laura is hosted by Hepforge, IPPP Durham
Laura++  v2r1
A maximum likelihood fitting package for performing Dalitz-plot analysis.

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

#include <LauAbsFitModel.hh>

Inheritance diagram for LauAbsFitModel:
LauFitObject LauCPFitModel LauSimpleFitModel

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...
 
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::vector< LauParameterLauParameterList
 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 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 LauParameterPListfitPars () const
 Access the fit variables. More...
 
LauParameterPListfitPars ()
 
const LauParameterListextraPars () const
 Access the extra variables. More...
 
LauParameterListextraPars ()
 
const LauAbsRValuePListconPars () const
 Access the Gaussian constrained variables. More...
 
LauAbsRValuePListconPars ()
 
const LauFitNtuplefitNtuple () const
 Access the fit ntuple. More...
 
LauFitNtuplefitNtuple ()
 
const LauGenNtuplegenNtuple () const
 Access the gen ntuple. More...
 
LauGenNtuplegenNtuple ()
 
const LauGenNtuplesPlotNtuple () const
 Access the sPlot ntuple. More...
 
LauGenNtuplesPlotNtuple ()
 
const LauFitDataTreefitData () const
 Access the data store. More...
 
LauFitDataTreefitData ()
 
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 Attributes

std::vector< StoreConstraintsstoreCon_
 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 vectors of fit parameters. 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...
 
LauFitDataTreeinputFitData_
 The input data. More...
 
LauFitNtuplefitNtuple_
 The fit ntuple. More...
 
LauGenNtuplegenNtuple_
 The generated ntuple. More...
 
LauGenNtuplesPlotNtuple_
 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

Member Typedef Documentation

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

List of parameter pointers.

Definition at line 326 of file LauAbsFitModel.hh.

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

A type to store background classes.

Definition at line 330 of file LauAbsFitModel.hh.

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

List of parameters.

Definition at line 328 of file LauAbsFitModel.hh.

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

List of parameter pointers.

Definition at line 324 of file LauAbsFitModel.hh.

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

List of Pdfs.

Definition at line 322 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.

Member Function Documentation

void LauAbsFitModel::addConParameters ( )
protected

Add parameters to the list of Gaussian constrained parameters.

Definition at line 1128 of file LauAbsFitModel.cc.

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

Store constraint information for fit parameters.

Parameters
[in]formulathe formula to be used in the LauFormulaPar
[in]parsa vector of LauParameter names to be used in the Formula, in the order specified by the formula
[in]meanthe value of the mean of the Gaussian constraint
[in]widththe value of the width of the Gaussian constraint

Definition at line 1118 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]pdfLista list of Pdfs
Returns
the number of parameters added

Definition at line 1095 of file LauAbsFitModel.cc.

void LauAbsFitModel::addGenNtupleDoubleBranch ( const TString &  name)
protectedvirtual

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

Parameters
[in]namethe name of the branch

Definition at line 405 of file LauAbsFitModel.cc.

void LauAbsFitModel::addGenNtupleIntegerBranch ( const TString &  name)
protectedvirtual

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

Parameters
[in]namethe name of the branch

Definition at line 400 of file LauAbsFitModel.cc.

void LauAbsFitModel::addSPlotNtupleDoubleBranch ( const TString &  name)
protectedvirtual

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

Parameters
[in]namethe name of the branch

Definition at line 440 of file LauAbsFitModel.cc.

void LauAbsFitModel::addSPlotNtupleIntegerBranch ( const TString &  name)
protectedvirtual

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

Parameters
[in]namethe name of the branch

Definition at line 435 of file LauAbsFitModel.cc.

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

The number assigned to a background class.

Parameters
[in]classNamethe name of the class to check
Returns
the background class ID number

Definition at line 251 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]classIDthe ID number of the background class
Returns
the class name

Definition at line 269 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]dataFileNamethe name of the input file
[in]dataTreeNamethe name of the input tree

Definition at line 764 of file LauAbsFitModel.cc.

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

Have all PDFs in the list cache the data.

Parameters
[in]pdfListthe list of pdfs
[in]theDatathe data from the fit

Definition at line 1199 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 780 of file LauAbsFitModel.cc.

void LauAbsFitModel::calculateSPlotData ( )
protectedvirtual

Calculate the sPlot data.

