RooBinSamplingPdf Class Reference

The RooBinSamplingPdf is supposed to be used as an adapter between a continuous PDF and a binned distribution.

When RooFit is used to fit binned data, and the PDF is continuous, it takes the probability density at the bin centre as a proxy for the probability averaged (integrated) over the entire bin. This is correct only if the second derivative of the function vanishes, though. This is shown in the plots below.

For PDFs that have larger curvatures, the RooBinSamplingPdf can be used. It integrates the PDF in each bin using an adaptive integrator. This usually requires 21 times more function evaluations, but significantly reduces biases due to better sampling of the PDF. The integrator can be accessed from the outside using integrator(). This can be used to change the integration rules, so less/more function evaluations are performed. The target precision of the integrator can be set in the constructor.

How to use it

There are two ways to use this class:

• Manually wrap a PDF:

  RooBinSamplingPdf binSampler("<name>", "title", <binned observable of PDF>, <original PDF> [, <precision for integrator>]);
  binSampler.fitTo(data);

  When a PDF is wrapped with a RooBinSamplingPDF, just use the bin sampling PDF instead of the original one for fits or plotting etc. Note that the binning will be taken from the observable.
• Instruct test statistics to carry out this wrapping automatically:

  pdf.fitTo(data, IntegrateBins(<precision>));

  This method is especially useful when used with a simultaneous PDF, since each component will automatically be wrapped, depending on the value of precision:
  • precision < 0.: None of the PDFs are touched, bin sampling is off.
  • precision = 0.: Continuous PDFs that are fit to a RooDataHist are wrapped into a RooBinSamplingPdf. The target precision forwarded to the integrator is 1.E-4 (the default argument of the constructor).
  • precision > 0.: All continuous PDFs are automatically wrapped into a RooBinSamplingPdf, regardless of what data they are fit to (see next paragraph). The same ‘'precision’` is used for all integrators.

Simulating a binned fit using RooDataSet

Some frameworks use unbinned data (RooDataSet) to simulate binned datasets. By adding one entry for each bin centre with the appropriate weight, one can achieve the same result as fitting with RooDataHist. In this case, however, RooFit cannot auto-detect that a binned fit is running, and that an integration over the bin is desired (note that there are no bins to integrate over in this kind of dataset).

In this case, IntegrateBins(>0.) needs to be used, and the desired binning needs to be assigned to the observable of the dataset:

RooRealVar x("x", "x", 0., 5.);
x.setBins(10);
 
// <create dataset and model>
 
model.fitTo(data, IntegrateBins(>0.));

See also

RooAbsPdf::fitTo()

IntegrateBins()

Note

This feature is currently limited to one-dimensional PDFs.

Binned fit without RooBinSamplingPdf	Binned fit with RooBinSamplingPdf

Definition at line 28 of file RooBinSamplingPdf.h.

