RooAbsReal Class Reference

RooAbsReal is the common abstract base class for objects that represent a real value and implements functionality common to all real-valued objects such as the ability to plot them, to construct integrals of them, the ability to advertise (partial) analytical integrals etc.

Implementation of RooAbsReal may be derived, thus no interface is provided to modify the contents.

PyROOT

Some member functions of RooAbsReal that take a RooCmdArg as argument also support keyword arguments. So far, this applies to RooAbsReal::plotOn, RooAbsReal::createHistogram, RooAbsReal::chi2FitTo, RooAbsReal::createChi2, RooAbsReal::createRunningIntegral and RooAbsReal::createIntegral For example, the following code is equivalent in PyROOT:

# Directly passing a RooCmdArg:
var.plotOn(frame, ROOT.RooFit.Components("background"))
 
# With keyword arguments:
var.plotOn(frame, Components="background")

Definition at line 64 of file RooAbsReal.h.

Classes
class	EvalError
struct	GlobalSelectComponentRAII
struct	PlotOpt

Public Types
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 }

Public Member Functions
	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.
virtual Double_t	analyticalIntegral (Int_t code, const char *rangeName=0) const
	Implements the actual analytical integral(s) advertised by getAnalyticalIntegral.
virtual Double_t	analyticalIntegralWN (Int_t code, const RooArgSet *normSet, const char *rangeName=0) const
	Implements the actual analytical integral(s) advertised by getAnalyticalIntegral.
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.
virtual std::list< Double_t > *	binBoundaries (RooAbsRealLValue &obs, Double_t xlo, Double_t xhi) const
	Retrieve bin boundaries if this distribution is binned in obs.
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).
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 (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.
virtual void	computeBatch (cudaStream_t *, double *output, size_t size, RooFit::Detail::DataMap const &) const
	Base function for computing multiple values of a RooAbsReal.
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 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&)
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, 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 Bool_t	forceAnalyticalInt (const RooAbsArg &) const
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.
virtual Int_t	getAnalyticalIntegral (RooArgSet &allVars, RooArgSet &analVars, const char *rangeName=0) const
	Interface function getAnalyticalIntergral advertises the analytical integrals that are supported.
virtual Int_t	getAnalyticalIntegralWN (RooArgSet &allVars, RooArgSet &analVars, const RooArgSet *normSet, const char *rangeName=0) const
	Variant of getAnalyticalIntegral that is also passed the normalization set that should be applied to the integrand of which the integral is requested.
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.
virtual Int_t	getMaxVal (const RooArgSet &vars) const
	Advertise capability to determine maximum value of function for given set of observables.
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
std::vector< double >	getValues (RooAbsData const &data, RooFit::BatchModeOption batchMode=RooFit::BatchModeOption::Cpu) const
virtual RooSpan< const double >	getValues (RooBatchCompute::RunContext &evalData, const RooArgSet *normSet=nullptr) const
virtual Double_t	getValV (const RooArgSet *normalisationSet=nullptr) const
	Return value of object.
RooMultiGenFunction *	iGenFunction (const RooArgSet &observables, const RooArgSet &nset=RooArgSet())
RooGenFunction *	iGenFunction (RooRealVar &x, const RooArgSet &nset=RooArgSet())
virtual Bool_t	isBinnedDistribution (const RooArgSet &) const
	Tests if the distribution is binned. Unless overridden by derived classes, this always returns false.
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.
virtual Double_t	maxVal (Int_t code) const
	Return maximum value for set of observables identified by code assigned in getMaxVal.
RooAbsMoment *	mean (RooRealVar &obs)
RooAbsMoment *	mean (RooRealVar &obs, const RooArgSet &nset)
virtual Int_t	minTrialSamples (const RooArgSet &) const
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 *	plotOn (RooPlot *frame, const RooCmdArg &arg1=RooCmdArg(), const RooCmdArg &arg2=RooCmdArg(), const RooCmdArg &arg3=RooCmdArg(), const RooCmdArg &arg4=RooCmdArg(), const RooCmdArg &arg5=RooCmdArg(), const RooCmdArg &arg6=RooCmdArg(), const RooCmdArg &arg7=RooCmdArg(), const RooCmdArg &arg8=RooCmdArg(), const RooCmdArg &arg9=RooCmdArg(), const RooCmdArg &arg10=RooCmdArg()) const
	Plot (project) PDF on specified frame.
virtual RooPlot *	plotOn (RooPlot *frame, RooLinkedList &cmdList) const
	Internal back-end function of plotOn() with named arguments.
virtual std::list< Double_t > *	plotSamplingHint (RooAbsRealLValue &obs, Double_t xlo, Double_t xhi) const
	Interface for returning an optional hint for initial sampling points when constructing a curve projected on observable obs.
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 void	printMultiline (std::ostream &os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const
	Structure printing.
virtual void	printValue (std::ostream &os) const
	Print object value.
virtual Bool_t	readFromStream (std::istream &is, Bool_t compact, Bool_t verbose=kFALSE)
	Read object contents from stream (dummy for now)
void	setCachedValue (double value, bool notifyClients=true) final
	Overwrite the value stored in this object's cache.
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	addOwnedComponents (const RooAbsCollection &comps)
	Take ownership of the contents of 'comps'.
bool	addOwnedComponents (RooAbsCollection &&comps)
	Take ownership of the contents of 'comps'.
bool	addOwnedComponents (RooArgList &&comps)
	Take ownership of the contents of 'comps'.
template<typename... Args_t>
bool	addOwnedComponents (std::unique_ptr< Args_t >... comps)
virtual void	applyWeightSquared (bool flag)
	Disables or enables the usage of squared weights.
void	attachArgs (const RooAbsCollection &set)
	Bind this node to objects in set.
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	canComputeBatchWithCuda () 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 TObject *	clone (const char *newname=0) const =0
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.
std::size_t	dataToken () const
	Returns the token for retrieving results in the BatchMode. For internal use only.
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.
virtual std::unique_ptr< RooArgSet >	fillNormSetForServer (RooArgSet const &normSet, RooAbsArg const &server) const
	Fills a RooArgSet to be used as the normalization set for a server, given a normalization set for this RooAbsArg.
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.
bool	getObservables (const RooAbsCollection *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 *	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.
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
virtual bool	isCategory () 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	isReducerNode () const
virtual Bool_t	IsSortable () const
Bool_t	localNoDirtyInhibit () const
const TNamed *	namePtr () const
	De-duplicated pointer to this object's name.
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	setDataToken (std::size_t index)
	Sets the token for retrieving results in the BatchMode. For internal use only.
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 bool	redirectServersHook (const RooAbsCollection &, bool, bool, bool)
	Function that is called at the end of redirectServers().
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)
Bool_t	IsDestructed () const
	IsDestructed.
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'.

Static Public Member Functions
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	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 Longptr_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 Member Functions
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 Double_t	evaluate () const =0
	Evaluate this PDF / function / constant. Needs to be overridden by all derived classes.
virtual RooSpan< double >	evaluateBatch (std::size_t, std::size_t)=delete
virtual RooSpan< double >	evaluateSpan (RooBatchCompute::RunContext &evalData, const RooArgSet *normSet) const
	Evaluate this object for a batch/span of data points.
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	isValid () const
	Check if current value is valid.
virtual bool	isValidReal (double, bool printError=false) const
	Interface function to check if given value is a valid value for this object. Returns true unless overridden.
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
virtual RooPlot *	plotOn (RooPlot *frame, PlotOpt o) const
	Plotting engine function for internal use.
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 ()

Static Protected Member Functions
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
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
std::set< std::string >	_boolAttrib
std::set< std::string >	_boolAttribTransient
std::vector< RooAbsCache * >	_cacheList
RefCountList_t	_clientList
RefCountList_t	_clientListShape
RefCountList_t	_clientListValue
std::size_t	_dataToken = 0
	In which workspace do I live, if any.
Bool_t	_deleteWatch
RooExpensiveObjectCache *	_eocache {nullptr}
	Prohibit server redirects – Debugging tool.
Bool_t	_fast = false
Bool_t	_isConstant
	De-duplicated name pointer. This will be equal for all objects with the same name.
Bool_t	_localNoInhibitDirty
	Cached isConstant status.
RooWorkspace *	_myws
	Prevent 'AlwaysDirty' mode for this node.
const TNamed *	_namePtr
OperMode	_operMode
RooArgSet *	_ownedComponents
Bool_t	_prohibitServerRedirect
	Set of owned component.
RooRefArray	_proxyList
ProxyListCache	_proxyListCache
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
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
	cache of the list of proxies. Avoids type casting.
Static Protected Attributes inherited from RooPrintable
static Int_t	_nameLength

Private Member Functions
Double_t	_DEBUG_getVal (const RooArgSet *normalisationSet) const
	Debug version of getVal(), which is slow and does error checking.
void	checkBatchComputation (const RooBatchCompute::RunContext &evalData, std::size_t evtNo, const RooArgSet *normSet=nullptr, double relAccuracy=1.E-13) const
	Walk through expression tree headed by the this object, and check a batch computation.
Bool_t	matchArgsByName (const RooArgSet &allArgs, RooArgSet &matchedArgs, const TList &nameList) const
	Check if allArgs contains matching elements for each name in nameList.