Definition at line 867 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 296 of file LauAbsFitModel.cc.

void LauAbsFitModel::clearFitParVectors ( )
protected

Clear the vectors containing fit parameters.

Definition at line 281 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]toyMCScalethe scale factor to get the number of events to generate
[in]mcFileNamethe file name where the toy sample will be stored
[in]tableFileNamename of the output tex file
[in]poissonSmearingturn smearing on or off

Definition at line 880 of file LauAbsFitModel.cc.

const LauAbsRValuePList& LauAbsFitModel::conPars ( ) const
inlineprotected

Access the Gaussian constrained variables.

Definition at line 663 of file LauAbsFitModel.hh.

LauAbsRValuePList& LauAbsFitModel::conPars ( )
inlineprotected

Definition at line 664 of file LauAbsFitModel.hh.

const TMatrixD& LauAbsFitModel::covarianceMatrix ( ) const
inlineprotected

Access the fit covariance matrix.

Definition at line 689 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]mcFileNamethe file name where the toy sample will be stored
[in]tableFileNamename of the output tex file

Definition at line 889 of file LauAbsFitModel.cc.

Bool_t LauAbsFitModel::doEMLFit ( ) const
inline

Determine whether an extended maximum likelihood fit it being performed.

Definition at line 106 of file LauAbsFitModel.hh.

void LauAbsFitModel::doEMLFit ( Bool_t  emlFit)
inline

Choice to perform an extended maximum likelihood fit.

Parameters
[in]emlFitboolean specifying whether or not to perform the EML

Definition at line 112 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::doPoissonSmearing ( ) const
inline

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

Definition at line 140 of file LauAbsFitModel.hh.

void LauAbsFitModel::doPoissonSmearing ( Bool_t  poissonSmear)
inline

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

Parameters
[in]poissonSmearboolean specifying whether or not to do Poisson smearing

Definition at line 146 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 96 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]sWeightBranchNamename of the branch of the tree containing the sWeights
[in]scaleFactorscaling factor to get the uncertainties correct

Definition at line 207 of file LauAbsFitModel.cc.

Bool_t LauAbsFitModel::enableEmbedding ( ) const
inline

Determine whether embedding of events is enabled in the generation.

Definition at line 149 of file LauAbsFitModel.hh.

void LauAbsFitModel::enableEmbedding ( Bool_t  enable)
inline

Turn on or off embedding of events in the generation.

Parameters
[in]enableboolean specifying whether to embed events

Definition at line 155 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::eventsPerExpt ( ) const
inline

Obtain the total number of events in the current experiment.

Definition at line 207 of file LauAbsFitModel.hh.

void LauAbsFitModel::eventsPerExpt ( UInt_t  nEvents)
inlineprotected

Set the number of events in the current experiment.

Definition at line 507 of file LauAbsFitModel.hh.

const LauParameterList& LauAbsFitModel::extraPars ( ) const
inlineprotected

Access the extra variables.

Definition at line 659 of file LauAbsFitModel.hh.

LauParameterList& LauAbsFitModel::extraPars ( )
inlineprotected

Definition at line 660 of file LauAbsFitModel.hh.

void LauAbsFitModel::fillGenNtupleBranches ( )
protectedvirtual

Fill the gen tuple branches.

Definition at line 430 of file LauAbsFitModel.cc.

void LauAbsFitModel::fillSPlotNtupleBranches ( )
protectedvirtual

Fill the sPlot tuple.

Definition at line 455 of file LauAbsFitModel.cc.

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

Write the results of the fit into the ntuple.

Parameters
[in]tableFileNamethe 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 213 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]dataFileNamethe name of the data file
[in]dataTreeNamethe name of the tree containing the data
[in]histFileNamethe name of the histogram output file
[in]tableFileNameBasethe name the of latex output file

Definition at line 460 of file LauAbsFitModel.cc.

const LauFitDataTree* LauAbsFitModel::fitData ( ) const
inlineprotected

Access the data store.

Definition at line 679 of file LauAbsFitModel.hh.

LauFitDataTree* LauAbsFitModel::fitData ( )
inlineprotected

Definition at line 680 of file LauAbsFitModel.hh.

void LauAbsFitModel::fitExpt ( )
protected

Routine to perform the actual fit for a given experiment.

Definition at line 804 of file LauAbsFitModel.cc.

const LauFitNtuple* LauAbsFitModel::fitNtuple ( ) const
inlineprotected

Access the fit ntuple.

