster
	)

protectedvirtual

Perform all finalisation actions.

Receive the results of the fit from the master
Perform any finalisation routines
Package the finalised fit parameters for transmission back to the master

Parameters

[in]	fitStat	the status of the fit, e.g. status code, EDM, NLL
[in]	parsFromMaster	the parameters at the fit minimum
[in]	covMat	the fit covariance matrix
[out]	parsToMaster	the array to be filled with the finalised LauParameter objects

Implements LauSimFitSlave.

Definition at line 341 of file LauRooFitSlave.cc.

Double_t LauRooFitSlave::getTotNegLogLikelihood ( )

virtual

Calculates the total negative log-likelihood.

Implements LauSimFitSlave.

Definition at line 266 of file LauRooFitSlave.cc.

void LauRooFitSlave::initialise ( )

virtual

Initialise the fit model.

Implements LauSimFitSlave.

Definition at line 79 of file LauRooFitSlave.cc.

LauRooFitSlave& LauRooFitSlave::operator= ( const LauRooFitSlave & rhs )

private

Copy assignment operator (not implemented)

void LauRooFitSlave::prepareInitialParArray ( TObjArray & array )

protectedvirtual

Package the initial fit parameters for transmission to the master.

Parameters

[out] array the array to be filled with the LauParameter objects

Implements LauSimFitSlave.

Definition at line 157 of file LauRooFitSlave.cc.

UInt_t LauRooFitSlave::readExperimentData ( )

protectedvirtual

Read in the data for the current experiment.

Returns: the number of events read in

Implements LauSimFitSlave.

Definition at line 302 of file LauRooFitSlave.cc.

void LauRooFitSlave::setParsFromMinuit	(	Double_t *	par,
		Int_t	npar
	)

virtual

This function sets the parameter values from Minuit.

Parameters

[in]	par	an array storing the various parameter values
[in]	npar	the number of free parameters

Implements LauSimFitSlave.

Definition at line 272 of file LauRooFitSlave.cc.

Bool_t LauRooFitSlave::verifyFitData	(	const TString &	dataFileName,
		const TString &	dataTreeName
	)

protectedvirtual

Open the input file and verify that all required variables are present.

Parameters

[in]	dataFileName	the name of the input file
[in]	dataTreeName	the name of the input tree

Implements LauSimFitSlave.

Definition at line 100 of file LauRooFitSlave.cc.

Member Data Documentation

TFile* LauRooFitSlave::dataFile_

private

The data file.

Definition at line 146 of file LauRooFitSlave.hh.

TTree* LauRooFitSlave::dataTree_

private

The data tree.

Definition at line 149 of file LauRooFitSlave.hh.

RooArgSet LauRooFitSlave::dataVars_

private

The dataset variables.

Definition at line 140 of file LauRooFitSlave.hh.

RooAbsData* LauRooFitSlave::exptData_

private

The data for the current experiment.

Definition at line 152 of file LauRooFitSlave.hh.

const Bool_t LauRooFitSlave::extended_

private

Is the PDF extended?

Definition at line 155 of file LauRooFitSlave.hh.

std::vector<LauParameter*> LauRooFitSlave::fitPars_

private

The fit parameters (as LauParameter's)

Definition at line 167 of file LauRooFitSlave.hh.

std::vector<RooRealVar*> LauRooFitSlave::fitVars_

private

The fit parameters (as RooRealVar's)

Definition at line 164 of file LauRooFitSlave.hh.

RooCategory LauRooFitSlave::iExptCat_

private

The experiment category variable.

Definition at line 158 of file LauRooFitSlave.hh.

RooAbsPdf& LauRooFitSlave::model_

private

The model.

Definition at line 137 of file LauRooFitSlave.hh.

RooNLLVar* LauRooFitSlave::nllVar_

private

The NLL variable.

Definition at line 161 of file LauRooFitSlave.hh.

TString LauRooFitSlave::weightVarName_

private

The name of the (optional) weight variable in the dataset.

Definition at line 143 of file LauRooFitSlave.hh.

The documentation for this class was generated from the following files:

inc/LauRooFitSlave.hh
src/LauRooFitSlave.cc

Public Member Functions

Protected Member Functions

Private Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation