Abstract interface to the fitting and toy MC model. More...

#include <LauAbsFitModel.hh>

Inheritance diagram for LauAbsFitModel:

Classes
struct	StoreConstraints
	Struct to store constraint information until the fit is run. More...

Public Member Functions
	LauAbsFitModel ()
	Constructor. More...

virtual	~LauAbsFitModel ()
	Destructor. More...

Bool_t	useDP () const
	Is the Dalitz plot term in the likelihood. More...

void	useDP (Bool_t usingDP)
	Switch on/off the Dalitz plot term in the Likelihood (allows fits to other quantities, e.g. B mass) More...

Bool_t	doSFit () const
	Return the flag to store the status of using an sFit or not. More...

void	doSFit (const TString &sWeightBranchName, Double_t scaleFactor=1.0)
	Do an sFit (use sWeights to isolate signal decays rather than using background histograms) More...

Bool_t	doEMLFit () const
	Determine whether an extended maximum likelihood fit it being performed. More...

void	doEMLFit (Bool_t emlFit)
	Choice to perform an extended maximum likelihood fit. More...

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

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

Bool_t	useAsymmFitErrors () const
	Determine whether calculation of asymmetric errors is enabled. More...

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

Bool_t	doPoissonSmearing () const
	Determine whether Poisson smearing is enabled for the toy MC generation. More...

void	doPoissonSmearing (Bool_t poissonSmear)
	Turn Poisson smearing (for the toy MC generation) on or off. More...

Bool_t	enableEmbedding () const
	Determine whether embedding of events is enabled in the generation. More...

void	enableEmbedding (Bool_t enable)
	Turn on or off embedding of events in the generation. More...

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

Bool_t	writeLatexTable () const
	Determine whether writing out of the latex table is enabled. More...

void	writeLatexTable (Bool_t writeTable)
	Turn on or off the writing out of the latex table. More...

void	writeSPlotData (const TString &fileName, const TString &treeName, Bool_t storeDPEfficiency, const TString &verbosity="q")
	Set up the sPlot ntuple. More...

Bool_t	writeSPlotData () const
	Determine whether the sPlot data is to be written out. More...

Bool_t	storeDPEff () const
	Determine whether the efficiency information should be stored in the sPlot ntuple. More...

Bool_t	useRandomInitFitPars () const
	Determine whether the initial values of the fit parameters, in particular the isobar coefficient parameters, are to be randomised. More...

void	useRandomInitFitPars (Bool_t boolean)
	Randomise the initial values of the fit parameters, in particular the isobar coefficient parameters. 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	setBkgndClassNames (const std::vector< TString > &names)
	Setup the background class names. More...

UInt_t	nBkgndClasses () const
	Returns the number of background classes. More...

virtual void	setNSigEvents (LauParameter *nSigEvents)=0
	Set the number of signal events. More...

virtual void	setNBkgndEvents (LauParameter *nBkgndEvents)=0
	Set the number of background events. More...

virtual void	setAmpCoeffSet (LauAbsCoeffSet *coeffSet)=0
	Set the DP amplitude coefficients. More...

void	compareFitData (UInt_t toyMCScale=10, const TString &mcFileName="fitToyMC.root", const TString &tableFileName="fitToyMCTable.tex", Bool_t poissonSmearing=kTRUE)
	Specify that a toy MC sample should be created for a successful fit to an experiment. More...

virtual void	weightEvents (const TString &dataFileName, const TString &dataTreeName)=0
	Reweighting - allows e.g. MC events to be weighted by the DP model. More...

void	run (const TString &applicationCode, const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileName="")
	Start the toy generation / fitting. More...

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...

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

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

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

Protected Types
typedef std::vector< LauAbsPdf * >	LauPdfList
	List of Pdfs. More...

typedef std::vector < LauParameter * >	LauParameterPList
	List of parameter pointers. More...

typedef std::vector < LauAbsRValue * >	LauAbsRValuePList
	List of parameter pointers. More...

typedef std::set< LauParameter * >	LauParameterPSet
	Set of parameter pointers. More...

typedef std::vector< LauParameter >	LauParameterList
	List of parameters. More...

typedef std::map< UInt_t, TString >	LauBkgndClassMap
	A type to store background classes. More...

Protected Member Functions
void	initSockets ()
	Initialise socket connections for the slaves. More...

void	clearFitParVectors ()
	Clear the vectors containing fit parameters. More...

void	clearExtraVarVectors ()
	Clear the vectors containing extra ntuple variables. More...

virtual void	generate (const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileNameBase)
	Generate toy MC. More...

virtual Bool_t	genExpt ()=0
	The method that actually generates the toy MC events for the given experiment. More...

void	fit (const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileNameBase)
	Perform the total fit. More...

void	fitSlave (const TString &dataFileName, const TString &dataTreeName, const TString &histFileName, const TString &tableFileNameBase)
	Slaves required when performing a simultaneous fit. More...

void	fitExpt ()
	Routine to perform the actual fit for a given experiment. More...

Bool_t	runMinimisation ()
	Routine to perform the minimisation. More...

void	createFitToyMC (const TString &mcFileName, const TString &tableFileName)
	Create a toy MC sample from the fitted parameters. More...

Bool_t	cacheFitData (const TString &dataFileName, const TString &dataTreeName)
	Store variables from the input file into the internal data storage. More...

virtual void	cacheInputFitVars ()=0
	Cache the input data values to calculate the likelihood during the fit. More...

virtual void	cacheInputSWeights ()
	Cache the value of the sWeights to be used in the sFit. More...

virtual void	initialise ()=0
	Initialise the fit par vectors. More...

virtual void	recalculateNormalisation ()=0
	Recalculate normalisation the signal DP model(s) More...

virtual void	initialiseDPModels ()=0
	Initialise the DP models. More...

virtual void	updateCoeffs ()=0

virtual void	propagateParUpdates ()=0
	This function (specific to each model) calculates anything that depends on the fit parameter values. More...

Double_t	getLogLikelihood (UInt_t iStart, UInt_t iEnd)
	Calculate the sum of the log-likelihood over the specified events. More...

Double_t	getLogLikelihoodPenalty ()
	Calculate the penalty terms to the log likelihood from Gaussian constraints. More...

virtual Double_t	getTotEvtLikelihood (UInt_t iEvt)=0
	Calculates the likelihood for a given event. More...

virtual Double_t	getEventSum () const =0
	Returns the sum of the expected events over all hypotheses; used in the EML fit scenario. More...

virtual void	printEventInfo (UInt_t iEvt) const
	Prints the values of all the fit variables for the specified event - useful for diagnostics. More...

virtual void	printVarsInfo () const
	Same as printEventInfo, but printing out the values of the variables in the fit. More...

virtual void	checkInitFitParams ()=0
	Update initial fit parameters if required. More...

virtual void	finaliseFitResults (const TString &tableFileName)=0
	Write the results of the fit into the ntuple. More...

virtual void	writeOutTable (const TString &outputFile)=0
	Write the latex table. More...

virtual void	storePerEvtLlhds ()=0
	Store the per-event likelihood values. More...

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

virtual void	calculateSPlotData ()
	Calculate the sPlot data. More...

void	setGenValues ()
	Make sure all parameters hold their genValue as the current value. More...

virtual void	setupBkgndVectors ()=0
	Method to set up the storage for background-related quantities called by setBkgndClassNames. More...

Bool_t	validBkgndClass (const TString &className) const
	Check if the given background class is in the list. More...

UInt_t	bkgndClassID (const TString &className) const
	The number assigned to a background class. More...

const TString &	bkgndClassName (UInt_t classID) const
	Get the name of a background class from the number. More...

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

virtual void	setupGenNtupleBranches ()=0
	Setup the generation ntuple branches. More...

virtual void	addGenNtupleIntegerBranch (const TString &name)
	Add a branch to the gen tree for storing an integer. More...

virtual void	addGenNtupleDoubleBranch (const TString &name)
	Add a branch to the gen tree for storing a double. More...

virtual void	setGenNtupleIntegerBranchValue (const TString &name, Int_t value)
	Set the value of an integer branch in the gen tree. More...

virtual void	setGenNtupleDoubleBranchValue (const TString &name, Double_t value)
	Set the value of a double branch in the gen tree. More...

virtual Int_t	getGenNtupleIntegerBranchValue (const TString &name) const
	Get the value of an integer branch in the gen tree. More...

virtual Double_t	getGenNtupleDoubleBranchValue (const TString &name) const
	Get the value of a double branch in the gen tree. More...

virtual void	fillGenNtupleBranches ()
	Fill the gen tuple branches. More...

virtual void	setupSPlotNtupleBranches ()=0
	Setup the branches of the sPlot tuple. More...

virtual void	addSPlotNtupleIntegerBranch (const TString &name)
	Add a branch to the sPlot tree for storing an integer. More...

virtual void	addSPlotNtupleDoubleBranch (const TString &name)
	Add a branch to the sPlot tree for storing a double. More...

virtual void	setSPlotNtupleIntegerBranchValue (const TString &name, Int_t value)
	Set the value of an integer branch in the sPlot tree. More...

virtual void	setSPlotNtupleDoubleBranchValue (const TString &name, Double_t value)
	Set the value of a double branch in the sPlot tree. More...

virtual void	fillSPlotNtupleBranches ()
	Fill the sPlot tuple. More...

virtual LauSPlot::NameSet	variableNames () const =0
	Returns the names of all variables in the fit. More...

virtual LauSPlot::NumbMap	freeSpeciesNames () const =0
	Returns the names and yields of species that are free in the fit. More...

virtual LauSPlot::NumbMap	fixdSpeciesNames () const =0
	Returns the names and yields of species that are fixed in the fit. More...

virtual LauSPlot::TwoDMap	twodimPDFs () const =0
	Returns the species and variables for all 2D PDFs in the fit. More...

virtual Bool_t	splitSignal () const =0
	Check if the signal is split into well-reconstructed and mis-reconstructed types. More...

virtual Bool_t	scfDPSmear () const =0
	Check if the mis-reconstructed signal is to be smeared in the DP. More...

UInt_t	addFitParameters (LauPdfList &pdfList)
	Add parameters of the PDFs in the list to the list of all fit parameters. More...

void	addConParameters ()
	Add parameters to the list of Gaussian constrained parameters. More...

void	printFitParameters (const LauPdfList &pdfList, std::ostream &fout) const
	Print the fit parameters for all PDFs in the list. More...

void	updateFitParameters (LauPdfList &pdfList)
	Update the fit parameters for all PDFs in the list. More...

void	cacheInfo (LauPdfList &pdfList, const LauFitDataTree &theData)
	Have all PDFs in the list cache the data. More...

Double_t	prodPdfValue (LauPdfList &pdfList, UInt_t iEvt)
	Calculate the product of the per-event likelihoods of the PDFs in the list. More...

Bool_t	pdfsDependOnDP () const
	Do any of the PDFs have a dependence on the DP? More...

void	pdfsDependOnDP (Bool_t dependOnDP)
	Do any of the PDFs have a dependence on the DP? More...

const LauParameterPList &	fitPars () const
	Access the fit variables. More...

LauParameterPList &	fitPars ()

const LauParameterPSet &	resPars () const
	Access the fit variables which affect the DP normalisation. More...

LauParameterPSet &	resPars ()

const LauParameterList &	extraPars () const
	Access the extra variables. More...

LauParameterList &	extraPars ()

const LauAbsRValuePList &	conPars () const
	Access the Gaussian constrained variables. More...

LauAbsRValuePList &	conPars ()

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

LauFitNtuple *	fitNtuple ()

const LauGenNtuple *	genNtuple () const
	Access the gen ntuple. More...

LauGenNtuple *	genNtuple ()

const LauGenNtuple *	sPlotNtuple () const
	Access the sPlot ntuple. More...

LauGenNtuple *	sPlotNtuple ()

const LauFitDataTree *	fitData () const
	Access the data store. More...

LauFitDataTree *	fitData ()

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

Int_t	fitStatus () const
	Access the fit status information. More...

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

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

Private Member Functions
	LauAbsFitModel (const LauAbsFitModel &rhs)
	Copy constructor (not implemented) More...

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

Private Attributes
std::vector< StoreConstraints >	storeCon_
	Store the constraints for fit parameters until initialisation is complete. More...

Bool_t	twoStageFit_
	Option to perform a two stage fit. More...

Bool_t	useAsymmFitErrors_
	Option to use asymmetric errors. More...

Bool_t	compareFitData_
	Option to make toy from 1st successful experiment. More...

Bool_t	writeLatexTable_
	Option to output a Latex format table. More...

Bool_t	writeSPlotData_
	Option to write sPlot data. More...

Bool_t	storeDPEff_
	Option to store DP efficiencies in the sPlot ntuple. More...

Bool_t	randomFit_
	Option to randomise the initial values of the fit parameters. More...

Bool_t	emlFit_
	Option to perform an extended ML fit. More...

Bool_t	poissonSmear_
	Option to perform Poisson smearing. More...

Bool_t	enableEmbedding_
	Option to enable embedding. More...

Bool_t	usingDP_
	Option to include the DP as part of the fit. More...

Bool_t	pdfsDependOnDP_
	Option to state if pdfs depend on DP position. More...

UInt_t	firstExpt_
	The number of the first experiment to consider. More...

UInt_t	nExpt_
	The number of experiments to consider. More...

UInt_t	evtsPerExpt_
	The number of events per experiment. More...

UInt_t	iExpt_
	The number of the current experiment. More...

LauParameterPList	fitVars_
	Internal vector of fit parameters. More...

LauParameterPSet	resVars_
	Internal set of fit parameters upon which the DP normalisation depends. More...

LauParameterList	extraVars_
	Extra variables that aren't in the fit but are stored in the ntuple. More...

LauAbsRValuePList	conVars_
	Internal vectors of Gaussian parameters. More...

LauFitDataTree *	inputFitData_
	The input data. More...

LauFitNtuple *	fitNtuple_
	The fit ntuple. More...

LauGenNtuple *	genNtuple_
	The generated ntuple. More...

LauGenNtuple *	sPlotNtuple_
	The sPlot ntuple. More...

Int_t	fitStatus_
	The status of the fit. More...

Double_t	NLL_
	The negative log-likelihood. More...

TMatrixD	covMatrix_
	The fit covariance matrix. More...

UInt_t	numberOKFits_
	The number of good fits. More...

UInt_t	numberBadFits_
	The number of bad fits. More...

UInt_t	nParams_
	The number of fit parameters. More...

UInt_t	nFreeParams_
	The number of free fit parameters. More...

Double_t	worstLogLike_
	The worst LL value found so far. More...

Bool_t	withinAsymErrorCalc_
	Flag to indicate if the asymmetric error calculation (e.g. MINOS) is currently running. More...

LauBkgndClassMap	bkgndClassNames_
	The background class names. More...

const TString	nullString_
	An empty string. More...

Bool_t	doSFit_
	Option to perfom the sFit. More...

TString	sWeightBranchName_
	The name of the sWeight branch. More...

std::vector< Double_t >	sWeights_
	The vector of sWeights. More...

Double_t	sWeightScaleFactor_
	The sWeight scaling factor. More...

TStopwatch	timer_
	The fit timer. More...

TStopwatch	cumulTimer_
	The total fit timer. More...

TString	fitToyMCFileName_
	The output file name for Toy MC. More...

TString	fitToyMCTableName_
	The output table name for Toy MC. More...

UInt_t	fitToyMCScale_
	The scaling factor (toy vs data statistics) More...

Bool_t	fitToyMCPoissonSmear_
	Option to perform Poisson smearing. More...

TString	sPlotFileName_
	The name of the sPlot file. More...

TString	sPlotTreeName_
	The name of the sPlot tree. More...

TString	sPlotVerbosity_
	Control the verbosity of the sFit. More...

TSocket *	sMaster_
	A socket to enable parallel setup. More...

TMessage *	messageFromMaster_
	Message from master to the slaves. More...

UInt_t	slaveId_
	Slave id number. More...

UInt_t	nSlaves_
	The total number of slaves. More...

Double_t *	parValues_
	Parameter values array (for reading from the master) More...

Detailed Description

Abstract interface to the fitting and toy MC model.

Abstract interface to the fitting and toy MC model

Any class inheriting from this must implement the following functions:

Definition at line 79 of file LauAbsFitModel.hh.

Member Typedef Documentation

typedef std::vector<LauAbsRValue*> LauAbsFitModel::LauAbsRValuePList

protected

List of parameter pointers.

Definition at line 328 of file LauAbsFitModel.hh.

typedef std::map<UInt_t,TString> LauAbsFitModel::LauBkgndClassMap

protected

A type to store background classes.

Definition at line 334 of file LauAbsFitModel.hh.

typedef std::vector<LauParameter> LauAbsFitModel::LauParameterList

protected

List of parameters.

Definition at line 332 of file LauAbsFitModel.hh.

typedef std::vector<LauParameter*> LauAbsFitModel::LauParameterPList

protected

List of parameter pointers.

Definition at line 326 of file LauAbsFitModel.hh.

typedef std::set<LauParameter*> LauAbsFitModel::LauParameterPSet

protected

Set of parameter pointers.

Definition at line 330 of file LauAbsFitModel.hh.

typedef std::vector<LauAbsPdf*> LauAbsFitModel::LauPdfList

protected

List of Pdfs.

Definition at line 324 of file LauAbsFitModel.hh.

Constructor & Destructor Documentation

LauAbsFitModel::LauAbsFitModel ( )

Constructor.

Definition at line 43 of file LauAbsFitModel.cc.

LauAbsFitModel::~LauAbsFitModel ( )

virtual

Destructor.

Definition at line 93 of file LauAbsFitModel.cc.

LauAbsFitModel::LauAbsFitModel ( const LauAbsFitModel & rhs )

private

Copy constructor (not implemented)

Member Function Documentation

void LauAbsFitModel::addConParameters ( )

protected

Add parameters to the list of Gaussian constrained parameters.

Definition at line 1174 of file LauAbsFitModel.cc.

void LauAbsFitModel::addConstraint	(	const TString &	formula,
		const std::vector< TString > &	pars,
		const Double_t	mean,
		const Double_t	width
	)

virtual

Store constraint information for fit parameters.

Parameters

[in]	formula	the formula to be used in the LauFormulaPar
[in]	pars	a vector of LauParameter names to be used in the Formula, in the order specified by the formula
[in]	mean	the value of the mean of the Gaussian constraint
[in]	width	the value of the width of the Gaussian constraint

Implements LauFitObject.

Definition at line 1164 of file LauAbsFitModel.cc.

UInt_t LauAbsFitModel::addFitParameters ( LauPdfList & pdfList )

protected

Add parameters of the PDFs in the list to the list of all fit parameters.

Parameters

[in] pdfList a list of Pdfs

Returns: the number of parameters added

Definition at line 1141 of file LauAbsFitModel.cc.

void LauAbsFitModel::addGenNtupleDoubleBranch ( const TString & name )

protectedvirtual

Add a branch to the gen tree for storing a double.

Parameters

[in] name the name of the branch

Definition at line 408 of file LauAbsFitModel.cc.

void LauAbsFitModel::addGenNtupleIntegerBranch ( const TString & name )

protectedvirtual

Add a branch to the gen tree for storing an integer.

Parameters

[in] name the name of the branch

Definition at line 403 of file LauAbsFitModel.cc.

void LauAbsFitModel::addSPlotNtupleDoubleBranch ( const TString & name )

protectedvirtual

Add a branch to the sPlot tree for storing a double.

Parameters

[in] name the name of the branch

Definition at line 443 of file LauAbsFitModel.cc.

void LauAbsFitModel::addSPlotNtupleIntegerBranch ( const TString & name )

protectedvirtual

Add a branch to the sPlot tree for storing an integer.

Parameters

[in] name the name of the branch

Definition at line 438 of file LauAbsFitModel.cc.

UInt_t LauAbsFitModel::bkgndClassID ( const TString & className ) const

protected

The number assigned to a background class.

Parameters

[in] className the name of the class to check

Returns: the background class ID number

Definition at line 254 of file LauAbsFitModel.cc.

const TString & LauAbsFitModel::bkgndClassName ( UInt_t classID ) const

protected

Get the name of a background class from the number.

Parameters

[in] classID the ID number of the background class

Returns: the class name

Definition at line 272 of file LauAbsFitModel.cc.

Bool_t LauAbsFitModel::cacheFitData	(	const TString &	dataFileName,
		const TString &	dataTreeName
	)

protected

Store variables from the input file into the internal data storage.

Parameters

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

Definition at line 795 of file LauAbsFitModel.cc.

void LauAbsFitModel::cacheInfo	(	LauPdfList &	pdfList,
		const LauFitDataTree &	theData
	)

protected

Have all PDFs in the list cache the data.

Parameters

[in]	pdfList	the list of pdfs
[in]	theData	the data from the fit

Definition at line 1245 of file LauAbsFitModel.cc.

virtual void LauAbsFitModel::cacheInputFitVars ( )

protectedpure virtual

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

Implemented in LauCPFitModel, and LauSimpleFitModel.

void LauAbsFitModel::cacheInputSWeights ( )

protectedvirtual

Cache the value of the sWeights to be used in the sFit.

Definition at line 811 of file LauAbsFitModel.cc.

void LauAbsFitModel::calculateSPlotData ( )

protectedvirtual

Calculate the sPlot data.

Definition at line 898 of file LauAbsFitModel.cc.

virtual void LauAbsFitModel::checkInitFitParams ( )

protectedpure virtual

Update initial fit parameters if required.

Implemented in LauCPFitModel, and LauSimpleFitModel.

void LauAbsFitModel::clearExtraVarVectors ( )

protected

Clear the vectors containing extra ntuple variables.

Definition at line 299 of file LauAbsFitModel.cc.

void LauAbsFitModel::clearFitParVectors ( )

protected

Clear the vectors containing fit parameters.

Definition at line 284 of file LauAbsFitModel.cc.

void LauAbsFitModel::compareFitData	(	UInt_t	toyMCScale = `10`,
		const TString &	mcFileName = `"fitToyMC.root"`,
		const TString &	tableFileName = `"fitToyMCTable.tex"`,
		Bool_t	poissonSmearing = `kTRUE`
	)

Specify that a toy MC sample should be created for a successful fit to an experiment.

Generation uses the fitted parameters so that the user can compare the fit to the data

Parameters

[in]	toyMCScale	the scale factor to get the number of events to generate
[in]	mcFileName	the file name where the toy sample will be stored
[in]	tableFileName	name of the output tex file
[in]	poissonSmearing	turn smearing on or off

Definition at line 911 of file LauAbsFitModel.cc.

const LauAbsRValuePList& LauAbsFitModel::conPars ( ) const

inlineprotected

Access the Gaussian constrained variables.

Definition at line 674 of file LauAbsFitModel.hh.

LauAbsRValuePList& LauAbsFitModel::conPars ( )

inlineprotected

Definition at line 675 of file LauAbsFitModel.hh.

const TMatrixD& LauAbsFitModel::covarianceMatrix ( ) const

inlineprotected

Access the fit covariance matrix.

Definition at line 700 of file LauAbsFitModel.hh.

void LauAbsFitModel::createFitToyMC	(	const TString &	mcFileName,
		const TString &	tableFileName
	)

protected

Create a toy MC sample from the fitted parameters.

Parameters

[in]	mcFileName	the file name where the toy sample will be stored
[in]	tableFileName	name of the output tex file

Definition at line 920 of file LauAbsFitModel.cc.

Bool_t LauAbsFitModel::doEMLFit ( ) const

inline

Determine whether an extended maximum likelihood fit it being performed.

Definition at line 108 of file LauAbsFitModel.hh.

void LauAbsFitModel::doEMLFit ( Bool_t emlFit )

inline

Choice to perform an extended maximum likelihood fit.

Parameters

[in] emlFit boolean specifying whether or not to perform the EML

Definition at line 114 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::doPoissonSmearing ( ) const

inline

Determine whether Poisson smearing is enabled for the toy MC generation.

Definition at line 142 of file LauAbsFitModel.hh.

void LauAbsFitModel::doPoissonSmearing ( Bool_t poissonSmear )

inline

Turn Poisson smearing (for the toy MC generation) on or off.

Parameters

[in] poissonSmear boolean specifying whether or not to do Poisson smearing

Definition at line 148 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::doSFit ( ) const

inline

Return the flag to store the status of using an sFit or not.

Definition at line 98 of file LauAbsFitModel.hh.

void LauAbsFitModel::doSFit	(	const TString &	sWeightBranchName,
		Double_t	scaleFactor = `1.0`
	)

Do an sFit (use sWeights to isolate signal decays rather than using background histograms)

Parameters

[in]	sWeightBranchName	name of the branch of the tree containing the sWeights
[in]	scaleFactor	scaling factor to get the uncertainties correct

Definition at line 210 of file LauAbsFitModel.cc.

Bool_t LauAbsFitModel::enableEmbedding ( ) const

inline

Determine whether embedding of events is enabled in the generation.

Definition at line 151 of file LauAbsFitModel.hh.

void LauAbsFitModel::enableEmbedding ( Bool_t enable )

inline

Turn on or off embedding of events in the generation.

Parameters

[in] enable boolean specifying whether to embed events

Definition at line 157 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::eventsPerExpt ( ) const

inline

Obtain the total number of events in the current experiment.

Definition at line 209 of file LauAbsFitModel.hh.

void LauAbsFitModel::eventsPerExpt ( UInt_t nEvents )

inlineprotected

Set the number of events in the current experiment.

Definition at line 514 of file LauAbsFitModel.hh.

const LauParameterList& LauAbsFitModel::extraPars ( ) const

inlineprotected

Access the extra variables.

Definition at line 670 of file LauAbsFitModel.hh.

LauParameterList& LauAbsFitModel::extraPars ( )

inlineprotected

Definition at line 671 of file LauAbsFitModel.hh.

void LauAbsFitModel::fillGenNtupleBranches ( )

protectedvirtual

Fill the gen tuple branches.

Definition at line 433 of file LauAbsFitModel.cc.

void LauAbsFitModel::fillSPlotNtupleBranches ( )

protectedvirtual

Fill the sPlot tuple.

Definition at line 458 of file LauAbsFitModel.cc.

virtual void LauAbsFitModel::finaliseFitResults ( const TString & tableFileName )

protectedpure virtual

Write the results of the fit into the ntuple.

Parameters

[in] tableFileName the structure containing the results of the fit

Implemented in LauCPFitModel, and LauSimpleFitModel.

UInt_t LauAbsFitModel::firstExpt ( ) const

inline

Obtain the number of the first experiment.

Definition at line 215 of file LauAbsFitModel.hh.

void LauAbsFitModel::fit	(	const TString &	dataFileName,
		const TString &	dataTreeName,
		const TString &	histFileName,
		const TString &	tableFileNameBase
	)

protected

Perform the total fit.

Parameters

[in]	dataFileName	the name of the data file
[in]	dataTreeName	the name of the tree containing the data
[in]	histFileName	the name of the histogram output file
[in]	tableFileNameBase	the name the of latex output file

Definition at line 463 of file LauAbsFitModel.cc.

const LauFitDataTree* LauAbsFitModel::fitData ( ) const

inlineprotected

Access the data store.

Definition at line 690 of file LauAbsFitModel.hh.

LauFitDataTree* LauAbsFitModel::fitData ( )

inlineprotected

Definition at line 691 of file LauAbsFitModel.hh.

void LauAbsFitModel::fitExpt ( )

protected

Routine to perform the actual fit for a given experiment.

Definition at line 835 of file LauAbsFitModel.cc.

const LauFitNtuple* LauAbsFitModel::fitNtuple ( ) const

inlineprotected

Access the fit ntuple.

Definition at line 678 of file LauAbsFitModel.hh.

LauFitNtuple* LauAbsFitModel::fitNtuple ( )

inlineprotected

Definition at line 679 of file LauAbsFitModel.hh.

const LauParameterPList& LauAbsFitModel::fitPars ( ) const

inlineprotected

Access the fit variables.

Definition at line 662 of file LauAbsFitModel.hh.

LauParameterPList& LauAbsFitModel::fitPars ( )

inlineprotected

Definition at line 663 of file LauAbsFitModel.hh.

void LauAbsFitModel::fitSlave	(	const TString &	dataFileName,
		const TString &	dataTreeName,
		const TString &	histFileName,
		const TString &	tableFileNameBase
	)

protected

Slaves required when performing a simultaneous fit.

Parameters

[in]	dataFileName	the name of the data file
[in]	dataTreeName	the name of the tree containing the data
[in]	histFileName	the name of the histogram output file
[in]	tableFileNameBase	the name the of latex output file

Definition at line 578 of file LauAbsFitModel.cc.

Int_t LauAbsFitModel::fitStatus ( ) const

inlineprotected

Access the fit status information.

Definition at line 697 of file LauAbsFitModel.hh.

virtual LauSPlot::NumbMap LauAbsFitModel::fixdSpeciesNames ( ) const

protectedpure virtual

Returns the names and yields of species that are fixed in the fit.

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual LauSPlot::NumbMap LauAbsFitModel::freeSpeciesNames ( ) const

protectedpure virtual

Returns the names and yields of species that are free in the fit.

Implemented in LauCPFitModel, and LauSimpleFitModel.

void LauAbsFitModel::generate	(	const TString &	dataFileName,
		const TString &	dataTreeName,
		const TString &	histFileName,
		const TString &	tableFileNameBase
	)

protectedvirtual

Generate toy MC.

Parameters

[in]	dataFileName	the name of the file where the generated events are stored
[in]	dataTreeName	the name of the tree used to store the variables
[in]	histFileName	the name of the histogram output file (currently not used)
[in]	tableFileNameBase	the name the latex output file

Definition at line 331 of file LauAbsFitModel.cc.

virtual Bool_t LauAbsFitModel::genExpt ( )

protectedpure virtual

The method that actually generates the toy MC events for the given experiment.

Returns: the success/failure flag of the generation procedure

Implemented in LauCPFitModel, and LauSimpleFitModel.

const LauGenNtuple* LauAbsFitModel::genNtuple ( ) const

inlineprotected

Access the gen ntuple.

Definition at line 682 of file LauAbsFitModel.hh.

LauGenNtuple* LauAbsFitModel::genNtuple ( )

inlineprotected

Definition at line 683 of file LauAbsFitModel.hh.

virtual Double_t LauAbsFitModel::getEventSum ( ) const

protectedpure virtual

Returns the sum of the expected events over all hypotheses; used in the EML fit scenario.

Implemented in LauCPFitModel, and LauSimpleFitModel.

Double_t LauAbsFitModel::getGenNtupleDoubleBranchValue ( const TString & name ) const

protectedvirtual

Get the value of a double branch in the gen tree.

Parameters

[in] name the name of the branch

Returns: the value of the parameter

Definition at line 428 of file LauAbsFitModel.cc.

Int_t LauAbsFitModel::getGenNtupleIntegerBranchValue ( const TString & name ) const

protectedvirtual

Get the value of an integer branch in the gen tree.

Parameters

[in] name the name of the branch

Returns: the value of the parameter

Definition at line 423 of file LauAbsFitModel.cc.

Double_t LauAbsFitModel::getLogLikelihood	(	UInt_t	iStart,
		UInt_t	iEnd
	)

protected

Calculate the sum of the log-likelihood over the specified events.

Parameters

[in]	iStart	the event number of the first event to be considered
[in]	iEnd	the event number of the final event to be considered

Definition at line 1058 of file LauAbsFitModel.cc.

Double_t LauAbsFitModel::getLogLikelihoodPenalty ( )

protected

Calculate the penalty terms to the log likelihood from Gaussian constraints.

Definition at line 1042 of file LauAbsFitModel.cc.

virtual Double_t LauAbsFitModel::getTotEvtLikelihood ( UInt_t iEvt )

protectedpure virtual

Calculates the likelihood for a given event.

Parameters

[in] iEvt the event number

Implemented in LauCPFitModel, and LauSimpleFitModel.

Double_t LauAbsFitModel::getTotNegLogLikelihood ( )

virtual

Calculates the total negative log-likelihood.

This function has to be public since it is called from the global FCN. It should not be called otherwise!

Implements LauFitObject.

Definition at line 1019 of file LauAbsFitModel.cc.

UInt_t LauAbsFitModel::iExpt ( ) const

inline

Obtain the number of the current experiment.

Definition at line 218 of file LauAbsFitModel.hh.

virtual void LauAbsFitModel::initialise ( )

protectedpure virtual

Initialise the fit par vectors.

Each class that inherits from this one must implement this sensibly for all vectors specified in clearFitParVectors, i.e. specify parameter names, initial, min, max and fixed values

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual void LauAbsFitModel::initialiseDPModels ( )

protectedpure virtual

Initialise the DP models.

Implemented in LauCPFitModel, and LauSimpleFitModel.

void LauAbsFitModel::initSockets ( )

protected

Initialise socket connections for the slaves.

UInt_t LauAbsFitModel::nBkgndClasses ( ) const

inline

Returns the number of background classes.

Definition at line 227 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::nExpt ( ) const

inline

Obtain the number of experiments.

Definition at line 212 of file LauAbsFitModel.hh.

Double_t LauAbsFitModel::nll ( ) const

inlineprotected

Access the current NLL value.

Definition at line 694 of file LauAbsFitModel.hh.

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

private

Copy assignment operator (not implemented)

Bool_t LauAbsFitModel::pdfsDependOnDP ( ) const

inlineprotected

Do any of the PDFs have a dependence on the DP?

Returns: the flag to indicated if there is a DP dependence

Definition at line 653 of file LauAbsFitModel.hh.

void LauAbsFitModel::pdfsDependOnDP ( Bool_t dependOnDP )

inlineprotected

Do any of the PDFs have a dependence on the DP?

Parameters

[in] dependOnDP the flag to indicated if there is a DP dependence

Definition at line 659 of file LauAbsFitModel.hh.

void LauAbsFitModel::printEventInfo ( UInt_t iEvt ) const

protectedvirtual

Prints the values of all the fit variables for the specified event - useful for diagnostics.

Parameters

[in] iEvt the event number

Definition at line 1262 of file LauAbsFitModel.cc.

void LauAbsFitModel::printFitParameters	(	const LauPdfList &	pdfList,
		std::ostream &	fout
	)		const

protected

Print the fit parameters for all PDFs in the list.

Parameters

[in]	pdfList	a list of Pdfs
[in]	fout	the output stream to write to

Definition at line 1221 of file LauAbsFitModel.cc.

void LauAbsFitModel::printVarsInfo ( ) const

protectedvirtual

Same as printEventInfo, but printing out the values of the variables in the fit.

Definition at line 1271 of file LauAbsFitModel.cc.

Double_t LauAbsFitModel::prodPdfValue	(	LauPdfList &	pdfList,
		UInt_t	iEvt
	)

protected

Calculate the product of the per-event likelihoods of the PDFs in the list.

Parameters

[in]	pdfList	the list of pdfs
[in]	iEvt	the event number

Definition at line 1252 of file LauAbsFitModel.cc.

virtual void LauAbsFitModel::propagateParUpdates ( )

protectedpure virtual

This function (specific to each model) calculates anything that depends on the fit parameter values.

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual void LauAbsFitModel::recalculateNormalisation ( )

protectedpure virtual

Recalculate normalisation the signal DP model(s)

Implemented in LauCPFitModel, and LauSimpleFitModel.

const LauParameterPSet& LauAbsFitModel::resPars ( ) const

inlineprotected

Access the fit variables which affect the DP normalisation.

Definition at line 666 of file LauAbsFitModel.hh.

LauParameterPSet& LauAbsFitModel::resPars ( )

inlineprotected

Definition at line 667 of file LauAbsFitModel.hh.

void LauAbsFitModel::run	(	const TString &	applicationCode,
		const TString &	dataFileName,
		const TString &	dataTreeName,
		const TString &	histFileName,
		const TString &	tableFileName = `""`
	)

Start the toy generation / fitting.

Parameters

[in]	applicationCode	specifies what to do, perform a fit ("fit") or generate toy MC ("gen")
[in]	dataFileName	the name of the input data file
[in]	dataTreeName	the name of the tree containing the data
[in]	histFileName	the file name for the output histograms
[in]	tableFileName	the file name for the latex output file

Definition at line 111 of file LauAbsFitModel.cc.

Bool_t LauAbsFitModel::runMinimisation ( )

protected

Routine to perform the minimisation.

Returns: the success/failure flag of the fit

void LauAbsFitModel::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.

Parameters

[in]	dataFileName	the name of the input data file
[in]	dataTreeName	the name of the tree containing the data
[in]	histFileName	the file name for the output histograms
[in]	tableFileName	the file name for the latex output file
[in]	addressMaster	the hostname of the machine running the master process
[in]	portMaster	the port number on which the master process is listening

Definition at line 158 of file LauAbsFitModel.cc.

virtual Bool_t LauAbsFitModel::scfDPSmear ( ) const

protectedpure virtual

Check if the mis-reconstructed signal is to be smeared in the DP.

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual void LauAbsFitModel::setAmpCoeffSet ( LauAbsCoeffSet * coeffSet )

pure virtual

Set the DP amplitude coefficients.

Parameters

[in] coeffSet the set of coefficients

Implemented in LauCPFitModel, and LauSimpleFitModel.

void LauAbsFitModel::setBkgndClassNames ( const std::vector< TString > & names )

virtual

Setup the background class names.

Parameters

[in] names a vector of all the background names

Definition at line 222 of file LauAbsFitModel.cc.

void LauAbsFitModel::setGenNtupleDoubleBranchValue	(	const TString &	name,
		Double_t	value
	)

protectedvirtual

Set the value of a double branch in the gen tree.

Parameters

[in]	name	the name of the branch
[in]	value	the value to be stored

Definition at line 418 of file LauAbsFitModel.cc.

void LauAbsFitModel::setGenNtupleIntegerBranchValue	(	const TString &	name,
		Int_t	value
	)

protectedvirtual

Set the value of an integer branch in the gen tree.

Parameters

[in]	name	the name of the branch
[in]	value	the value to be stored

Definition at line 413 of file LauAbsFitModel.cc.

void LauAbsFitModel::setGenValues ( )

protected

Make sure all parameters hold their genValue as the current value.

Definition at line 305 of file LauAbsFitModel.cc.

virtual void LauAbsFitModel::setNBkgndEvents ( LauParameter * nBkgndEvents )

pure virtual

Set the number of background events.

The name of the parameter must be that of the corresponding background category (so that it can be correctly assigned)

Parameters

[in] nBkgndEvents contains the name, yield and option to fix the yield of the background

Implemented in LauCPFitModel, and LauSimpleFitModel.

void LauAbsFitModel::setNExpts	(	UInt_t	nExperiments,
		UInt_t	firstExperiment = `0`
	)

inline

Set the number of experiments and the first experiment.

Parameters

[in]	nExperiments	the number of experiments
[in]	firstExperiment	the number of the first experiment

Definition at line 203 of file LauAbsFitModel.hh.

virtual void LauAbsFitModel::setNSigEvents ( LauParameter * nSigEvents )

pure virtual

Set the number of signal events.

Parameters

[in] nSigEvents contains the signal yield and option to fix it

Implemented in LauCPFitModel, and LauSimpleFitModel.

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

virtual

This function sets the parameter values from Minuit.

This function has to be public since it is called from the global FCN. It should not be called otherwise!

Parameters

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

Implements LauFitObject.

Definition at line 1098 of file LauAbsFitModel.cc.

void LauAbsFitModel::setSPlotNtupleDoubleBranchValue	(	const TString &	name,
		Double_t	value
	)

protectedvirtual

Set the value of a double branch in the sPlot tree.