Definition at line 667 of file LauAbsFitModel.hh.

LauFitNtuple* LauAbsFitModel::fitNtuple ( )
inlineprotected

Definition at line 668 of file LauAbsFitModel.hh.

const LauParameterPList& LauAbsFitModel::fitPars ( ) const
inlineprotected

Access the fit variables.

Definition at line 655 of file LauAbsFitModel.hh.

LauParameterPList& LauAbsFitModel::fitPars ( )
inlineprotected

Definition at line 656 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]dataFileNamethe name of the data file
[in]dataTreeNamethe name of the tree containing the data
[in]histFileNamethe name of the histogram output file
[in]tableFileNameBasethe name the of latex output file

Definition at line 575 of file LauAbsFitModel.cc.

Int_t LauAbsFitModel::fitStatus ( ) const
inlineprotected

Access the fit status information.

Definition at line 686 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]dataFileNamethe name of the file where the generated events are stored
[in]dataTreeNamethe name of the tree used to store the variables
[in]histFileNamethe name of the histogram output file (currently not used)
[in]tableFileNameBasethe name the latex output file

Definition at line 328 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 671 of file LauAbsFitModel.hh.

LauGenNtuple* LauAbsFitModel::genNtuple ( )
inlineprotected

Definition at line 672 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]namethe name of the branch
Returns
the value of the parameter

Definition at line 425 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]namethe name of the branch
Returns
the value of the parameter

Definition at line 420 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]iStartthe event number of the first event to be considered
[in]iEndthe event number of the final event to be considered

Definition at line 1027 of file LauAbsFitModel.cc.

Double_t LauAbsFitModel::getLogLikelihoodPenalty ( )
protected

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

Definition at line 1011 of file LauAbsFitModel.cc.

virtual Double_t LauAbsFitModel::getTotEvtLikelihood ( UInt_t  iEvt)
protectedpure virtual

Calculates the likelihood for a given event.

Parameters
[in]iEvtthe 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 988 of file LauAbsFitModel.cc.

UInt_t LauAbsFitModel::iExpt ( ) const
inline

Obtain the number of the current experiment.

Definition at line 216 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 225 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::nExpt ( ) const
inline

Obtain the number of experiments.

Definition at line 210 of file LauAbsFitModel.hh.

Double_t LauAbsFitModel::nll ( ) const
inlineprotected

Access the current NLL value.

Definition at line 683 of file LauAbsFitModel.hh.

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 646 of file LauAbsFitModel.hh.

void LauAbsFitModel::pdfsDependOnDP ( Bool_t  dependOnDP)
inlineprotected

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

Parameters
[in]dependOnDPthe flag to indicated if there is a DP dependence

Definition at line 652 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]iEvtthe event number

Definition at line 1216 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]pdfLista list of Pdfs
[in]foutthe output stream to write to

Definition at line 1175 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 1225 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]pdfListthe list of pdfs
[in]iEvtthe event number

Definition at line 1206 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.

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]applicationCodespecifies what to do, perform a fit ("fit") or generate toy MC ("gen")
[in]dataFileNamethe name of the input data file
[in]dataTreeNamethe name of the tree containing the data
[in]histFileNamethe file name for the output histograms
[in]tableFileNamethe 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]dataFileNamethe name of the input data file
[in]dataTreeNamethe name of the tree containing the data
[in]histFileNamethe file name for the output histograms
[in]tableFileNamethe file name for the latex output file
[in]addressMasterthe hostname of the machine running the master process
[in]portMasterthe port number on which the master process is listening

Definition at line 160 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]coeffSetthe set of coefficients

Implemented in LauCPFitModel, and LauSimpleFitModel.

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

Setup the background class names.

Parameters
[in]namesa vector of all the background names

Definition at line 219 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]namethe name of the branch
[in]valuethe value to be stored

Definition at line 415 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]namethe name of the branch
[in]valuethe value to be stored

Definition at line 410 of file LauAbsFitModel.cc.

void LauAbsFitModel::setGenValues ( )
protected

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

Definition at line 302 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]nBkgndEventscontains 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]nExperimentsthe number of experiments
[in]firstExperimentthe number of the first experiment

Definition at line 201 of file LauAbsFitModel.hh.

virtual void LauAbsFitModel::setNSigEvents ( LauParameter nSigEvents)
pure virtual

Set the number of signal events.