Private Attributes
std::unique_ptr< TreeReadBuffer >	_treeReadBuffer

Static Private Attributes
static Int_t	_evalErrorCount = 0
static std::map< const RooAbsArg *, std::pair< std::string, std::list< EvalError > > >	_evalErrorList
static ErrorLoggingMode	_evalErrorMode = RooAbsReal::PrintErrors

Friends
class	BatchInterfaceAccessor
class	RooAbsAnaConvPdf
class	RooAbsOptGoodnessOfFit
class	RooAbsPdf
class	RooAddModel
class	RooAddPdf
class	RooDataProjBinding
class	RooRealBinding
class	RooRealIntegral
class	RooRealSumFunc
class	RooRealSumPdf
	A buffer for reading values from trees.
class	RooVectorDataStore

Additional Inherited Members
Protected Types inherited from TObject
enum	{ kOnlyPrepStep = BIT(3) }

#include <RooAbsReal.h>

Inheritance diagram for RooAbsReal:

Member Typedef Documentation

EvalErrorIter

typedef std::map<constRooAbsArg*,std::pair<std::string,std::list<EvalError>>>::const_iterator RooAbsReal::EvalErrorIter

Definition at line 339 of file RooAbsReal.h.

value_type

using RooAbsReal::value_type = double

Definition at line 66 of file RooAbsReal.h.

Member Enumeration Documentation

ErrorLoggingMode

enum RooAbsReal::ErrorLoggingMode

Enumerator
PrintErrors
CollectErrors
CountErrors
Ignore

Definition at line 329 of file RooAbsReal.h.

ScaleType

enum RooAbsReal::ScaleType

Enumerator
Raw
Relative
NumEvent
RelativeExpected

Definition at line 284 of file RooAbsReal.h.

Constructor & Destructor Documentation

RooAbsReal() [1/4]

RooAbsReal::RooAbsReal

(

)

coverity[UNINIT_CTOR] Default constructor

Definition at line 134 of file RooAbsReal.cxx.

RooAbsReal() [2/4]

RooAbsReal::RooAbsReal	(	const char *	name,
		const char *	title,
		const char *	unit = ""
	)

Constructor with unit label.

Definition at line 143 of file RooAbsReal.cxx.

RooAbsReal() [3/4]

RooAbsReal::RooAbsReal	(	const char *	name,
		const char *	title,
		Double_t	minVal,
		Double_t	maxVal,
		const char *	unit = ""
	)

Constructor with plot range and unit label.

Definition at line 157 of file RooAbsReal.cxx.

RooAbsReal() [4/4]

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

Copy constructor.

Definition at line 171 of file RooAbsReal.cxx.

~RooAbsReal()

RooAbsReal::~RooAbsReal ( )

virtual

Destructor.

Definition at line 213 of file RooAbsReal.cxx.

Member Function Documentation

_DEBUG_getVal()

Double_t RooAbsReal::_DEBUG_getVal ( const RooArgSet *  normalisationSet ) const

private

Debug version of getVal(), which is slow and does error checking.

Definition at line 4974 of file RooAbsReal.cxx.

analyticalIntegral()

Double_t RooAbsReal::analyticalIntegral ( Int_t  code, const char *  rangeName = 0  ) const

virtual

Implements the actual analytical integral(s) advertised by getAnalyticalIntegral.

This functions will only be called with codes returned by getAnalyticalIntegral, except code zero.

Reimplemented in RooGaussModel, RooArgusBG, RooBernstein, RooBifurGauss, RooBreitWigner, RooCBShape, RooChebychev, RooChiSquarePdf, RooCrystalBall, RooDstD0BG, RooGamma, RooGExpModel, RooKeysPdf, RooLognormal, RooNDKeysPdf, RooNovosibirsk, RooParametricStepFunction, RooPolynomial, RooUniform, RooAddition, RooConvCoefVar, RooEfficiency, RooHistFunc, RooHistPdf, RooMultiVarGaussian, RooPolyVar, RooProduct, RooTruthModel, RooLegendre, RooNonCentralChiSquare, RooSpHarmonic, RooExponential, RooGaussian, RooJohnson, RooPoisson, RooBinSamplingPdf, and RooWrapperPdf.

Definition at line 435 of file RooAbsReal.cxx.

analyticalIntegralWN()

Double_t RooAbsReal::analyticalIntegralWN ( Int_t  code, const RooArgSet *  normSet, const char *  rangeName = 0  ) const

virtual

Implements the actual analytical integral(s) advertised by getAnalyticalIntegral.

This functions will only be called with codes returned by getAnalyticalIntegral, except code zero.

Reimplemented in RooNormalizedPdf, RooBinSamplingPdf, RooWrapperPdf, PiecewiseInterpolation, RooParamHistFunc, RooAbsAnaConvPdf, RooAbsCachedReal, RooAbsPdf, RooAddModel, RooExtendPdf, RooProdPdf, RooProjectedPdf, RooRealSumFunc, RooRealSumPdf, RooSimultaneous, ParamHistFunc, RooLagrangianMorphFunc, RooAddPdf, and RooAbsCachedPdf.

Definition at line 421 of file RooAbsReal.cxx.

asTF()

TF1 * RooAbsReal::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.

Definition at line 4188 of file RooAbsReal.cxx.

attachToTree()

void RooAbsReal::attachToTree ( TTree &  t, Int_t  bufSize = 32000  )

protectedvirtual

Attach object to a branch of given TTree.

By default it will register the internal value cache RooAbsReal::_value as branch buffer for a Double_t tree branch with the same name as this object. If no Double_t branch is found with the name of this object, this method looks for a Float_t Int_t, UChar_t and UInt_t, etc branch. If any of these are found, a TreeReadBuffer that branch is created, and saved in _treeReadBuffer. TreeReadBuffer::operator double() can be used to convert the values. This is used by copyCache().

Implements RooAbsArg.

Reimplemented in RooRealVar.

Definition at line 3279 of file RooAbsReal.cxx.

attachToVStore()

void RooAbsReal::attachToVStore ( RooVectorDataStore &  vstore )

protectedvirtual

Implements RooAbsArg.

Reimplemented in RooRealVar.

Definition at line 3238 of file RooAbsReal.cxx.

binBoundaries()

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

virtual

Retrieve bin boundaries if this distribution is binned in obs.

Parameters

[in]	obs	Observable to retrieve boundaries for.
[in]	xlo	Beginning of range.
[in]	xhi	End of range.

Returns

The caller owns the returned list.

Reimplemented in RooLagrangianMorphFunc, PiecewiseInterpolation, RooMomentMorphFunc, RooParamHistFunc, RooAddition, RooFormulaVar, RooHistFunc, RooHistPdf, RooProdPdf, RooProduct, RooRealSumFunc, RooRealSumPdf, ParamHistFunc, RooAddPdf, RooBinSamplingPdf, RooBinWidthFunction, RooLinearCombination, and RooWrapperPdf.

Definition at line 3817 of file RooAbsReal.cxx.

bindVars()

RooAbsFunc * RooAbsReal::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).

For example, calling bindVars({x1,x3}) on an object F(x1,x2,x3,x4) returns an object f(x1,x3) that is evaluated using the current values of x2 and x4. The caller takes ownership of the returned adaptor.

Definition at line 3199 of file RooAbsReal.cxx.

checkBatchComputation()

void RooAbsReal::checkBatchComputation ( const RooBatchCompute::RunContext &  evalData, std::size_t  evtNo, const RooArgSet *  normSet = nullptr, double  relAccuracy = 1.E-13  ) const

private

Walk through expression tree headed by the this object, and check a batch computation.

Check if the results in evalData for event evtNo are identical to the current value of the nodes. If a difference is found, an exception is thrown, and propagates up the expression tree. The tree is formatted to see where the computation error happened.

Parameters

evalData	Data with results of batch computation. This is checked against the current value of the expression tree.
evtNo	Event from evalData to check for.
normSet	Optional normalisation set that was used in computation.
relAccuracy	Accuracy required for passing the check.

Definition at line 5024 of file RooAbsReal.cxx.

chi2FitDriver()

RooFitResult * RooAbsReal::chi2FitDriver ( RooAbsReal &  fcn, RooLinkedList &  cmdList  )

protected

Internal driver function for chi2 fits.

Definition at line 4623 of file RooAbsReal.cxx.

chi2FitTo() [1/4]

RooFitResult * RooAbsReal::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()  )

virtual

Perform a \( \chi^2 \) fit to given histogram.

By default the fit is executed through the MINUIT commands MIGRAD, HESSE in succession

The following named arguments are supported

	Options to control construction of chi2
Range(const char* name)	Fit only data inside range with given name
Range(Double_t lo, Double_t hi)	Fit only data inside given range. A range named "fit" is created on the fly on all observables. Multiple comma separated range names can be specified.
NumCPU(int num)	Parallelize NLL calculation on num CPUs
Optimize(Bool_t flag)	Activate constant term optimization (on by default)
IntegrateBins()	Integrate PDF within each bin. This sets the desired precision.
	Options to control flow of fit procedure
InitialHesse(Bool_t flag)	Flag controls if HESSE before MIGRAD as well, off by default
Hesse(Bool_t flag)	Flag controls if HESSE is run after MIGRAD, on by default
Minos(Bool_t flag)	Flag controls if MINOS is run after HESSE, on by default
Minos(const RooArgSet& set)	Only run MINOS on given subset of arguments
Save(Bool_t flag)	Flac controls if RooFitResult object is produced and returned, off by default
Strategy(Int_t flag)	Set Minuit strategy (0 through 2, default is 1)
FitOptions(const char* optStr)	Steer fit with classic options string (for backward compatibility). Use of this option excludes use of any of the new style steering options.
	Options to control informational output
Verbose(Bool_t flag)	Flag controls if verbose output is printed (NLL, parameter changes during fit
Timer(Bool_t flag)	Time CPU and wall clock consumption of fit steps, off by default
PrintLevel(Int_t level)	Set Minuit print level (-1 through 3, default is 1). At -1 all RooFit informational messages are suppressed as well
Warnings(Bool_t flag)	Enable or disable MINUIT warnings (enabled by default)
PrintEvalErrors(Int_t numErr)	Control number of p.d.f evaluation errors printed per likelihood evaluation. A negative value suppress output completely, a zero value will only print the error count per p.d.f component, a positive value is will print details of each error up to numErr messages per p.d.f component.

Reimplemented in RooAbsPdf.

Definition at line 4394 of file RooAbsReal.cxx.

chi2FitTo() [2/4]

RooFitResult * RooAbsReal::chi2FitTo ( RooDataHist &  data, const RooLinkedList &  cmdList  )

virtual

Perform a \( \chi^2 \) fit to given histogram.

By default the fit is executed through the MINUIT commands MIGRAD, HESSE in succession

The following named arguments are supported

	Options to control construction of chi2
Range(const char* name)	Fit only data inside range with given name
Range(Double_t lo, Double_t hi)	Fit only data inside given range. A range named "fit" is created on the fly on all observables. Multiple comma separated range names can be specified.
NumCPU(int num)	Parallelize NLL calculation on num CPUs
Optimize(Bool_t flag)	Activate constant term optimization (on by default)
IntegrateBins()	Integrate PDF within each bin. This sets the desired precision.
	Options to control flow of fit procedure
InitialHesse(Bool_t flag)	Flag controls if HESSE before MIGRAD as well, off by default
Hesse(Bool_t flag)	Flag controls if HESSE is run after MIGRAD, on by default
Minos(Bool_t flag)	Flag controls if MINOS is run after HESSE, on by default
Minos(const RooArgSet& set)	Only run MINOS on given subset of arguments
Save(Bool_t flag)	Flac controls if RooFitResult object is produced and returned, off by default
Strategy(Int_t flag)	Set Minuit strategy (0 through 2, default is 1)
FitOptions(const char* optStr)	Steer fit with classic options string (for backward compatibility). Use of this option excludes use of any of the new style steering options.
	Options to control informational output
Verbose(Bool_t flag)	Flag controls if verbose output is printed (NLL, parameter changes during fit
Timer(Bool_t flag)	Time CPU and wall clock consumption of fit steps, off by default
PrintLevel(Int_t level)	Set Minuit print level (-1 through 3, default is 1). At -1 all RooFit informational messages are suppressed as well
Warnings(Bool_t flag)	Enable or disable MINUIT warnings (enabled by default)
PrintEvalErrors(Int_t numErr)	Control number of p.d.f evaluation errors printed per likelihood evaluation. A negative value suppress output completely, a zero value will only print the error count per p.d.f component, a positive value is will print details of each error up to numErr messages per p.d.f component.

Reimplemented in RooAbsPdf, and RooAbsPdf.

Definition at line 4412 of file RooAbsReal.cxx.

chi2FitTo() [3/4]

RooAbsReal::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()  )

virtual

Perform a 2-D \( \chi^2 \) fit using a series of x and y values stored in the dataset xydata.

The y values can either be the event weights, or can be another column designated by the YVar() argument. The y value must have errors defined for the \( \chi^2 \) to be well defined.