Parameters

[in]	name	the name of the branch
[in]	value	the value to be stored

Definition at line 453 of file LauAbsFitModel.cc.

void LauAbsFitModel::setSPlotNtupleIntegerBranchValue	(	const TString &	name,
		Int_t	value
	)

protectedvirtual

Set the value of an integer branch in the sPlot tree.

Parameters

[in]	name	the name of the branch
[in]	value	the value to be stored

Definition at line 448 of file LauAbsFitModel.cc.

virtual void LauAbsFitModel::setupBkgndVectors ( )

protectedpure virtual

Method to set up the storage for background-related quantities called by setBkgndClassNames.

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual void LauAbsFitModel::setupGenNtupleBranches ( )

protectedpure virtual

Setup the generation ntuple branches.

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual void LauAbsFitModel::setupSPlotNtupleBranches ( )

protectedpure virtual

Setup the branches of the sPlot tuple.

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual Bool_t LauAbsFitModel::splitSignal ( ) const

protectedpure virtual

Check if the signal is split into well-reconstructed and mis-reconstructed types.

Implemented in LauCPFitModel, and LauSimpleFitModel.

const LauGenNtuple* LauAbsFitModel::sPlotNtuple ( ) const

inlineprotected

Access the sPlot ntuple.

Definition at line 686 of file LauAbsFitModel.hh.

LauGenNtuple* LauAbsFitModel::sPlotNtuple ( )

inlineprotected

Definition at line 687 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::storeDPEff ( ) const

inline

Determine whether the efficiency information should be stored in the sPlot ntuple.

Definition at line 190 of file LauAbsFitModel.hh.

virtual void LauAbsFitModel::storePerEvtLlhds ( )

protectedpure virtual

Store the per-event likelihood values.

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual LauSPlot::TwoDMap LauAbsFitModel::twodimPDFs ( ) const

protectedpure virtual

Returns the species and variables for all 2D PDFs in the fit.

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual Bool_t LauAbsFitModel::twoStageFit ( ) const

inlinevirtual

Determine whether the two-stage fit is enabled.

Definition at line 117 of file LauAbsFitModel.hh.

virtual void LauAbsFitModel::twoStageFit ( Bool_t doTwoStageFit )

inlinevirtual

Turn on or off the two stage fit.

The two-stage fit allows certain parameters to be fixed in one stage and floated in another stage of the fit. Can be used, for example, in a CP fit where the CP-parameters are fixed to zero in the first stage (while the CP-average parameters are determined), then floated in the second.

Parameters

[in] doTwoStageFit boolean specifying whether or not the two-stage fit should be enabled

Definition at line 130 of file LauAbsFitModel.hh.

virtual void LauAbsFitModel::updateCoeffs ( )

protectedpure virtual

For each amp in the fit this function takes its particular parameters and from them calculates the single complex number that is its coefficient. The vector of these coeffs can then be passed to the signal dynamics.

Implemented in LauCPFitModel, and LauSimpleFitModel.

void LauAbsFitModel::updateFitParameters ( LauPdfList & pdfList )

protected

Update the fit parameters for all PDFs in the list.

Parameters

[in] pdfList a list of Pdfs

Definition at line 1214 of file LauAbsFitModel.cc.

Bool_t LauAbsFitModel::useAsymmFitErrors ( ) const

inline

Determine whether calculation of asymmetric errors is enabled.

Definition at line 133 of file LauAbsFitModel.hh.

void LauAbsFitModel::useAsymmFitErrors ( Bool_t useAsymmErrors )

inline

Turn on or off the computation of asymmetric errors (e.g. MINOS routine in Minuit)

Parameters

[in] useAsymmErrors boolean specifying whether or not the computation of asymmetric errors is enabled

Definition at line 139 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::useDP ( ) const

inline

Is the Dalitz plot term in the likelihood.

Definition at line 89 of file LauAbsFitModel.hh.

void LauAbsFitModel::useDP ( Bool_t usingDP )

inline

Switch on/off the Dalitz plot term in the Likelihood (allows fits to other quantities, e.g. B mass)

Parameters

[in] usingDP the boolean flag

Definition at line 95 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::useRandomInitFitPars ( ) const

inline

Determine whether the initial values of the fit parameters, in particular the isobar coefficient parameters, are to be randomised.

Definition at line 193 of file LauAbsFitModel.hh.

void LauAbsFitModel::useRandomInitFitPars ( Bool_t boolean )

inline

Randomise the initial values of the fit parameters, in particular the isobar coefficient parameters.

Definition at line 196 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::validBkgndClass ( const TString & className ) const

protected

Check if the given background class is in the list.

Parameters

[in] className the name of the class to check

Returns: true or false

Definition at line 237 of file LauAbsFitModel.cc.

virtual LauSPlot::NameSet LauAbsFitModel::variableNames ( ) const

protectedpure virtual

Returns the names of all variables in the fit.

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual void LauAbsFitModel::weightEvents	(	const TString &	dataFileName,
		const TString &	dataTreeName
	)

pure virtual

Reweighting - allows e.g. MC events to be weighted by the DP model.

Parameters

[in]	dataFileName	the name of the data file
[in]	dataTreeName	the name of the tree containing the data

Implemented in LauCPFitModel, and LauSimpleFitModel.

virtual void LauAbsFitModel::withinAsymErrorCalc ( Bool_t inAsymErrCalc )

inlinevirtual

Mark that the fit is calculating asymmetric errors.

This is called by the fitter interface to mark when entering and exiting the asymmetric error calculation

Parameters

[in] inAsymErrCalc boolean marking that the fit is calculating the asymmetric errors

Implements LauFitObject.

Definition at line 166 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::writeLatexTable ( ) const

inline

Determine whether writing out of the latex table is enabled.

Definition at line 169 of file LauAbsFitModel.hh.

void LauAbsFitModel::writeLatexTable ( Bool_t writeTable )

inline

Turn on or off the writing out of the latex table.

Parameters

[in] writeTable boolean specifying whether or not the latex table should be written out

Definition at line 175 of file LauAbsFitModel.hh.

void LauAbsFitModel::writeOutAllFitResults ( )

protectedvirtual

Write out any fit results.

Definition at line 890 of file LauAbsFitModel.cc.

virtual void LauAbsFitModel::writeOutTable ( const TString & outputFile )

protectedpure virtual

Write the latex table.

Parameters

[in] outputFile the name of the output file

Implemented in LauCPFitModel, and LauSimpleFitModel.

void LauAbsFitModel::writeSPlotData	(	const TString &	fileName,
		const TString &	treeName,
		Bool_t	storeDPEfficiency,
		const TString &	verbosity = `"q"`
	)

Set up the sPlot ntuple.

Parameters

[in]	fileName	the sPlot file name
[in]	treeName	the sPlot tree name
[in]	storeDPEfficiency	whether or not to store the efficiency information too
[in]	verbosity	define the level of output

Definition at line 314 of file LauAbsFitModel.cc.