Public Member Functions
	RooBinSamplingPdf ()
	RooBinSamplingPdf (const char *name, const char *title, RooAbsRealLValue &observable, RooAbsPdf &inputPdf, double epsilon=1.E-4)
	Construct a new RooBinSamplingPdf.
	RooBinSamplingPdf (const RooBinSamplingPdf &other, const char *name=0)
	Copy a RooBinSamplingPdf.
virtual	~RooBinSamplingPdf ()
double	analyticalIntegral (Int_t code, const char *rangeName=0) const override
	Forwards to the PDF's implementation.
double	analyticalIntegralWN (Int_t code, const RooArgSet *normSet, const char *rangeName) const override
	Forwards to the PDF's implementation.
std::list< double > *	binBoundaries (RooAbsRealLValue &obs, Double_t xlo, Double_t xhi) const override
	Return a list of all bin boundaries, so the PDF is plotted correctly.
virtual TObject *	clone (const char *newname) const override
virtual Double_t	expectedEvents (const RooArgSet &nset) const
	Return expected number of events to be used in calculation of extended likelihood.
virtual Double_t	expectedEvents (const RooArgSet *nset) const
	Return expected number of events from this p.d.f for use in extended likelihood calculations.
virtual Double_t	expectedEvents (const RooArgSet *nset) const override
	Return expected number of events from this p.d.f for use in extended likelihood calculations.
ExtendMode	extendMode () const override
	Returns ability of PDF to provide extended likelihood terms.
Bool_t	forceAnalyticalInt (const RooAbsArg &dep) const override
void	generateEvent (Int_t code) override
	Forwards to the PDF's implementation.
Int_t	getAnalyticalIntegral (RooArgSet &allVars, RooArgSet &numVars, const char *rangeName=0) const override
	Forwards to the PDF's implementation.
Int_t	getAnalyticalIntegralWN (RooArgSet &allVars, RooArgSet &analVars, const RooArgSet *normSet, const char *rangeName=0) const override
	Forwards to the PDF's implementation.
Int_t	getGenerator (const RooArgSet &directVars, RooArgSet &generateVars, bool staticInitOK=true) const override
	Forwards to the PDF's implementation.
Int_t	getMaxVal (const RooArgSet &vars) const override
	Advertise capability to determine maximum value of function for given set of observables.
void	initGenerator (Int_t code) override
	Forwards to the PDF's implementation.
std::unique_ptr< ROOT::Math::IntegratorOneDim > &	integrator () const
	Direct access to the unique_ptr holding the integrator that's used to sample the bins.
bool	isBinnedDistribution (const RooArgSet &) const override
	Returns true, since this PDF is meant to be binned.
Bool_t	isDirectGenSafe (const RooAbsArg &arg) const override
	Forwards to the PDF's implementation.
Double_t	maxVal (Int_t code) const override
	Return maximum value for set of observables identified by code assigned in getMaxVal.
Int_t	minTrialSamples (const RooArgSet &arGenObs) const override
std::list< double > *	plotSamplingHint (RooAbsRealLValue &obs, double xlo, double xhi) const override
	Return a list of all bin edges, so the PDF is plotted as a step function.
bool	selfNormalized () const override
	Since contained PDF is already normalised, this always returns true.
Public Member Functions inherited from RooAbsPdf
	RooAbsPdf ()
	Default constructor.
	RooAbsPdf (const char *name, const char *title, Double_t minVal, Double_t maxVal)
	Constructor with name, title, and plot range.
	RooAbsPdf (const char *name, const char *title=0)
	Constructor with name and title only.
virtual	~RooAbsPdf ()
	Destructor.
virtual RooAbsGenContext *	autoGenContext (const RooArgSet &vars, const RooDataSet *prototype=0, const RooArgSet *auxProto=0, Bool_t verbose=kFALSE, Bool_t autoBinned=kTRUE, const char *binnedTag="") const
virtual RooAbsGenContext *	binnedGenContext (const RooArgSet &vars, Bool_t verbose=kFALSE) const
	Return a binned generator context.
Bool_t	canBeExtended () const
	If true, PDF can provide extended likelihood term.
virtual RooFitResult *	chi2FitTo (RooDataHist &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Perform a \( \chi^2 \) fit to given histogram.
virtual RooFitResult *	chi2FitTo (RooDataHist &data, const RooLinkedList &cmdList)
	Perform a \( \chi^2 \) fit to given histogram.
virtual RooFitResult *	chi2FitTo (RooDataHist &data, const RooLinkedList &cmdList)
	Calls RooAbsPdf::createChi2(RooDataSet& data, const RooLinkedList& cmdList) and returns fit result.
virtual RooFitResult *	chi2FitTo (RooDataSet &xydata, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Perform a 2-D \( \chi^2 \) fit using a series of x and y values stored in the dataset xydata.
virtual RooFitResult *	chi2FitTo (RooDataSet &xydata, const RooLinkedList &cmdList)
	Perform a 2-D \( \chi^2 \) fit using a series of x and y values stored in the dataset xydata.
RooAbsReal *	createCdf (const RooArgSet &iset, const RooArgSet &nset=RooArgSet())
	Create a cumulative distribution function of this p.d.f in terms of the observables listed in iset.
RooAbsReal *	createCdf (const RooArgSet &iset, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Create an object that represents the integral of the function over one or more observables listed in iset.
virtual RooAbsReal *	createChi2 (RooDataHist &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Create a \( \chi^2 \) variable from a histogram and this function.
virtual RooAbsReal *	createChi2 (RooDataHist &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Create a \( \chi^2 \) from a histogram and this function.
virtual RooAbsReal *	createChi2 (RooDataHist &data, const RooLinkedList &cmdList)
	Create a \( \chi^2 \) variable from a histogram and this function.
virtual RooAbsReal *	createChi2 (RooDataSet &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Create a \( \chi^2 \) from a series of x and y values stored in a dataset.
virtual RooAbsReal *	createChi2 (RooDataSet &data, const RooLinkedList &cmdList)
	See RooAbsReal::createChi2(RooDataSet&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&)
virtual RooAbsReal *	createChi2 (RooDataSet &data, const RooLinkedList &cmdList)
	Argument-list version of RooAbsPdf::createChi2()
virtual RooAbsReal *	createNLL (RooAbsData &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Construct representation of -log(L) of PDF with given dataset.
virtual RooAbsReal *	createNLL (RooAbsData &data, const RooLinkedList &cmdList)
	Construct representation of -log(L) of PDFwith given dataset.
virtual RooAbsPdf *	createProjection (const RooArgSet &iset)
	Return a p.d.f that represent a projection of this p.d.f integrated over given observables.
RooAbsReal *	createScanCdf (const RooArgSet &iset, const RooArgSet &nset, Int_t numScanBins, Int_t intOrder)
virtual Double_t	extendedTerm (Double_t observedEvents, const RooArgSet *nset=0) const
	Return the extended likelihood term ( \( N_\mathrm{expect} - N_\mathrm{observed} \cdot \log(N_\mathrm{expect} \)) of this PDF for the given number of observed events.
virtual RooFitResult *	fitTo (RooAbsData &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Fit PDF to given dataset.
virtual RooFitResult *	fitTo (RooAbsData &data, const RooLinkedList &cmdList)
	Fit PDF to given dataset.
virtual RooAbsGenContext *	genContext (const RooArgSet &vars, const RooDataSet *prototype=0, const RooArgSet *auxProto=0, Bool_t verbose=kFALSE) const
	Interface function to create a generator context from a p.d.f.
RooDataSet *	generate (const RooArgSet &whatVars, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none())
	Generate a new dataset containing the specified variables with events sampled from our distribution.
RooDataSet *	generate (const RooArgSet &whatVars, const RooDataSet &prototype, Int_t nEvents=0, Bool_t verbose=kFALSE, Bool_t randProtoOrder=kFALSE, Bool_t resampleProto=kFALSE) const
	Generate a new dataset using a prototype dataset as a model, with values of the variables in whatVars sampled from our distribution.
RooDataSet *	generate (const RooArgSet &whatVars, Double_t nEvents=0, Bool_t verbose=kFALSE, Bool_t autoBinned=kTRUE, const char *binnedTag="", Bool_t expectedData=kFALSE, Bool_t extended=kFALSE) const
	Generate a new dataset containing the specified variables with events sampled from our distribution.
RooDataSet *	generate (const RooArgSet &whatVars, Int_t nEvents, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none())
	See RooAbsPdf::generate(const RooArgSet&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&)
RooDataSet *	generate (GenSpec &) const
	Generate according to GenSpec obtained from prepareMultiGen().
virtual RooDataHist *	generateBinned (const RooArgSet &whatVars, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none()) const
	Generate a new dataset containing the specified variables with events sampled from our distribution.
virtual RooDataHist *	generateBinned (const RooArgSet &whatVars, Double_t nEvents, Bool_t expectedData=kFALSE, Bool_t extended=kFALSE) const
	Generate a new dataset containing the specified variables with events sampled from our distribution.
virtual RooDataHist *	generateBinned (const RooArgSet &whatVars, Double_t nEvents, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none()) const
	As RooAbsPdf::generateBinned(const RooArgSet&, const RooCmdArg&,const RooCmdArg&, const RooCmdArg&,const RooCmdArg&, const RooCmdArg&,const RooCmdArg&)
virtual RooDataSet *	generateSimGlobal (const RooArgSet &whatVars, Int_t nEvents)
	Special generator interface for generation of 'global observables' – for RooStats tools.
virtual RooArgSet *	getAllConstraints (const RooArgSet &observables, RooArgSet &constrainedParams, Bool_t stripDisconnected=kTRUE) const
	This helper function finds and collects all constraints terms of all component p.d.f.s and returns a RooArgSet with all those terms.
virtual RooArgSet *	getConstraints (const RooArgSet &, RooArgSet &, Bool_t) const
const RooNumGenConfig *	getGeneratorConfig () const
	Return the numeric MC generator configuration used for this object.
RooSpan< const double >	getLogProbabilities (RooBatchCompute::RunContext &evalData, const RooArgSet *normSet=nullptr) const
	Compute the log-likelihoods for all events in the requested batch.
virtual Double_t	getLogVal (const RooArgSet *set=0) const
	Return the log of the current value with given normalization An error message is printed if the argument of the log is negative.
RooSpan< const double >	getLogValBatch (std::size_t begin, std::size_t batchSize, const RooArgSet *normSet=nullptr) const
Double_t	getNorm (const RooArgSet &nset) const
	Get normalisation term needed to normalise the raw values returned by getVal().
virtual Double_t	getNorm (const RooArgSet *set=0) const
	Get normalisation term needed to normalise the raw values returned by getVal().
const RooAbsReal *	getNormIntegral (const RooArgSet &nset) const
virtual const RooAbsReal *	getNormObj (const RooArgSet *set, const RooArgSet *iset, const TNamed *rangeName=0) const
	Return pointer to RooAbsReal object that implements calculation of integral over observables iset in range rangeName, optionally taking the integrand normalized over observables nset.
RooSpan< const double >	getValues (RooBatchCompute::RunContext &evalData, const RooArgSet *normSet) const
	Compute batch of values for given input data, and normalise by integrating over the observables in normSet.
virtual Double_t	getValV (const RooArgSet *set=0) const
	Return current value, normalized by integrating over the observables in nset.
Bool_t	mustBeExtended () const
	If true PDF must provide extended likelihood term.
const char *	normRange () const
virtual RooPlot *	paramOn (RooPlot *frame, const RooAbsData *data, const char *label="", Int_t sigDigits=2, Option_t *options="NELU", Double_t xmin=0.50, Double_t xmax=0.99, Double_t ymax=0.95)