	Options to control construction of the \( \chi^2 \)
YVar(RooRealVar& yvar)	Designate given column in dataset as Y value
Integrate(Bool_t flag)	Integrate function over range specified by X errors rather than take value at bin center.
	Options to control flow of fit procedure
InitialHesse(Bool_t flag)	Flag controls if HESSE before MIGRAD as well, off by default
Hesse(Bool_t flag)	Flag controls if HESSE is run after MIGRAD, on by default
Minos(Bool_t flag)	Flag controls if MINOS is run after HESSE, on by default
Minos(const RooArgSet& set)	Only run MINOS on given subset of arguments
Save(Bool_t flag)	Flac controls if RooFitResult object is produced and returned, off by default
Strategy(Int_t flag)	Set Minuit strategy (0 through 2, default is 1)
FitOptions(const char* optStr)	Steer fit with classic options string (for backward compatibility). Use of this option excludes use of any of the new style steering options.
	Options to control informational output
Verbose(Bool_t flag)	Flag controls if verbose output is printed (NLL, parameter changes during fit
Timer(Bool_t flag)	Time CPU and wall clock consumption of fit steps, off by default
PrintLevel(Int_t level)	Set Minuit print level (-1 through 3, default is 1). At -1 all RooFit informational messages are suppressed as well
Warnings(Bool_t flag)	Enable or disable MINUIT warnings (enabled by default)
PrintEvalErrors(Int_t numErr)	Control number of p.d.f evaluation errors printed per likelihood evaluation. A negative value suppress output completely, a zero value will only print the error count per p.d.f component, a positive value is will print details of each error up to numErr messages per p.d.f component.

PyROOT

The RooAbsReal::chi2FitTo() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function.

Reimplemented in RooAbsPdf.

Definition at line 4519 of file RooAbsReal.cxx.

chi2FitTo() [4/4]

RooFitResult * RooAbsReal::chi2FitTo ( RooDataSet &  xydata, const RooLinkedList &  cmdList  )

virtual

Perform a 2-D \( \chi^2 \) fit using a series of x and y values stored in the dataset xydata.

The y values can either be the event weights, or can be another column designated by the YVar() argument. The y value must have errors defined for the \( \chi^2 \) to be well defined.

	Options to control construction of the \( \chi^2 \)
YVar(RooRealVar& yvar)	Designate given column in dataset as Y value
Integrate(Bool_t flag)	Integrate function over range specified by X errors rather than take value at bin center.
	Options to control flow of fit procedure
InitialHesse(Bool_t flag)	Flag controls if HESSE before MIGRAD as well, off by default
Hesse(Bool_t flag)	Flag controls if HESSE is run after MIGRAD, on by default
Minos(Bool_t flag)	Flag controls if MINOS is run after HESSE, on by default
Minos(const RooArgSet& set)	Only run MINOS on given subset of arguments
Save(Bool_t flag)	Flac controls if RooFitResult object is produced and returned, off by default
Strategy(Int_t flag)	Set Minuit strategy (0 through 2, default is 1)
FitOptions(const char* optStr)	Steer fit with classic options string (for backward compatibility). Use of this option excludes use of any of the new style steering options.
	Options to control informational output
Verbose(Bool_t flag)	Flag controls if verbose output is printed (NLL, parameter changes during fit
Timer(Bool_t flag)	Time CPU and wall clock consumption of fit steps, off by default
PrintLevel(Int_t level)	Set Minuit print level (-1 through 3, default is 1). At -1 all RooFit informational messages are suppressed as well
Warnings(Bool_t flag)	Enable or disable MINUIT warnings (enabled by default)
PrintEvalErrors(Int_t numErr)	Control number of p.d.f evaluation errors printed per likelihood evaluation. A negative value suppress output completely, a zero value will only print the error count per p.d.f component, a positive value is will print details of each error up to numErr messages per p.d.f component.

PyROOT

The RooAbsReal::chi2FitTo() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function.

Reimplemented in RooAbsPdf.

Definition at line 4537 of file RooAbsReal.cxx.

clearEvalErrorLog()

void RooAbsReal::clearEvalErrorLog ( )

static

Clear the stack of evaluation error messages.

Definition at line 3799 of file RooAbsReal.cxx.

computeBatch()

void RooAbsReal::computeBatch ( cudaStream_t *  , double *  output, size_t  nEvents, RooFit::Detail::DataMap const &  dataMap  ) const

virtual

Base function for computing multiple values of a RooAbsReal.

Parameters

output	The array where the results are stored
nEvents	The number of events to be processed
dataMap	A std::map containing the input data for the computations

Reimplemented in RooBernstein, RooBifurGauss, RooBreitWigner, RooBukinPdf, RooCBShape, RooChebychev, RooChiSquarePdf, RooDstD0BG, RooGamma, RooLandau, RooLognormal, RooNovosibirsk, RooVoigtian, RooAddition, RooGenericPdf, RooProdPdf, RooProduct, RooRatio, RooExponential, RooJohnson, RooPoisson, RooAddPdf, ROOT::Experimental::RooNLLVarNew, PiecewiseInterpolation, RooArgusBG, RooAbsCachedPdf, RooHistFunc, RooRealSumPdf, ParamHistFunc, RooGaussian, RooBinWidthFunction, RooConstraintSum, RooNormalizedPdf, and RooFormulaVar.