Parameters
[in]nSigEventscontains 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]paran array storing the various parameter values
[in]nparthe number of free parameters

Implements LauFitObject.

Definition at line 1067 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]namethe name of the branch
[in]valuethe value to be stored

Definition at line 450 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]namethe name of the branch
[in]valuethe value to be stored

Definition at line 445 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 675 of file LauAbsFitModel.hh.

LauGenNtuple* LauAbsFitModel::sPlotNtuple ( )
inlineprotected

Definition at line 676 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 188 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 115 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]doTwoStageFitboolean specifying whether or not the two-stage fit should be enabled

Definition at line 128 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]pdfLista list of Pdfs

Definition at line 1168 of file LauAbsFitModel.cc.

Bool_t LauAbsFitModel::useAsymmFitErrors ( ) const
inline

Determine whether calculation of asymmetric errors is enabled.

Definition at line 131 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]useAsymmErrorsboolean specifying whether or not the computation of asymmetric errors is enabled

Definition at line 137 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::useDP ( ) const
inline

Is the Dalitz plot term in the likelihood.

Definition at line 87 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]usingDPthe boolean flag

Definition at line 93 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 191 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 194 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]classNamethe name of the class to check
Returns
true or false

Definition at line 234 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]dataFileNamethe name of the data file
[in]dataTreeNamethe 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]inAsymErrCalcboolean marking that the fit is calculating the asymmetric errors

Implements LauFitObject.

Definition at line 164 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::writeLatexTable ( ) const
inline

Determine whether writing out of the latex table is enabled.

Definition at line 167 of file LauAbsFitModel.hh.

void LauAbsFitModel::writeLatexTable ( Bool_t  writeTable)
inline

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

Parameters
[in]writeTableboolean specifying whether or not the latex table should be written out

Definition at line 173 of file LauAbsFitModel.hh.

void LauAbsFitModel::writeOutAllFitResults ( )
protectedvirtual

Write out any fit results.

Definition at line 859 of file LauAbsFitModel.cc.

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

Write the latex table.

Parameters
[in]outputFilethe 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]fileNamethe sPlot file name
[in]treeNamethe sPlot tree name
[in]storeDPEfficiencywhether or not to store the efficiency information too
[in]verbositydefine the level of output

Definition at line 311 of file LauAbsFitModel.cc.

Bool_t LauAbsFitModel::writeSPlotData ( ) const
inline

Determine whether the sPlot data is to be written out.

Definition at line 185 of file LauAbsFitModel.hh.

Member Data Documentation

LauBkgndClassMap LauAbsFitModel::bkgndClassNames_
private

The background class names.

Definition at line 792 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::compareFitData_
private

Option to make toy from 1st successful experiment.

Definition at line 718 of file LauAbsFitModel.hh.

LauAbsRValuePList LauAbsFitModel::conVars_
private

Internal vectors of Gaussian parameters.

Definition at line 756 of file LauAbsFitModel.hh.

TMatrixD LauAbsFitModel::covMatrix_
private

The fit covariance matrix.

Definition at line 776 of file LauAbsFitModel.hh.

TStopwatch LauAbsFitModel::cumulTimer_
private

The total fit timer.

Definition at line 812 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::doSFit_
private

Option to perfom the sFit.

Definition at line 799 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::emlFit_
private

Option to perform an extended ML fit.

Definition at line 728 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::enableEmbedding_
private

Option to enable embedding.

Definition at line 732 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::evtsPerExpt_
private

The number of events per experiment.

Definition at line 745 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 753 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::firstExpt_
private

The number of the first experiment to consider.

Definition at line 741 of file LauAbsFitModel.hh.

LauFitNtuple* LauAbsFitModel::fitNtuple_
private

The fit ntuple.

Definition at line 763 of file LauAbsFitModel.hh.

Int_t LauAbsFitModel::fitStatus_
private

The status of the fit.

Definition at line 772 of file LauAbsFitModel.hh.

TString LauAbsFitModel::fitToyMCFileName_
private

The output file name for Toy MC.

Definition at line 817 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::fitToyMCPoissonSmear_
private

Option to perform Poisson smearing.

Definition at line 823 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::fitToyMCScale_
private

The scaling factor (toy vs data statistics)

Definition at line 821 of file LauAbsFitModel.hh.

TString LauAbsFitModel::fitToyMCTableName_
private

The output table name for Toy MC.