virtual RooPlot *	paramOn (RooPlot *frame, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Add a box with parameter values (and errors) to the specified frame.
virtual RooPlot *	plotOn (RooPlot *frame, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none(), const RooCmdArg &arg9=RooCmdArg::none(), const RooCmdArg &arg10=RooCmdArg::none()) const
	Helper calling plotOn(RooPlot*, RooLinkedList&) const.
virtual RooPlot *	plotOn (RooPlot *frame, RooLinkedList &cmdList) const
	Plot (project) PDF on specified frame.
GenSpec *	prepareMultiGen (const RooArgSet &whatVars, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none())
	Prepare GenSpec configuration object for efficient generation of multiple datasets from identical specification.
virtual void	printMultiline (std::ostream &os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const
	Print multi line detailed information of this RooAbsPdf.
virtual void	printValue (std::ostream &os) const
	Print value of p.d.f, also print normalization integral that was last used, if any.
virtual void	resetErrorCounters (Int_t resetValue=10)
	Reset error counter to given value, limiting the number of future error messages for this pdf to 'resetValue'.
void	setGeneratorConfig ()
	Remove the specialized numeric MC generator configuration associated with this object.
void	setGeneratorConfig (const RooNumGenConfig &config)
	Set the given configuration as default numeric MC generator configuration for this object.
void	setNormRange (const char *rangeName)
void	setNormRangeOverride (const char *rangeName)
void	setTraceCounter (Int_t value, Bool_t allNodes=kFALSE)
	Reset trace counter to given value, limiting the number of future trace messages for this pdf to 'value'.
RooNumGenConfig *	specialGeneratorConfig () const
	Returns the specialized integrator configuration for this RooAbsReal.
RooNumGenConfig *	specialGeneratorConfig (Bool_t createOnTheFly)
	Returns the specialized integrator configuration for this RooAbsReal.
Public Member Functions inherited from RooAbsReal
	RooAbsReal ()
	coverity[UNINIT_CTOR] Default constructor
	RooAbsReal (const char *name, const char *title, const char *unit="")
	Constructor with unit label.
	RooAbsReal (const char *name, const char *title, Double_t minVal, Double_t maxVal, const char *unit="")
	Constructor with plot range and unit label.
	RooAbsReal (const RooAbsReal &other, const char *name=0)
	Copy constructor.
virtual	~RooAbsReal ()
	Destructor.
TF1 *	asTF (const RooArgList &obs, const RooArgList &pars=RooArgList(), const RooArgSet &nset=RooArgSet()) const
	Return a ROOT TF1,2,3 object bound to this RooAbsReal with given definition of observables and parameters.
RooAbsFunc *	bindVars (const RooArgSet &vars, const RooArgSet *nset=0, Bool_t clipInvalid=kFALSE) const
	Create an interface adaptor f(vars) that binds us to the specified variables (in arbitrary order).
RooAbsArg *	createFundamental (const char *newname=0) const
	Create a RooRealVar fundamental object with our properties.
TH1 *	createHistogram (const char *name, const RooAbsRealLValue &xvar, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) const
	Create and fill a ROOT histogram TH1, TH2 or TH3 with the values of this function.
TH1 *	createHistogram (const char *name, const RooAbsRealLValue &xvar, RooLinkedList &argList) const
	Internal method implementing createHistogram.
TH1 *	createHistogram (const char *varNameList, Int_t xbins=0, Int_t ybins=0, Int_t zbins=0) const
	Create and fill a ROOT histogram TH1, TH2 or TH3 with the values of this function for the variables with given names.
RooAbsReal *	createIntegral (const RooArgSet &iset, const char *rangeName) const
	Create integral over observables in iset in range named rangeName.
RooAbsReal *	createIntegral (const RooArgSet &iset, const RooArgSet &nset, const char *rangeName=0) const
	Create integral over observables in iset in range named rangeName with integrand normalized over observables in nset.
RooAbsReal *	createIntegral (const RooArgSet &iset, const RooArgSet &nset, const RooNumIntConfig &cfg, const char *rangeName=0) const
	Create integral over observables in iset in range named rangeName with integrand normalized over observables in nset while using specified configuration for any numeric integration.
virtual RooAbsReal *	createIntegral (const RooArgSet &iset, const RooArgSet *nset=0, const RooNumIntConfig *cfg=0, const char *rangeName=0) const
	Create an object that represents the integral of the function over one or more observables listed in iset.
RooAbsReal *	createIntegral (const RooArgSet &iset, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) const
	Create an object that represents the integral of the function over one or more observables listed in iset.
RooAbsReal *	createIntegral (const RooArgSet &iset, const RooNumIntConfig &cfg, const char *rangeName=0) const
	Create integral over observables in iset in range named rangeName using specified configuration for any numeric integration.
RooAbsReal *	createIntRI (const RooArgSet &iset, const RooArgSet &nset=RooArgSet())
	Utility function for createRunningIntegral.
const RooAbsReal *	createPlotProjection (const RooArgSet &dependentVars, const RooArgSet *projectedVars, RooArgSet *&cloneSet, const char *rangeName=0, const RooArgSet *condObs=0) const
	Utility function for plotOn() that creates a projection of a function or p.d.f to be plotted on a RooPlot.
const RooAbsReal *	createPlotProjection (const RooArgSet &depVars, const RooArgSet &projVars) const
	Utility function for plotOn() that creates a projection of a function or p.d.f to be plotted on a RooPlot.
const RooAbsReal *	createPlotProjection (const RooArgSet &depVars, const RooArgSet &projVars, RooArgSet *&cloneSet) const
	Utility function for plotOn() that creates a projection of a function or p.d.f to be plotted on a RooPlot.
virtual RooAbsReal *	createProfile (const RooArgSet &paramsOfInterest)
	Create a RooProfileLL object that eliminates all nuisance parameters in the present function.
RooAbsReal *	createRunningIntegral (const RooArgSet &iset, const RooArgSet &nset=RooArgSet())
	Calls createRunningIntegral(const RooArgSet&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&)
RooAbsReal *	createRunningIntegral (const RooArgSet &iset, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
	Create an object that represents the running integral of the function over one or more observables listed in iset, i.e.
RooAbsReal *	createScanRI (const RooArgSet &iset, const RooArgSet &nset, Int_t numScanBins, Int_t intOrder)
	Utility function for createRunningIntegral that construct an object implementing the numeric scanning technique for calculating the running integral.
virtual Double_t	defaultErrorLevel () const
RooDerivative *	derivative (RooRealVar &obs, const RooArgSet &normSet, Int_t order, Double_t eps=0.001)
	Return function representing first, second or third order derivative of this function.
RooDerivative *	derivative (RooRealVar &obs, Int_t order=1, Double_t eps=0.001)
	Return function representing first, second or third order derivative of this function.
virtual void	enableOffsetting (Bool_t)
RooDataHist *	fillDataHist (RooDataHist *hist, const RooArgSet *nset, Double_t scaleFactor, Bool_t correctForBinVolume=kFALSE, Bool_t showProgress=kFALSE) const
	Fill a RooDataHist with values sampled from this function at the bin centers.
TH1 *	fillHistogram (TH1 *hist, const RooArgList &plotVars, Double_t scaleFactor=1, const RooArgSet *projectedVars=0, Bool_t scaling=kTRUE, const RooArgSet *condObs=0, Bool_t setError=kTRUE) const
	Fill the ROOT histogram 'hist' with values sampled from this function at the bin centers.
Double_t	findRoot (RooRealVar &x, Double_t xmin, Double_t xmax, Double_t yval)
	Return value of x (in range xmin,xmax) at which function equals yval.
virtual void	fixAddCoefNormalization (const RooArgSet &addNormSet=RooArgSet(), Bool_t force=kTRUE)
	Fix the interpretation of the coefficient of any RooAddPdf component in the expression tree headed by this object to the given set of observables.
virtual void	fixAddCoefRange (const char *rangeName=0, Bool_t force=kTRUE)
	Fix the interpretation of the coefficient of any RooAddPdf component in the expression tree headed by this object to the given set of observables.
virtual void	forceNumInt (Bool_t flag=kTRUE)
RooFunctor *	functor (const RooArgList &obs, const RooArgList &pars=RooArgList(), const RooArgSet &nset=RooArgSet()) const
	Return a RooFunctor object bound to this RooAbsReal with given definition of observables and parameters.
Bool_t	getForceNumInt () const
RooNumIntConfig *	getIntegratorConfig ()
	Return the numeric integration configuration used for this object.
const RooNumIntConfig *	getIntegratorConfig () const
	Return the numeric integration configuration used for this object.
const char *	getPlotLabel () const
	Get the label associated with the variable.
Double_t	getPropagatedError (const RooFitResult &fr, const RooArgSet &nset=RooArgSet()) const
	Calculate error on self by linearly propagating errors on parameters using the covariance matrix from a fit result.
TString	getTitle (Bool_t appendUnit=kFALSE) const
	Return this variable's title string.
const Text_t *	getUnit () const
Double_t	getVal (const RooArgSet &normalisationSet) const
	Like getVal(const RooArgSet*), but always requires an argument for normalisation.
Double_t	getVal (const RooArgSet *normalisationSet=nullptr) const
	Evaluate object.
virtual RooSpan< const double >	getValBatch (std::size_t, std::size_t, const RooArgSet *=nullptr)=delete
RooMultiGenFunction *	iGenFunction (const RooArgSet &observables, const RooArgSet &nset=RooArgSet())
RooGenFunction *	iGenFunction (RooRealVar &x, const RooArgSet &nset=RooArgSet())
virtual Bool_t	isIdentical (const RooAbsArg &other, Bool_t assumeSameType=kFALSE) const
virtual Bool_t	isOffsetting () const
void	logEvalError (const char *message, const char *serverValueString=0) const
	Log evaluation error message.
RooAbsMoment *	mean (RooRealVar &obs)
RooAbsMoment *	mean (RooRealVar &obs, const RooArgSet &nset)
RooAbsMoment *	moment (RooRealVar &obs, const RooArgSet &normObs, Int_t order, Bool_t central, Bool_t takeRoot, Bool_t intNormObs)
	Return function representing moment of p.d.f (normalized w.r.t given observables) of given order.
RooAbsMoment *	moment (RooRealVar &obs, Int_t order, Bool_t central, Bool_t takeRoot)
	Return function representing moment of function of given order.
virtual Double_t	offset () const
RooAbsReal &	operator= (const RooAbsReal &other)
	Assign values, name and configs from another RooAbsReal.
virtual Bool_t	operator== (const RooAbsArg &other) const
	Equality operator when comparing to another RooAbsArg.
Bool_t	operator== (Double_t value) const
	Equality operator comparing to a Double_t.
virtual RooPlot *	plotSliceOn (RooPlot *frame, const RooArgSet &sliceSet, Option_t *drawOptions="L", Double_t scaleFactor=1.0, ScaleType stype=Relative, const RooAbsData *projData=0) const
virtual void	preferredObservableScanOrder (const RooArgSet &obs, RooArgSet &orderedObs) const
	Interface method for function objects to indicate their preferred order of observables for scanning their values into a (multi-dimensional) histogram or RooDataSet.
virtual Bool_t	readFromStream (std::istream &is, Bool_t compact, Bool_t verbose=kFALSE)
	Read object contents from stream (dummy for now)
virtual Bool_t	setData (RooAbsData &, Bool_t=kTRUE)
void	setIntegratorConfig ()
	Remove the specialized numeric integration configuration associated with this object.
void	setIntegratorConfig (const RooNumIntConfig &config)
	Set the given integrator configuration as default numeric integration configuration for this object.