Definition at line 4908 of file RooAbsReal.cxx.

copyCache()

void RooAbsReal::copyCache ( const RooAbsArg *  source, Bool_t  valueOnly = kFALSE, Bool_t  setValDirty = kTRUE  )

protectedvirtual

Copy the cached value of another RooAbsArg to our cache.

Warning: This function just copies the cached values of source, it is the callers responsibility to make sure the cache is clean.

Implements RooAbsArg.

Reimplemented in RooAbsRealLValue, and RooRealVar.

Definition at line 3223 of file RooAbsReal.cxx.

createChi2() [1/4]

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()  )

virtual

Create a \( \chi^2 \) variable from a histogram and this function.

The following named arguments are supported

	Options to control construction of the \( \chi^2 \)
DataError(RooAbsData::ErrorType)	Choose between Poisson errors and Sum-of-weights errors
NumCPU(Int_t)	Activate parallel processing feature on N processes
Range()	Calculate \( \chi^2 \) only in selected region
IntegrateBins()	Integrate PDF within each bin. This sets the desired precision.

Parameters

data	Histogram with data

Returns

\( \chi^2 \) variable

PyROOT

The RooAbsReal::createChi2() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function.

Reimplemented in RooAbsPdf, and RooAbsPdf.

Definition at line 4447 of file RooAbsReal.cxx.

createChi2() [2/4]

RooAbsReal * RooAbsReal::createChi2 ( RooDataHist &  data, const RooLinkedList &  cmdList  )

virtual

Create a \( \chi^2 \) variable from a histogram and this function.

The following named arguments are supported

	Options to control construction of the \( \chi^2 \)
DataError(RooAbsData::ErrorType)	Choose between Poisson errors and Sum-of-weights errors
NumCPU(Int_t)	Activate parallel processing feature on N processes
Range()	Calculate \( \chi^2 \) only in selected region
IntegrateBins()	Integrate PDF within each bin. This sets the desired precision.

Parameters

data	Histogram with data

Returns

\( \chi^2 \) variable

PyROOT

The RooAbsReal::createChi2() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function.

Parameters

cmdList

List with RooCmdArg() from the table

Reimplemented in RooAbsPdf.

Definition at line 4463 of file RooAbsReal.cxx.

createChi2() [3/4]

RooAbsReal * 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()  )

virtual

Create a \( \chi^2 \) from a series of x and y values stored in a dataset.

The y values can either be the event weights (default), or can be another column designated by the YVar() argument. The y value must have errors defined for the \( \chi^2 \) to be well defined.

The following named arguments are supported

	Options to control construction of the \( \chi^2 \)
YVar(RooRealVar& yvar)	Designate given column in dataset as Y value
Integrate(Bool_t flag)	Integrate function over range specified by X errors rather than take value at bin center.

Reimplemented in RooAbsPdf.

Definition at line 4571 of file RooAbsReal.cxx.

createChi2() [4/4]

RooAbsReal * RooAbsReal::createChi2 ( RooDataSet &  data, const RooLinkedList &  cmdList  )

virtual

See RooAbsReal::createChi2(RooDataSet&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&)

Reimplemented in RooAbsPdf, and RooAbsPdf.

Definition at line 4588 of file RooAbsReal.cxx.

createFundamental()

RooAbsArg * RooAbsReal::createFundamental ( const char *  newname = 0 ) const

virtual

Create a RooRealVar fundamental object with our properties.

The new object will be created without any fit limits.

Implements RooAbsArg.

Definition at line 3378 of file RooAbsReal.cxx.

createHistogram() [1/3]

RooAbsReal::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.

Parameters

[in]	name	Name of the ROOT histogram
[in]	xvar	Observable to be mapped on x axis of ROOT histogram
[in]	arg[0-9]	Arguments according to list below

Returns

TH1 *, one of TH{1,2,3}. The caller takes ownership.

	Effect on histogram creation
IntrinsicBinning()	Apply binning defined by function or pdf (as advertised via binBoundaries() method)
Binning(const char* name)	Apply binning with given name to x axis of histogram
Binning(RooAbsBinning& binning)	Apply specified binning to x axis of histogram
Binning(int nbins, [double lo, double hi])	Apply specified binning to x axis of histogram
ConditionalObservables(Args_t &&... argsOrArgSet)	Do not normalise PDF over following observables when projecting PDF into histogram.
Scaling(Bool_t)	Apply density-correction scaling (multiply by bin volume), default is kTRUE
Extended(Bool_t)	Plot event yield instead of probability density (for extended pdfs only)
YVar(const RooAbsRealLValue& var,...)	Observable to be mapped on y axis of ROOT histogram. The YVar() and ZVar() arguments can be supplied with optional Binning() arguments to control the binning of the Y and Z axes, e.g. createHistogram("histo",x,Binning(-1,1,20), YVar(y,Binning(-1,1,30)), ZVar(z,Binning("zbinning")))
ZVar(const RooAbsRealLValue& var,...)	Observable to be mapped on z axis of ROOT histogram

PyROOT

The RooAbsReal::createHistogram() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function.