Bool_t LauAbsFitModel::writeSPlotData ( ) const

inline

Determine whether the sPlot data is to be written out.

Definition at line 187 of file LauAbsFitModel.hh.

Member Data Documentation

LauBkgndClassMap LauAbsFitModel::bkgndClassNames_

private

The background class names.

Definition at line 812 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::compareFitData_

private

Option to make toy from 1st successful experiment.

Definition at line 735 of file LauAbsFitModel.hh.

LauAbsRValuePList LauAbsFitModel::conVars_

private

Internal vectors of Gaussian parameters.

Definition at line 776 of file LauAbsFitModel.hh.

TMatrixD LauAbsFitModel::covMatrix_

private

The fit covariance matrix.

Definition at line 796 of file LauAbsFitModel.hh.

TStopwatch LauAbsFitModel::cumulTimer_

private

The total fit timer.

Definition at line 832 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::doSFit_

private

Option to perfom the sFit.

Definition at line 819 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::emlFit_

private

Option to perform an extended ML fit.

Definition at line 745 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::enableEmbedding_

private

Option to enable embedding.

Definition at line 749 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::evtsPerExpt_

private

The number of events per experiment.

Definition at line 762 of file LauAbsFitModel.hh.

LauParameterList LauAbsFitModel::extraVars_

private

Extra variables that aren't in the fit but are stored in the ntuple.

Definition at line 773 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::firstExpt_

private

The number of the first experiment to consider.

Definition at line 758 of file LauAbsFitModel.hh.

LauFitNtuple* LauAbsFitModel::fitNtuple_

private

The fit ntuple.

Definition at line 783 of file LauAbsFitModel.hh.

Int_t LauAbsFitModel::fitStatus_

private

The status of the fit.

Definition at line 792 of file LauAbsFitModel.hh.

TString LauAbsFitModel::fitToyMCFileName_

private

The output file name for Toy MC.

Definition at line 837 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::fitToyMCPoissonSmear_

private

Option to perform Poisson smearing.

Definition at line 843 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::fitToyMCScale_

private

The scaling factor (toy vs data statistics)

Definition at line 841 of file LauAbsFitModel.hh.

TString LauAbsFitModel::fitToyMCTableName_

private

The output table name for Toy MC.

Definition at line 839 of file LauAbsFitModel.hh.

LauParameterPList LauAbsFitModel::fitVars_

private

Internal vector of fit parameters.

Definition at line 767 of file LauAbsFitModel.hh.

LauGenNtuple* LauAbsFitModel::genNtuple_

private

The generated ntuple.

Definition at line 785 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::iExpt_

private

The number of the current experiment.

Definition at line 764 of file LauAbsFitModel.hh.

LauFitDataTree* LauAbsFitModel::inputFitData_

private

The input data.

Definition at line 781 of file LauAbsFitModel.hh.

TMessage* LauAbsFitModel::messageFromMaster_

private

Message from master to the slaves.

Definition at line 859 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::nExpt_

private

The number of experiments to consider.

Definition at line 760 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::nFreeParams_

private

The number of free fit parameters.

Definition at line 804 of file LauAbsFitModel.hh.

Double_t LauAbsFitModel::NLL_

private

The negative log-likelihood.

Definition at line 794 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::nParams_

private

The number of fit parameters.

Definition at line 802 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::nSlaves_

private

The total number of slaves.

Definition at line 863 of file LauAbsFitModel.hh.

const TString LauAbsFitModel::nullString_

private

An empty string.

Definition at line 814 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::numberBadFits_

private

The number of bad fits.

Definition at line 800 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::numberOKFits_

private

The number of good fits.

Definition at line 798 of file LauAbsFitModel.hh.

Double_t* LauAbsFitModel::parValues_

private

Parameter values array (for reading from the master)

Definition at line 865 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::pdfsDependOnDP_

private

Option to state if pdfs depend on DP position.

Definition at line 753 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::poissonSmear_

private

Option to perform Poisson smearing.

Definition at line 747 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::randomFit_

private

Option to randomise the initial values of the fit parameters.

Definition at line 743 of file LauAbsFitModel.hh.

LauParameterPSet LauAbsFitModel::resVars_

private

Internal set of fit parameters upon which the DP normalisation depends.

Definition at line 770 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::slaveId_

private

Slave id number.

Definition at line 861 of file LauAbsFitModel.hh.

TSocket* LauAbsFitModel::sMaster_

private

A socket to enable parallel setup.

Definition at line 857 of file LauAbsFitModel.hh.

TString LauAbsFitModel::sPlotFileName_

private

The name of the sPlot file.

Definition at line 848 of file LauAbsFitModel.hh.

LauGenNtuple* LauAbsFitModel::sPlotNtuple_

private

The sPlot ntuple.

Definition at line 787 of file LauAbsFitModel.hh.

TString LauAbsFitModel::sPlotTreeName_

private

The name of the sPlot tree.

Definition at line 850 of file LauAbsFitModel.hh.

TString LauAbsFitModel::sPlotVerbosity_

private

Control the verbosity of the sFit.

Definition at line 852 of file LauAbsFitModel.hh.

std::vector<StoreConstraints> LauAbsFitModel::storeCon_

private

Store the constraints for fit parameters until initialisation is complete.

Definition at line 726 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::storeDPEff_

private

Option to store DP efficiencies in the sPlot ntuple.

Definition at line 741 of file LauAbsFitModel.hh.

TString LauAbsFitModel::sWeightBranchName_

private

The name of the sWeight branch.

Definition at line 821 of file LauAbsFitModel.hh.

std::vector<Double_t> LauAbsFitModel::sWeights_

private

The vector of sWeights.

Definition at line 823 of file LauAbsFitModel.hh.

Double_t LauAbsFitModel::sWeightScaleFactor_

private

The sWeight scaling factor.

Definition at line 825 of file LauAbsFitModel.hh.

TStopwatch LauAbsFitModel::timer_

private

The fit timer.

Definition at line 830 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::twoStageFit_

private

Option to perform a two stage fit.

Definition at line 731 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::useAsymmFitErrors_

private

Option to use asymmetric errors.

Definition at line 733 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::usingDP_

private

Option to include the DP as part of the fit.

Definition at line 751 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::withinAsymErrorCalc_

private

Flag to indicate if the asymmetric error calculation (e.g. MINOS) is currently running.

Definition at line 808 of file LauAbsFitModel.hh.

Double_t LauAbsFitModel::worstLogLike_

private

The worst LL value found so far.

Definition at line 806 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::writeLatexTable_

private

Option to output a Latex format table.

Definition at line 737 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::writeSPlotData_

private

Option to write sPlot data.

Definition at line 739 of file LauAbsFitModel.hh.

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

inc/LauAbsFitModel.hh
src/LauAbsFitModel.cc

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