void	setParameterizeIntegral (const RooArgSet &paramVars)
void	setPlotLabel (const char *label)
	Set the label associated with this variable.
void	setUnit (const char *unit)
RooAbsMoment *	sigma (RooRealVar &obs)
RooAbsMoment *	sigma (RooRealVar &obs, const RooArgSet &nset)
RooNumIntConfig *	specialIntegratorConfig () const
	Returns the specialized integrator configuration for this RooAbsReal.
RooNumIntConfig *	specialIntegratorConfig (Bool_t createOnTheFly)
	Returns the specialized integrator configuration for this RooAbsReal.
virtual void	writeToStream (std::ostream &os, Bool_t compact) const
	Write object contents to stream (dummy for now)
Public Member Functions inherited from RooAbsArg
	RooAbsArg ()
	Default constructor.
	RooAbsArg (const char *name, const char *title)
	Create an object with the specified name and descriptive title.
	RooAbsArg (const RooAbsArg &other, const char *name=0)
	Copy constructor transfers all boolean and string properties of the original object.
virtual	~RooAbsArg ()
	Destructor.
Bool_t	addOwnedComponents (const RooArgSet &comps)
	Take ownership of the contents of 'comps'.
void	attachDataSet (const RooAbsData &set)
	Replace server nodes with names matching the dataset variable names with those data set variables, making this PDF directly dependent on the dataset.
void	attachDataStore (const RooAbsDataStore &set)
	Replace server nodes with names matching the dataset variable names with those data set variables, making this PDF directly dependent on the dataset.
const std::set< std::string > &	attributes () const
virtual Bool_t	checkObservables (const RooArgSet *nset) const
	Overloadable function in which derived classes can implement consistency checks of the variables.
virtual TObject *	Clone (const char *newname=0) const
	Make a clone of an object using the Streamer facility.
virtual RooAbsArg *	cloneTree (const char *newname=0) const
	Clone tree expression of objects.
Int_t	Compare (const TObject *other) const
	Utility function used by TCollection::Sort to compare contained TObjects We implement comparison by name, resulting in alphabetical sorting by object name.
virtual Int_t	defaultPrintContents (Option_t *opt) const
	Define default contents to print.
Bool_t	dependsOn (const RooAbsArg &server, const RooAbsArg *ignoreArg=0, Bool_t valueOnly=kFALSE) const
	Test whether we depend on (ie, are served by) the specified object.
Bool_t	dependsOn (const RooAbsCollection &serverList, const RooAbsArg *ignoreArg=0, Bool_t valueOnly=kFALSE) const
	Test whether we depend on (ie, are served by) any object in the specified collection.
Bool_t	dependsOnValue (const RooAbsArg &server, const RooAbsArg *ignoreArg=0) const
	Check whether this object depends on values served from the object passed as server.
Bool_t	dependsOnValue (const RooAbsCollection &serverList, const RooAbsArg *ignoreArg=0) const
	Check whether this object depends on values from an element in the serverList.
Bool_t	getAttribute (const Text_t *name) const
	Check if a named attribute is set. By default, all attributes are unset.
RooLinkedList	getCloningAncestors () const
	Return ancestors in cloning chain of this RooAbsArg.
RooArgSet *	getComponents () const
	Create a RooArgSet with all components (branch nodes) of the expression tree headed by this object.
RooArgSet *	getObservables (const RooAbsData &data) const
	Return the observables of this pdf given the observables defined by data.
RooArgSet *	getObservables (const RooAbsData *data) const
	Create a list of leaf nodes in the arg tree starting with ourself as top node that match any of the names of the variable list of the supplied data set (the dependents).
RooArgSet *	getObservables (const RooArgSet &set, Bool_t valueOnly=kTRUE) const
	Given a set of possible observables, return the observables that this PDF depends on.
RooArgSet *	getObservables (const RooArgSet *depList, bool valueOnly=true) const
	Create a list of leaf nodes in the arg tree starting with ourself as top node that match any of the names the args in the supplied argset.
bool	getObservables (const RooArgSet *depList, RooArgSet &outputSet, bool valueOnly=true) const
	Create a list of leaf nodes in the arg tree starting with ourself as top node that match any of the names the args in the supplied argset.
RooArgSet *	getParameters (const RooAbsData &data, bool stripDisconnected=true) const
	Return the parameters of this p.d.f when used in conjuction with dataset 'data'.
RooArgSet *	getParameters (const RooAbsData *data, bool stripDisconnected=true) const
	Create a list of leaf nodes in the arg tree starting with ourself as top node that don't match any of the names of the variable list of the supplied data set (the dependents).
RooArgSet *	getParameters (const RooArgSet &observables, bool stripDisconnected=true) const
	Return the parameters of the p.d.f given the provided set of observables.
RooArgSet *	getParameters (const RooArgSet *observables, bool stripDisconnected=true) const
	Create a list of leaf nodes in the arg tree starting with ourself as top node that don't match any of the names the args in the supplied argset.
virtual bool	getParameters (const RooArgSet *observables, RooArgSet &outputSet, bool stripDisconnected=true) const
	Fills a list with leaf nodes in the arg tree starting with ourself as top node that don't match any of the names the args in the supplied argset.
RooAbsProxy *	getProxy (Int_t index) const
	Return the nth proxy from the proxy list.
const Text_t *	getStringAttribute (const Text_t *key) const
	Get string attribute mapped under key 'key'.
Bool_t	getTransientAttribute (const Text_t *name) const
	Check if a named attribute is set.
RooArgSet *	getVariables (Bool_t stripDisconnected=kTRUE) const
	Return RooArgSet with all variables (tree leaf nodes of expresssion tree)
void	graphVizTree (const char *fileName, const char *delimiter="\n", bool useTitle=false, bool useLatex=false)
	Create a GraphViz .dot file visualizing the expression tree headed by this RooAbsArg object.
void	graphVizTree (std::ostream &os, const char *delimiter="\n", bool useTitle=false, bool useLatex=false)
	Write the GraphViz representation of the expression tree headed by this RooAbsArg object to the given ostream.
Bool_t	hasClients () const
virtual Bool_t	hasRange (const char *) const
virtual Bool_t	importWorkspaceHook (RooWorkspace &ws)
virtual Bool_t	inRange (const char *) const
Bool_t	isCloneOf (const RooAbsArg &other) const
	Check if this object was created as a clone of 'other'.
Bool_t	isConstant () const
	Check if the "Constant" attribute is set.
virtual Bool_t	isDerived () const
	Does value or shape of this arg depend on any other arg?
virtual Bool_t	IsSortable () const
Bool_t	localNoDirtyInhibit () const
const TNamed *	namePtr () const
Int_t	numProxies () const
	Return the number of registered proxies.
Bool_t	observableOverlaps (const RooAbsData *dset, const RooAbsArg &testArg) const
	Test if any of the dependents of the arg tree (as determined by getObservables) overlaps with those of the testArg.
Bool_t	observableOverlaps (const RooArgSet *depList, const RooAbsArg &testArg) const
	Test if any of the dependents of the arg tree (as determined by getObservables) overlaps with those of the testArg.
RooAbsArg &	operator= (const RooAbsArg &other)
	Assign all boolean and string properties of the original object.
Bool_t	overlaps (const RooAbsArg &testArg, Bool_t valueOnly=kFALSE) const
	Test if any of the nodes of tree are shared with that of the given tree.
const RooArgSet *	ownedComponents () const
virtual void	Print (Option_t *options=0) const
	Print the object to the defaultPrintStream().
virtual void	printAddress (std::ostream &os) const
	Print class name of object.
virtual void	printArgs (std::ostream &os) const
	Print object arguments, ie its proxies.
virtual void	printClassName (std::ostream &os) const
	Print object class name.
void	printCompactTree (const char *indent="", const char *fileName=0, const char *namePat=0, RooAbsArg *client=0)
	Print tree structure of expression tree on stdout, or to file if filename is specified.
void	printCompactTree (std::ostream &os, const char *indent="", const char *namePat=0, RooAbsArg *client=0)
	Print tree structure of expression tree on given ostream.
virtual void	printCompactTreeHook (std::ostream &os, const char *ind="")
	Hook function interface for object to insert additional information when printed in the context of a tree structure.
void	printComponentTree (const char *indent="", const char *namePat=0, Int_t nLevel=999)
	Print tree structure of expression tree on given ostream, only branch nodes are printed.
void	printDirty (Bool_t depth=kTRUE) const
	Print information about current value dirty state information.
virtual void	printMetaArgs (std::ostream &) const
virtual void	printName (std::ostream &os) const
	Print object name.
virtual void	printTitle (std::ostream &os) const
	Print object title.
virtual void	printTree (std::ostream &os, TString indent="") const
	Print object tree structure.
Bool_t	recursiveCheckObservables (const RooArgSet *nset) const
	Recursively call checkObservables on all nodes in the expression tree.
void	setAttribute (const Text_t *name, Bool_t value=kTRUE)
	Set (default) or clear a named boolean attribute of this object.
void	setLocalNoDirtyInhibit (Bool_t flag) const
void	SetName (const char *name)
	Set the name of the TNamed.
void	SetNameTitle (const char *name, const char *title)
	Set all the TNamed parameters (name and title).
void	setProhibitServerRedirect (Bool_t flag)
void	setStringAttribute (const Text_t *key, const Text_t *value)
	Associate string 'value' to this object under key 'key'.
void	setTransientAttribute (const Text_t *name, Bool_t value=kTRUE)
	Set (default) or clear a named boolean attribute of this object.
void	setWorkspace (RooWorkspace &ws)
const std::map< std::string, std::string > &	stringAttributes () const
const std::set< std::string > &	transientAttributes () const
TIterator *	clientIterator () const
	Retrieve a client iterator.
TIterator *	valueClientIterator () const
TIterator *	shapeClientIterator () const
TIterator *	serverIterator () const
RooFIter	valueClientMIterator () const
RooFIter	shapeClientMIterator () const
RooFIter	serverMIterator () const
RooArgSet *	getDependents (const RooArgSet &set) const
RooArgSet *	getDependents (const RooAbsData *set) const
RooArgSet *	getDependents (const RooArgSet *depList) const
Bool_t	dependentOverlaps (const RooAbsData *dset, const RooAbsArg &testArg) const
Bool_t	dependentOverlaps (const RooArgSet *depList, const RooAbsArg &testArg) const
Bool_t	checkDependents (const RooArgSet *nset) const
Bool_t	recursiveCheckDependents (const RooArgSet *nset) const
const RefCountList_t &	clients () const
	List of all clients of this object.
const RefCountList_t &	valueClients () const
	List of all value clients of this object. Value clients receive value updates.
const RefCountList_t &	shapeClients () const
	List of all shape clients of this object.
const RefCountList_t &	servers () const
	List of all servers of this object.
RooAbsArg *	findServer (const char *name) const
	Return server of this with name name. Returns nullptr if not found.
RooAbsArg *	findServer (const RooAbsArg &arg) const
	Return server of this that has the same name as arg. Returns nullptr if not found.
RooAbsArg *	findServer (Int_t index) const
	Return i-th server from server list.
Bool_t	isValueServer (const RooAbsArg &arg) const
	Check if this is serving values to arg.
Bool_t	isValueServer (const char *name) const
	Check if this is serving values to an object with name name.
Bool_t	isShapeServer (const RooAbsArg &arg) const
	Check if this is serving shape to arg.