Definition at line 819 of file LauAbsFitModel.hh.

LauParameterPList LauAbsFitModel::fitVars_
private

Internal vectors of fit parameters.

Definition at line 750 of file LauAbsFitModel.hh.

LauGenNtuple* LauAbsFitModel::genNtuple_
private

The generated ntuple.

Definition at line 765 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::iExpt_
private

The number of the current experiment.

Definition at line 747 of file LauAbsFitModel.hh.

LauFitDataTree* LauAbsFitModel::inputFitData_
private

The input data.

Definition at line 761 of file LauAbsFitModel.hh.

TMessage* LauAbsFitModel::messageFromMaster_
private

Message from master to the slaves.

Definition at line 839 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::nExpt_
private

The number of experiments to consider.

Definition at line 743 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::nFreeParams_
private

The number of free fit parameters.

Definition at line 784 of file LauAbsFitModel.hh.

Double_t LauAbsFitModel::NLL_
private

The negative log-likelihood.

Definition at line 774 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::nParams_
private

The number of fit parameters.

Definition at line 782 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::nSlaves_
private

The total number of slaves.

Definition at line 843 of file LauAbsFitModel.hh.

const TString LauAbsFitModel::nullString_
private

An empty string.

Definition at line 794 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::numberBadFits_
private

The number of bad fits.

Definition at line 780 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::numberOKFits_
private

The number of good fits.

Definition at line 778 of file LauAbsFitModel.hh.

Double_t* LauAbsFitModel::parValues_
private

Parameter values array (for reading from the master)

Definition at line 845 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::pdfsDependOnDP_
private

Option to state if pdfs depend on DP position.

Definition at line 736 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::poissonSmear_
private

Option to perform Poisson smearing.

Definition at line 730 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::randomFit_
private

Option to randomise the initial values of the fit parameters.

Definition at line 726 of file LauAbsFitModel.hh.

UInt_t LauAbsFitModel::slaveId_
private

Slave id number.

Definition at line 841 of file LauAbsFitModel.hh.

TSocket* LauAbsFitModel::sMaster_
private

A socket to enable parallel setup.

Definition at line 837 of file LauAbsFitModel.hh.

TString LauAbsFitModel::sPlotFileName_
private

The name of the sPlot file.

Definition at line 828 of file LauAbsFitModel.hh.

LauGenNtuple* LauAbsFitModel::sPlotNtuple_
private

The sPlot ntuple.

Definition at line 767 of file LauAbsFitModel.hh.

TString LauAbsFitModel::sPlotTreeName_
private

The name of the sPlot tree.

Definition at line 830 of file LauAbsFitModel.hh.

TString LauAbsFitModel::sPlotVerbosity_
private

Control the verbosity of the sFit.

Definition at line 832 of file LauAbsFitModel.hh.

std::vector<StoreConstraints> LauAbsFitModel::storeCon_
private

Store the constraints for fit parameters until initialisation is complete.

Definition at line 709 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::storeDPEff_
private

Option to store DP efficiencies in the sPlot ntuple.

Definition at line 724 of file LauAbsFitModel.hh.

TString LauAbsFitModel::sWeightBranchName_
private

The name of the sWeight branch.

Definition at line 801 of file LauAbsFitModel.hh.

std::vector<Double_t> LauAbsFitModel::sWeights_
private

The vector of sWeights.

Definition at line 803 of file LauAbsFitModel.hh.

Double_t LauAbsFitModel::sWeightScaleFactor_
private

The sWeight scaling factor.

Definition at line 805 of file LauAbsFitModel.hh.

TStopwatch LauAbsFitModel::timer_
private

The fit timer.

Definition at line 810 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::twoStageFit_
private

Option to perform a two stage fit.

Definition at line 714 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::useAsymmFitErrors_
private

Option to use asymmetric errors.

Definition at line 716 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::usingDP_
private

Option to include the DP as part of the fit.

Definition at line 734 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 788 of file LauAbsFitModel.hh.

Double_t LauAbsFitModel::worstLogLike_
private

The worst LL value found so far.

Definition at line 786 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::writeLatexTable_
private

Option to output a Latex format table.

Definition at line 720 of file LauAbsFitModel.hh.

Bool_t LauAbsFitModel::writeSPlotData_
private

Option to write sPlot data.

Definition at line 722 of file LauAbsFitModel.hh.


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