Bool_t	isShapeServer (const char *name) const
	Check if this is serving shape to an object with name name.
void	leafNodeServerList (RooAbsCollection *list, const RooAbsArg *arg=0, Bool_t recurseNonDerived=kFALSE) const
	Fill supplied list with all leaf nodes of the arg tree, starting with ourself as top node.
void	branchNodeServerList (RooAbsCollection *list, const RooAbsArg *arg=0, Bool_t recurseNonDerived=kFALSE) const
	Fill supplied list with all branch nodes of the arg tree starting with ourself as top node.
void	treeNodeServerList (RooAbsCollection *list, const RooAbsArg *arg=0, Bool_t doBranch=kTRUE, Bool_t doLeaf=kTRUE, Bool_t valueOnly=kFALSE, Bool_t recurseNonDerived=kFALSE) const
	Fill supplied list with nodes of the arg tree, following all server links, starting with ourself as top node.
virtual Bool_t	isFundamental () const
	Is this object a fundamental type that can be added to a dataset? Fundamental-type subclasses override this method to return kTRUE.
virtual Bool_t	isLValue () const
	Is this argument an l-value, i.e., can it appear on the left-hand side of an assignment expression? LValues are also special since they can potentially be analytically integrated and generated.
Bool_t	redirectServers (const RooAbsCollection &newServerList, Bool_t mustReplaceAll=kFALSE, Bool_t nameChange=kFALSE, Bool_t isRecursionStep=kFALSE)
	Replace all direct servers of this object with the new servers in newServerList.
Bool_t	recursiveRedirectServers (const RooAbsCollection &newServerList, Bool_t mustReplaceAll=kFALSE, Bool_t nameChange=kFALSE, Bool_t recurseInNewSet=kTRUE)
	Recursively replace all servers with the new servers in newSet.
virtual void	serverNameChangeHook (const RooAbsArg *, const RooAbsArg *)
void	addServer (RooAbsArg &server, Bool_t valueProp=kTRUE, Bool_t shapeProp=kFALSE, std::size_t refCount=1)
	Register another RooAbsArg as a server to us, ie, declare that we depend on it.
void	addServerList (RooAbsCollection &serverList, Bool_t valueProp=kTRUE, Bool_t shapeProp=kFALSE)
	Register a list of RooAbsArg as servers to us by calling addServer() for each arg in the list.
void	replaceServer (RooAbsArg &oldServer, RooAbsArg &newServer, Bool_t valueProp, Bool_t shapeProp)
	Replace 'oldServer' with 'newServer'.
void	changeServer (RooAbsArg &server, Bool_t valueProp, Bool_t shapeProp)
	Change dirty flag propagation mask for specified server.
void	removeServer (RooAbsArg &server, Bool_t force=kFALSE)
	Unregister another RooAbsArg as a server to us, ie, declare that we no longer depend on its value and shape.
RooAbsArg *	findNewServer (const RooAbsCollection &newSet, Bool_t nameChange) const
	Find the new server in the specified set that matches the old server.
virtual void	optimizeCacheMode (const RooArgSet &observables)
	Activate cache mode optimization with given definition of observables.
virtual void	optimizeCacheMode (const RooArgSet &observables, RooArgSet &optNodes, RooLinkedList &processedNodes)
	Activate cache mode optimization with given definition of observables.
Bool_t	findConstantNodes (const RooArgSet &observables, RooArgSet &cacheList)
	Find branch nodes with all-constant parameters, and add them to the list of nodes that can be cached with a dataset in a test statistic calculation.
Bool_t	findConstantNodes (const RooArgSet &observables, RooArgSet &cacheList, RooLinkedList &processedNodes)
	Find branch nodes with all-constant parameters, and add them to the list of nodes that can be cached with a dataset in a test statistic calculation.
virtual void	constOptimizeTestStatistic (ConstOpCode opcode, Bool_t doAlsoTrackingOpt=kTRUE)
	Interface function signaling a request to perform constant term optimization.
virtual CacheMode	canNodeBeCached () const
virtual void	setCacheAndTrackHints (RooArgSet &)
Bool_t	isShapeDirty () const
Bool_t	isValueDirty () const
Bool_t	isValueDirtyAndClear () const
Bool_t	isValueOrShapeDirtyAndClear () const
void	registerCache (RooAbsCache &cache)
	Register RooAbsCache with this object.
void	unRegisterCache (RooAbsCache &cache)
	Unregister a RooAbsCache. Called from the RooAbsCache destructor.
Int_t	numCaches () const
	Return number of registered caches.
RooAbsCache *	getCache (Int_t index) const
	Return registered cache object by index.
OperMode	operMode () const
	Query the operation mode of this node.
void	setOperMode (OperMode mode, Bool_t recurseADirty=kTRUE)
	Set the operation mode of this node.
void	setValueDirty ()
	Mark the element dirty. This forces a re-evaluation when a value is requested.
void	setShapeDirty ()
	Notify that a shape-like property (e.g. binning) has changed.
const char *	aggregateCacheUniqueSuffix () const
virtual const char *	cacheUniqueSuffix () const
void	wireAllCaches ()
RooExpensiveObjectCache &	expensiveObjectCache () const
virtual void	setExpensiveObjectCache (RooExpensiveObjectCache &cache)
Public Member Functions inherited from TNamed
	TNamed ()
	TNamed (const char *name, const char *title)
	TNamed (const TNamed &named)
	TNamed copy ctor.
	TNamed (const TString &name, const TString &title)
virtual	~TNamed ()
	TNamed destructor.
virtual void	Clear (Option_t *option="")
	Set name and title to empty strings ("").
virtual void	Copy (TObject &named) const
	Copy this to obj.
virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer.
virtual const char *	GetName () const
	Returns name of object.
virtual const char *	GetTitle () const
	Returns title of object.
virtual ULong_t	Hash () const
	Return hash value for this object.
virtual void	ls (Option_t *option="") const
	List TNamed name and title.
TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator.
virtual void	SetTitle (const char *title="")
	Set the title of the TNamed.
virtual Int_t	Sizeof () const
	Return size of the TNamed part of the TObject.
Public Member Functions inherited from TObject
	TObject ()
	TObject constructor.
	TObject (const TObject &object)
	TObject copy ctor.
virtual	~TObject ()
	TObject destructor.
void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract.
virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad.
virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action.
ULong_t	CheckedHash ()
	Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.
virtual const char *	ClassName () const
	Returns name of class to which the object belongs.
virtual void	Delete (Option_t *option="")
	Delete this object.
virtual Int_t	DistancetoPrimitive (Int_t px, Int_t py)
	Computes distance from point (px,py) to the object.
virtual void	Draw (Option_t *option="")
	Default Draw method for all objects.
virtual void	DrawClass () const
	Draw class inheritance tree of the class to which this object belongs.
virtual TObject *	DrawClone (Option_t *option="") const
	Draw a clone of this object in the current selected pad for instance with: gROOT->SetSelectedPad(gPad).
virtual void	Dump () const
	Dump contents of object on stdout.
virtual void	Error (const char *method, const char *msgfmt,...) const
	Issue error message.
virtual void	Execute (const char *method, const char *params, Int_t *error=0)
	Execute method on this object with the given parameter string, e.g.
virtual void	Execute (TMethod *method, TObjArray *params, Int_t *error=0)
	Execute method on this object with parameters stored in the TObjArray.
virtual void	ExecuteEvent (Int_t event, Int_t px, Int_t py)
	Execute action corresponding to an event at (px,py).
virtual void	Fatal (const char *method, const char *msgfmt,...) const
	Issue fatal error message.
virtual TObject *	FindObject (const char *name) const
	Must be redefined in derived classes.
virtual TObject *	FindObject (const TObject *obj) const
	Must be redefined in derived classes.
virtual Option_t *	GetDrawOption () const
	Get option used by the graphics system to draw this object.
virtual const char *	GetIconName () const
	Returns mime type name of object.
virtual char *	GetObjectInfo (Int_t px, Int_t py) const
	Returns string containing info about the object at position (px,py).
virtual Option_t *	GetOption () const
virtual UInt_t	GetUniqueID () const
	Return the unique object id.
virtual Bool_t	HandleTimer (TTimer *timer)
	Execute action in response of a timer timing out.
Bool_t	HasInconsistentHash () const
	Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e.
virtual void	Info (const char *method, const char *msgfmt,...) const
	Issue info message.
virtual Bool_t	InheritsFrom (const char *classname) const
	Returns kTRUE if object inherits from class "classname".
virtual Bool_t	InheritsFrom (const TClass *cl) const
	Returns kTRUE if object inherits from TClass cl.
virtual void	Inspect () const
	Dump contents of this object in a graphics canvas.
void	InvertBit (UInt_t f)
virtual Bool_t	IsEqual (const TObject *obj) const
	Default equal comparison (objects are equal if they have the same address in memory).
virtual Bool_t	IsFolder () const
	Returns kTRUE in case object contains browsable objects (like containers or lists of other objects).
R__ALWAYS_INLINE Bool_t	IsOnHeap () const
R__ALWAYS_INLINE Bool_t	IsZombie () const
void	MayNotUse (const char *method) const
	Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary).
virtual Bool_t	Notify ()
	This method must be overridden to handle object notification.
void	Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const
	Use this method to declare a method obsolete.
void	operator delete (void *ptr)
	Operator delete.
void	operator delete[] (void *ptr)
	Operator delete [].
void *	operator new (size_t sz)
void *	operator new (size_t sz, void *vp)
void *	operator new[] (size_t sz)
void *	operator new[] (size_t sz, void *vp)
TObject &	operator= (const TObject &rhs)
	TObject assignment operator.
virtual void	Paint (Option_t *option="")
	This method must be overridden if a class wants to paint itself.
virtual void	Pop ()
	Pop on object drawn in a pad to the top of the display list.
virtual Int_t	Read (const char *name)
	Read contents of object with specified name from the current directory.
virtual void	RecursiveRemove (TObject *obj)
	Recursively remove this object from a list.
void	ResetBit (UInt_t f)
virtual void	SaveAs (const char *filename="", Option_t *option="") const
	Save this object in the file specified by filename.
virtual void	SavePrimitive (std::ostream &out, Option_t *option="")
	Save a primitive as a C++ statement(s) on output stream "out".
void	SetBit (UInt_t f)
void	SetBit (UInt_t f, Bool_t set)
	Set or unset the user status bits as specified in f.
virtual void	SetDrawOption (Option_t *option="")
	Set drawing option for object.
virtual void	SetUniqueID (UInt_t uid)
	Set the unique object id.
virtual void	SysError (const char *method, const char *msgfmt,...) const
	Issue system error message.
R__ALWAYS_INLINE Bool_t	TestBit (UInt_t f) const
Int_t	TestBits (UInt_t f) const
virtual void	UseCurrentStyle ()
	Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked.
virtual void	Warning (const char *method, const char *msgfmt,...) const
	Issue warning message.
virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory.
virtual Int_t	Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
	Write this object to the current directory.
Public Member Functions inherited from RooPrintable
	RooPrintable ()
virtual	~RooPrintable ()
virtual StyleOption	defaultPrintStyle (Option_t *opt) const
virtual void	printExtras (std::ostream &os) const
	Interface to print extras of object.
virtual void	printStream (std::ostream &os, Int_t contents, StyleOption style, TString indent="") const
	Print description of object on ostream, printing contents set by contents integer, which is interpreted as an OR of 'enum ContentsOptions' values and in the style given by 'enum StyleOption'.

Protected Member Functions
RooSpan< const double >	binBoundaries () const
	Get the bin boundaries for the observable.
double	evaluate () const override
	Integrate the PDF over the current bin of the observable.
RooSpan< double >	evaluateSpan (RooBatchCompute::RunContext &evalData, const RooArgSet *normSet) const override
	Integrate the PDF over all its bins, and return a batch with those values.
Protected Member Functions inherited from RooAbsPdf
	RooAbsPdf (const RooAbsPdf &other, const char *name=0)
	Copy constructor.
virtual RooPlot *	plotOn (RooPlot *frame, PlotOpt o) const
	Plot oneself on 'frame'.
Int_t *	randomizeProtoOrder (Int_t nProto, Int_t nGen, Bool_t resample=kFALSE) const
	Return lookup table with randomized access order for prototype events, given nProto prototype data events and nGen events that will actually be accessed.
virtual Bool_t	redirectServersHook (const RooAbsCollection &, Bool_t, Bool_t, Bool_t)
	Function that is called at the end of redirectServers().
virtual Bool_t	syncNormalization (const RooArgSet *dset, Bool_t adjustProxies=kTRUE) const
	Verify that the normalization integral cached with this PDF is valid for given set of normalization observables.
Protected Member Functions inherited from RooAbsReal
virtual void	attachToTree (TTree &t, Int_t bufSize=32000)
	Attach object to a branch of given TTree.
virtual void	attachToVStore (RooVectorDataStore &vstore)
RooFitResult *	chi2FitDriver (RooAbsReal &fcn, RooLinkedList &cmdList)
	Internal driver function for chi2 fits.
virtual void	copyCache (const RooAbsArg *source, Bool_t valueOnly=kFALSE, Bool_t setValDirty=kTRUE)
	Copy the cached value of another RooAbsArg to our cache.
RooAbsReal *	createIntObj (const RooArgSet &iset, const RooArgSet *nset, const RooNumIntConfig *cfg, const char *rangeName) const
	Internal utility function for createIntegral() that creates the actual integral object.
virtual RooSpan< double >	evaluateBatch (std::size_t, std::size_t)=delete
virtual void	fillTreeBranch (TTree &t)
	Fill the tree branch that associated with this object with its current value.
void	findInnerMostIntegration (const RooArgSet &allObs, RooArgSet &innerObs, const char *rangeName) const
	Utility function for createIntObj() that aids in the construct of recursive integrals over functions with multiple observables with parameterized ranges.
TString	integralNameSuffix (const RooArgSet &iset, const RooArgSet *nset=0, const char *rangeName=0, Bool_t omitEmpty=kFALSE) const
	Construct string with unique suffix name to give to integral object that encodes integrated observables, normalization observables and the integration range name.
Bool_t	isSelectedComp () const
	If true, the current pdf is a selected component (for use in plotting)
virtual Bool_t	isValid () const
	Check if current value is valid.
virtual Bool_t	isValidReal (Double_t value, Bool_t printError=kFALSE) const
	Interface function to check if given value is a valid value for this object.
void	makeProjectionSet (const RooAbsArg *plotVar, const RooArgSet *allVars, RooArgSet &projectedVars, Bool_t silent) const
	Utility function for plotOn() that constructs the set of observables to project when plotting ourselves as function of 'plotVar'.
Bool_t	matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a) const
	Utility function for use in getAnalyticalIntegral().
Bool_t	matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a, const RooArgProxy &b) const
	Utility function for use in getAnalyticalIntegral().
Bool_t	matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a, const RooArgProxy &b, const RooArgProxy &c) const
	Utility function for use in getAnalyticalIntegral().
Bool_t	matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a, const RooArgProxy &b, const RooArgProxy &c, const RooArgProxy &d) const
	Utility function for use in getAnalyticalIntegral().
Bool_t	matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgSet &set) const
	Utility function for use in getAnalyticalIntegral().
virtual RooPlot *	plotAsymOn (RooPlot *frame, const RooAbsCategoryLValue &asymCat, PlotOpt o) const
void	plotOnCompSelect (RooArgSet *selNodes) const
	Helper function for plotting of composite p.d.fs.
RooPlot *	plotOnWithErrorBand (RooPlot *frame, const RooFitResult &fr, Double_t Z, const RooArgSet *params, const RooLinkedList &argList, Bool_t method1) const
	Plot function or PDF on frame with support for visualization of the uncertainty encoded in the given fit result fr.
Bool_t	plotSanityChecks (RooPlot *frame) const
	Utility function for plotOn(), perform general sanity check on frame to ensure safe plotting operations.
void	selectComp (Bool_t flag)
virtual void	selectNormalization (const RooArgSet *depSet=0, Bool_t force=kFALSE)
	Interface function to force use of a given set of observables to interpret function value.
virtual void	selectNormalizationRange (const char *rangeName=0, Bool_t force=kFALSE)
	Interface function to force use of a given normalization range to interpret function value.
virtual void	setTreeBranchStatus (TTree &t, Bool_t active)
	(De)Activate associated tree branch
virtual void	syncCache (const RooArgSet *set=0)
Double_t	traceEval (const RooArgSet *set) const
	Calculate current value of object, with error tracing wrapper.
Protected Member Functions inherited from RooAbsArg
void	attachToStore (RooAbsDataStore &store)
	Attach this argument to the data store such that it reads data from there.
TString	cleanBranchName () const
	Construct a mangled name from the actual name that is free of any math symbols that might be interpreted by TTree.
void	clearShapeDirty () const
void	clearValueAndShapeDirty () const
void	clearValueDirty () const
virtual void	getObservablesHook (const RooArgSet *, RooArgSet *) const
virtual void	getParametersHook (const RooArgSet *, RooArgSet *, Bool_t) const
void	graphVizAddConnections (std::set< std::pair< RooAbsArg *, RooAbsArg * > > &)
	Utility function that inserts all point-to-point client-server connections between any two RooAbsArgs in the expression tree headed by this object in the linkSet argument.
Bool_t	inhibitDirty () const
	Delete watch flag.
virtual void	ioStreamerPass2 ()
	Method called by workspace container to finalize schema evolution issues that cannot be handled in a single ioStreamer pass.
virtual void	operModeHook ()
virtual void	optimizeDirtyHook (const RooArgSet *)
void	printAttribList (std::ostream &os) const
	Transient boolean attributes (not copied in ctor)
void	registerProxy (RooArgProxy &proxy)
	Register an RooArgProxy in the proxy list.
void	registerProxy (RooListProxy &proxy)
	Register an RooListProxy in the proxy list.
void	registerProxy (RooSetProxy &proxy)
	Register an RooSetProxy in the proxy list.
void	setProxyNormSet (const RooArgSet *nset)
	Forward a change in the cached normalization argset to all the registered proxies.
void	setShapeDirty (const RooAbsArg *source)
	Notify that a shape-like property (e.g. binning) has changed.
void	setValueDirty (const RooAbsArg *source)
	Force element to re-evaluate itself when a value is requested.
void	unRegisterProxy (RooArgProxy &proxy)
	Remove proxy from proxy list.
void	unRegisterProxy (RooListProxy &proxy)
	Remove proxy from proxy list.
void	unRegisterProxy (RooSetProxy &proxy)
	Remove proxy from proxy list.
Protected Member Functions inherited from TObject
virtual void	DoError (int level, const char *location, const char *fmt, va_list va) const
	Interface to ErrorHandler (protected).
void	MakeZombie ()

Private Member Functions
double	integrate (const RooArgSet *normSet, double low, double high) const
	Integrate the wrapped PDF using our current integrator, with given norm set and limits.
double	operator() (double x) const
	Binding used by the integrator to evaluate the PDF.

Private Attributes
std::vector< double >	_binBoundaries
	Integrator used to sample bins.
std::unique_ptr< ROOT::Math::IntegratorOneDim >	_integrator {nullptr}
	Default integrator precision.
const RooArgSet *	_normSetForIntegrator {nullptr}
	Workspace to store data for bin sampling.
RooTemplateProxy< RooAbsRealLValue >	_observable
RooTemplateProxy< RooAbsPdf >	_pdf
double	_relEpsilon {1.E-4}

Friends
template<typename Func >
class	ROOT::Math::WrappedFunction

Additional Inherited Members
Public Types inherited from RooAbsPdf
enum	ExtendMode { CanNotBeExtended , CanBeExtended , MustBeExtended }
Public Types inherited from RooAbsReal
enum	ErrorLoggingMode { PrintErrors , CollectErrors , CountErrors , Ignore }
typedef std::map< constRooAbsArg *, std::pair< std::string, std::list< EvalError > > >::const_iterator	EvalErrorIter
enum	ScaleType { Raw , Relative , NumEvent , RelativeExpected }
using	value_type = double
Public Types inherited from RooAbsArg
enum	CacheMode { Always =0 , NotAdvised =1 , Never =2 }
enum	ConstOpCode { Activate =0 , DeActivate =1 , ConfigChange =2 , ValueChange =3 }
enum	OperMode { Auto =0 , AClean =1 , ADirty =2 }
using	RefCountList_t = RooSTLRefCountList< RooAbsArg >
using	RefCountListLegacyIterator_t = TIteratorToSTLInterface< RefCountList_t::Container_t >
Public Types inherited from TObject
enum	{   kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 ,   kBitMask = 0x00ffffff }
enum	{ kSingleKey = BIT(0) , kOverwrite = BIT(1) , kWriteDelete = BIT(2) }
enum	EDeprecatedStatusBits { kObjInCanvas = BIT(3) }
enum	EStatusBits {   kCanDelete = BIT(0) , kMustCleanup = BIT(3) , kIsReferenced = BIT(4) , kHasUUID = BIT(5) ,   kCannotPick = BIT(6) , kNoContextMenu = BIT(8) , kInvalidObject = BIT(13) }
Public Types inherited from RooPrintable
enum	ContentsOption {   kName =1 , kClassName =2 , kValue =4 , kArgs =8 ,   kExtras =16 , kAddress =32 , kTitle =64 , kCollectionHeader =128 }
enum	StyleOption {   kInline =1 , kSingleLine =2 , kStandard =3 , kVerbose =4 ,   kTreeStructure =5 }
Static Public Member Functions inherited from RooAbsPdf
static RooNumGenConfig *	defaultGeneratorConfig ()
	Returns the default numeric MC generator configuration for all RooAbsReals.
static int	verboseEval ()
	Return global level of verbosity for p.d.f. evaluations.
static void	verboseEval (Int_t stat)
	Change global level of verbosity for p.d.f. evaluations.
Static Public Member Functions inherited from RooAbsReal
static void	clearEvalErrorLog ()
	Clear the stack of evaluation error messages.
static RooNumIntConfig *	defaultIntegratorConfig ()
	Returns the default numeric integration configuration for all RooAbsReals.
static EvalErrorIter	evalErrorIter ()
static ErrorLoggingMode	evalErrorLoggingMode ()
	Return current evaluation error logging mode.
static Bool_t	hideOffset ()
static void	logEvalError (const RooAbsReal *originator, const char *origName, const char *message, const char *serverValueString=0)
	Interface to insert remote error logging messages received by RooRealMPFE into current error loggin stream.
static Int_t	numEvalErrorItems ()
static Int_t	numEvalErrors ()
	Return the number of logged evaluation errors since the last clearing.
static void	printEvalErrors (std::ostream &os=std::cout, Int_t maxPerNode=10000000)
	Print all outstanding logged evaluation error on the given ostream.
static void	setCacheCheck (Bool_t flag)
static void	setEvalErrorLoggingMode (ErrorLoggingMode m)
	Set evaluation error logging mode.
static void	setHideOffset (Bool_t flag)
Static Public Member Functions inherited from RooAbsArg
static void	setDirtyInhibit (Bool_t flag)
	Control global dirty inhibit mode.
static void	verboseDirty (Bool_t flag)
	Activate verbose messaging related to dirty flag propagation.
Static Public Member Functions inherited from TObject
static Long_t	GetDtorOnly ()
	Return destructor only flag.
static Bool_t	GetObjectStat ()
	Get status of object stat flag.
static void	SetDtorOnly (void *obj)
	Set destructor only flag.
static void	SetObjectStat (Bool_t stat)
	Turn on/off tracking of objects in the TObjectTable.
Static Public Member Functions inherited from RooPrintable
static std::ostream &	defaultPrintStream (std::ostream *os=0)
	Return a reference to the current default stream to use in Print().
static void	nameFieldLength (Int_t newLen)
	Set length of field reserved from printing name of RooAbsArgs in multi-line collection printing to given amount.
Protected Types inherited from TObject
enum	{ kOnlyPrepStep = BIT(3) }
Static Protected Member Functions inherited from RooAbsReal
static void	globalSelectComp (Bool_t flag)
	Global switch controlling the activation of the selectComp() functionality.
Static Protected Member Functions inherited from RooAbsArg
static void	ioStreamerPass2Finalize ()
	Method called by workspace container to finalize schema evolution issues that cannot be handled in a single ioStreamer pass.
Protected Attributes inherited from RooAbsPdf
Int_t	_errorCount
Int_t	_negCount
RooAbsReal *	_norm = nullptr
RooObjCacheManager	_normMgr
TString	_normRange
	MC generator configuration specific for this object.
RooArgSet const *	_normSet = nullptr
	Normalization integral (owned by _normMgr)
Double_t	_rawValue
Bool_t	_selectComp
RooNumGenConfig *	_specGeneratorConfig
Int_t	_traceCount
Protected Attributes inherited from RooAbsReal
Bool_t	_forceNumInt
TString	_label
RooArgSet *	_lastNSet
Int_t	_plotBins
Double_t	_plotMax
Double_t	_plotMin
Bool_t	_selectComp
RooNumIntConfig *	_specIntegratorConfig
TString	_unit
Double_t	_value
Protected Attributes inherited from RooAbsArg
bool	_allBatchesDirty {true}
std::set< std::string >	_boolAttrib
std::set< std::string >	_boolAttribTransient
std::deque< RooAbsCache * >	_cacheList
RefCountList_t	_clientList
RefCountList_t	_clientListShape
RefCountList_t	_clientListValue
Bool_t	_deleteWatch
RooExpensiveObjectCache *	_eocache {nullptr}
	Prohibit server redirects – Debugging tool.
Bool_t	_fast
Bool_t	_isConstant
	Do not persist. Pointer to global instance of string that matches object named.
Bool_t	_localNoInhibitDirty
	Cached isConstant status.
RooWorkspace *	_myws
	Prevent 'AlwaysDirty' mode for this node.
TNamed *	_namePtr
OperMode	_operMode
	Mark batches as dirty (only meaningful for RooAbsReal).
RooArgSet *	_ownedComponents
Bool_t	_prohibitServerRedirect
	Set of owned component.
RooRefArray	_proxyList
RefCountList_t	_serverList
Bool_t	_shapeDirty
std::map< std::string, std::string >	_stringAttrib
Bool_t	_valueDirty
Protected Attributes inherited from TNamed
TString	fName
TString	fTitle
Static Protected Attributes inherited from RooAbsPdf
static TString	_normRangeOverride
static Int_t	_verboseEval = 0
Static Protected Attributes inherited from RooAbsReal
static Bool_t	_globalSelectComp = false
	Component selection flag for RooAbsPdf::plotCompOn.
static Bool_t	_hideOffset = kTRUE
Static Protected Attributes inherited from RooAbsArg
static Bool_t	_inhibitDirty
static Bool_t	_verboseDirty
Static Protected Attributes inherited from RooPrintable
static Int_t	_nameLength

#include <RooBinSamplingPdf.h>

Inheritance diagram for RooBinSamplingPdf:

Constructor & Destructor Documentation

RooBinSamplingPdf() [1/3]

RooBinSamplingPdf::RooBinSamplingPdf ( )

inline

Definition at line 31 of file RooBinSamplingPdf.h.

RooBinSamplingPdf() [2/3]

RooBinSamplingPdf::RooBinSamplingPdf	(	const char *	name,
		const char *	title,
		RooAbsRealLValue &	observable,
		RooAbsPdf &	inputPdf,
		double	epsilon = 1.E-4
	)

Construct a new RooBinSamplingPdf.

Parameters

[in]	name	A name to identify this object.
[in]	title	Title (for e.g. plotting)
[in]	observable	Observable to integrate over (the one that is binned).
[in]	inputPdf	A PDF whose bins should be sampled with higher precision.
[in]	epsilon	Relative precision for the integrator, which is used to sample the bins. Note that ROOT's default is to use an adaptive integrator, which in its first iteration usually reaches relative precision of 1.E-4 or better. Therefore, asking for lower precision rarely has an effect.

Definition at line 108 of file RooBinSamplingPdf.cxx.

~RooBinSamplingPdf()

virtual RooBinSamplingPdf::~RooBinSamplingPdf ( )

inlinevirtual

Definition at line 34 of file RooBinSamplingPdf.h.

RooBinSamplingPdf() [3/3]

RooBinSamplingPdf::RooBinSamplingPdf	(	const RooBinSamplingPdf &	other,
		const char *	name = 0
	)

Copy a RooBinSamplingPdf.

Parameters

[in]	other	PDF to copy.
[in]	name	Optionally rename the copy.

Definition at line 126 of file RooBinSamplingPdf.cxx.

Member Function Documentation

analyticalIntegral()

double RooBinSamplingPdf::analyticalIntegral ( Int_t  code, const char *  rangeName = 0  ) const

inlineoverridevirtual

Forwards to the PDF's implementation.

Reimplemented from RooAbsReal.

Definition at line 61 of file RooBinSamplingPdf.h.

analyticalIntegralWN()

double RooBinSamplingPdf::analyticalIntegralWN ( Int_t  code, const RooArgSet *  normSet, const char *  rangeName  ) const

inlineoverridevirtual

Forwards to the PDF's implementation.

Reimplemented from RooAbsPdf.

Definition at line 57 of file RooBinSamplingPdf.h.

binBoundaries() [1/2]

RooSpan< const double > RooBinSamplingPdf::binBoundaries ( ) const

protected

Get the bin boundaries for the observable.

These will be recomputed whenever the shape of this object is dirty.

Definition at line 184 of file RooBinSamplingPdf.cxx.

binBoundaries() [2/2]

std::list< double > * RooBinSamplingPdf::binBoundaries ( RooAbsRealLValue &  obs, Double_t  xlo, Double_t  xhi  ) const

overridevirtual

Return a list of all bin boundaries, so the PDF is plotted correctly.

Parameters

[in]	obs	Observable to generate the boundaries for.
[in]	xlo	Beginning of range to create list of boundaries for.
[in]	xhi	End of range to create to create list of boundaries for.

Returns

Pointer to a list to be deleted by caller.

Reimplemented from RooAbsReal.

Definition at line 209 of file RooBinSamplingPdf.cxx.

clone()

virtual TObject * RooBinSamplingPdf::clone ( const char *  newname ) const

inlineoverridevirtual

Implements RooAbsArg.

Definition at line 38 of file RooBinSamplingPdf.h.

evaluate()

double RooBinSamplingPdf::evaluate ( ) const

overrideprotectedvirtual

Integrate the PDF over the current bin of the observable.

Implements RooAbsReal.

Definition at line 135 of file RooBinSamplingPdf.cxx.

evaluateSpan()

RooSpan< double > RooBinSamplingPdf::evaluateSpan ( RooBatchCompute::RunContext &  evalData, const RooArgSet *  normSet  ) const

overrideprotectedvirtual

Integrate the PDF over all its bins, and return a batch with those values.

Parameters

[in,out]	evalData	Struct with evaluation data.
[in]	normSet	Normalisation set that's used to evaluate the PDF.

Reimplemented from RooAbsReal.

Definition at line 158 of file RooBinSamplingPdf.cxx.

expectedEvents() [1/3]

virtual Double_t RooAbsPdf::expectedEvents ( const RooArgSet &  nset ) const

inlinevirtual

Return expected number of events to be used in calculation of extended likelihood.

Reimplemented from RooAbsPdf.

Definition at line 247 of file RooAbsPdf.h.

expectedEvents() [2/3]

Double_t RooAbsPdf::expectedEvents ( const RooArgSet *  nset ) const

virtual

Return expected number of events from this p.d.f for use in extended likelihood calculations.

This default implementation returns zero

Reimplemented from RooAbsPdf.

Definition at line 245 of file RooAbsPdf.cxx.

expectedEvents() [3/3]

virtual Double_t RooBinSamplingPdf::expectedEvents ( const RooArgSet *  nset ) const

inlineoverridevirtual

Return expected number of events from this p.d.f for use in extended likelihood calculations.

This default implementation returns zero

Reimplemented from RooAbsPdf.

Definition at line 70 of file RooBinSamplingPdf.h.

extendMode()

ExtendMode RooBinSamplingPdf::extendMode ( ) const

inlineoverridevirtual

Returns ability of PDF to provide extended likelihood terms.

Possible answers are in the enumerator RooAbsPdf::ExtendMode. This default implementation always returns CanNotBeExtended.

Reimplemented from RooAbsPdf.

Definition at line 68 of file RooBinSamplingPdf.h.

forceAnalyticalInt()

Bool_t RooBinSamplingPdf::forceAnalyticalInt ( const RooAbsArg &  dep ) const

inlineoverridevirtual

Reimplemented from RooAbsReal.

Definition at line 43 of file RooBinSamplingPdf.h.

generateEvent()

void RooBinSamplingPdf::generateEvent ( Int_t  code )

inlineoverridevirtual

Forwards to the PDF's implementation.

Reimplemented from RooAbsPdf.

Definition at line 79 of file RooBinSamplingPdf.h.

getAnalyticalIntegral()

Int_t RooBinSamplingPdf::getAnalyticalIntegral ( RooArgSet &  allVars, RooArgSet &  numVars, const char *  rangeName = 0  ) const

inlineoverridevirtual

Forwards to the PDF's implementation.

Reimplemented from RooAbsReal.

Definition at line 52 of file RooBinSamplingPdf.h.

getAnalyticalIntegralWN()

Int_t RooBinSamplingPdf::getAnalyticalIntegralWN ( RooArgSet &  allVars, RooArgSet &  analVars, const RooArgSet *  normSet, const char *  rangeName = 0  ) const

inlineoverridevirtual

Forwards to the PDF's implementation.

Reimplemented from RooAbsReal.

Definition at line 47 of file RooBinSamplingPdf.h.

getGenerator()

Int_t RooBinSamplingPdf::getGenerator ( const RooArgSet &  directVars, RooArgSet &  generateVars, bool  staticInitOK = true  ) const

inlineoverridevirtual

Forwards to the PDF's implementation.

Reimplemented from RooAbsPdf.

Definition at line 73 of file RooBinSamplingPdf.h.

getMaxVal()

Int_t RooBinSamplingPdf::getMaxVal ( const RooArgSet &  vars ) const

inlineoverridevirtual

Advertise capability to determine maximum value of function for given set of observables.

If no direct generator method is provided, this information will assist the accept/reject generator to operate more efficiently as it can skip the initial trial sampling phase to empirically find the function maximum

Reimplemented from RooAbsReal.

Definition at line 85 of file RooBinSamplingPdf.h.

initGenerator()

void RooBinSamplingPdf::initGenerator ( Int_t  code )

inlineoverridevirtual

Forwards to the PDF's implementation.

Reimplemented from RooAbsPdf.

Definition at line 77 of file RooBinSamplingPdf.h.

integrate()

double RooBinSamplingPdf::integrate ( const RooArgSet *  normSet, double  low, double  high  ) const

private

Integrate the wrapped PDF using our current integrator, with given norm set and limits.

Definition at line 297 of file RooBinSamplingPdf.cxx.

integrator()

std::unique_ptr< ROOT::Math::IntegratorOneDim > & RooBinSamplingPdf::integrator

(

)

const

Direct access to the unique_ptr holding the integrator that's used to sample the bins.

This can be used to change options such as sampling accuracy or to entirely exchange the integrator.

Example: Use the 61-point Gauss-Kronrod integration rule

ROOT::Math::IntegratorOneDimOptions intOptions = pdf.integrator()->Options();
intOptions.SetNPoints(6); // 61-point integration rule
intOptions.SetRelTolerance(1.E-9); // Smaller tolerance -> more subdivisions
pdf.integrator()->SetOptions(intOptions);

See also

ROOT::Math::IntegratorOneDim::SetOptions for more details on integration options.

Note

When RooBinSamplingPdf is loaded from files, integrator options will fall back to the default values.

Definition at line 273 of file RooBinSamplingPdf.cxx.

isBinnedDistribution()

bool RooBinSamplingPdf::isBinnedDistribution ( const RooArgSet &  ) const

inlineoverridevirtual

Returns true, since this PDF is meant to be binned.

Reimplemented from RooAbsReal.

Definition at line 91 of file RooBinSamplingPdf.h.

isDirectGenSafe()

Bool_t RooBinSamplingPdf::isDirectGenSafe ( const RooAbsArg &  arg ) const

inlineoverridevirtual

Forwards to the PDF's implementation.

Reimplemented from RooAbsPdf.

Definition at line 81 of file RooBinSamplingPdf.h.

maxVal()

Double_t RooBinSamplingPdf::maxVal ( Int_t  code ) const

inlineoverridevirtual

Return maximum value for set of observables identified by code assigned in getMaxVal.

Reimplemented from RooAbsReal.

Definition at line 86 of file RooBinSamplingPdf.h.

minTrialSamples()

Int_t RooBinSamplingPdf::minTrialSamples ( const RooArgSet &  arGenObs ) const

inlineoverridevirtual

Reimplemented from RooAbsReal.

Definition at line 87 of file RooBinSamplingPdf.h.

operator()()

double RooBinSamplingPdf::operator() ( double  x ) const

private

Binding used by the integrator to evaluate the PDF.

Definition at line 289 of file RooBinSamplingPdf.cxx.

plotSamplingHint()

std::list< double > * RooBinSamplingPdf::plotSamplingHint ( RooAbsRealLValue &  obs, double  xlo, double  xhi  ) const

overridevirtual

Return a list of all bin edges, so the PDF is plotted as a step function.

Parameters

[in]	obs	Observable to generate the sampling hint for.
[in]	xlo	Beginning of range to create sampling hint for.
[in]	xhi	End of range to create sampling hint for.

Returns

Pointer to a list to be deleted by caller.

Reimplemented from RooAbsReal.

Definition at line 232 of file RooBinSamplingPdf.cxx.

selfNormalized()

bool RooBinSamplingPdf::selfNormalized ( ) const

inlineoverridevirtual

Since contained PDF is already normalised, this always returns true.

Reimplemented from RooAbsPdf.

Definition at line 66 of file RooBinSamplingPdf.h.

Friends And Related Symbol Documentation

ROOT::Math::WrappedFunction

template<typename Func >

friend class ROOT::Math::WrappedFunction

friend

Definition at line 105 of file RooBinSamplingPdf.h.

Member Data Documentation

_binBoundaries

std::vector<double> RooBinSamplingPdf::_binBoundaries

mutableprivate

Integrator used to sample bins.

Definition at line 116 of file RooBinSamplingPdf.h.

_integrator

std::unique_ptr<ROOT::Math::IntegratorOneDim> RooBinSamplingPdf::_integrator {nullptr}

mutableprivate

Default integrator precision.

Definition at line 115 of file RooBinSamplingPdf.h.

_normSetForIntegrator

const RooArgSet* RooBinSamplingPdf::_normSetForIntegrator {nullptr}

mutableprivate

Workspace to store data for bin sampling.

Definition at line 117 of file RooBinSamplingPdf.h.

_observable

RooTemplateProxy<RooAbsRealLValue> RooBinSamplingPdf::_observable

private

Definition at line 112 of file RooBinSamplingPdf.h.

_pdf

RooTemplateProxy<RooAbsPdf> RooBinSamplingPdf::_pdf

private

Definition at line 111 of file RooBinSamplingPdf.h.

_relEpsilon

double RooBinSamplingPdf::_relEpsilon {1.E-4}

private

Definition at line 113 of file RooBinSamplingPdf.h.

Libraries for RooBinSamplingPdf:

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

• roofit/roofitcore/inc/RooBinSamplingPdf.h
• roofit/roofitcore/src/RooBinSamplingPdf.cxx