Definition at line 1350 of file RooAbsReal.cxx.

createHistogram() [2/3]

TH1 * RooAbsReal::createHistogram	(	const char *	name,
		const RooAbsRealLValue &	xvar,
		RooLinkedList &	argList
	)		const

Internal method implementing createHistogram.

Definition at line 1368 of file RooAbsReal.cxx.

createHistogram() [3/3]

TH1 * RooAbsReal::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.

Parameters

[in]	varNameList	List of variables to use for x, y, z axis, separated by ':'
[in]	xbins	Number of bins for first variable
[in]	ybins	Number of bins for second variable
[in]	zbins	Number of bins for third variable

Returns

TH1*, which is one of TH[1-3]. The histogram is owned by the caller.

For a greater degree of control use RooAbsReal::createHistogram(const char *, const RooAbsRealLValue&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&) const

Definition at line 1268 of file RooAbsReal.cxx.

createIntegral() [1/6]

RooAbsReal * RooAbsReal::createIntegral ( const RooArgSet &  iset, const char *  rangeName  ) const

inline

Create integral over observables in iset in range named rangeName.

Definition at line 215 of file RooAbsReal.h.

createIntegral() [2/6]

RooAbsReal * RooAbsReal::createIntegral ( const RooArgSet &  iset, const RooArgSet &  nset, const char *  rangeName = 0  ) const

inline

Create integral over observables in iset in range named rangeName with integrand normalized over observables in nset.

Definition at line 219 of file RooAbsReal.h.

createIntegral() [3/6]

RooAbsReal * RooAbsReal::createIntegral ( const RooArgSet &  iset, const RooArgSet &  nset, const RooNumIntConfig &  cfg, const char *  rangeName = 0  ) const

inline

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.

Definition at line 224 of file RooAbsReal.h.

createIntegral() [4/6]

RooAbsReal * RooAbsReal::createIntegral ( const RooArgSet &  iset, const RooArgSet *  nset = 0, const RooNumIntConfig *  cfg = 0, const char *  rangeName = 0  ) const

virtual

Create an object that represents the integral of the function over one or more observables listed in iset.

The actual integration calculation is only performed when the return object is evaluated. The name of the integral object is automatically constructed from the name of the input function, the variables it integrates and the range integrates over. If nset is specified the integrand is request to be normalized over nset (only meaningful when the integrand is a pdf). If rangename is specified the integral is performed over the named range, otherwise it is performed over the domain of each integrated observable. If cfg is specified it will be used to configure any numeric integration aspect of the integral. It will not force the integral to be performed numerically, which is decided automatically by RooRealIntegral.

Reimplemented in RooRealIntegral, RooAbsRealLValue, and RooBinSamplingPdf.

Definition at line 595 of file RooAbsReal.cxx.

createIntegral() [5/6]

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.

The actual integration calculation is only performed when the returned object is evaluated. The name of the integral object is automatically constructed from the name of the input function, the variables it integrates and the range integrates over.

Note

The integral over a PDF is usually not normalised (i.e., it is usually not 1 when integrating the PDF over the full range). In fact, this integral is used to compute the normalisation of each PDF. See the rf110 tutorial at https://root.cern.ch/doc/master/group__tutorial__roofit.html for details on PDF normalisation.

The following named arguments are accepted

	Effect on integral creation
NormSet(const RooArgSet&)	Specify normalization set, mostly useful when working with PDFs
NumIntConfig(const RooNumIntConfig&)	Use given configuration for any numeric integration, if necessary
Range(const char* name)	Integrate only over given range. Multiple ranges may be specified by passing multiple Range() arguments

PyROOT

The RooAbsReal::createIntegral() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function.

Definition at line 554 of file RooAbsReal.cxx.

createIntegral() [6/6]

RooAbsReal * RooAbsReal::createIntegral ( const RooArgSet &  iset, const RooNumIntConfig &  cfg, const char *  rangeName = 0  ) const

inline

Create integral over observables in iset in range named rangeName using specified configuration for any numeric integration.

Definition at line 228 of file RooAbsReal.h.

createIntObj()

RooAbsReal * RooAbsReal::createIntObj ( const RooArgSet &  iset, const RooArgSet *  nset, const RooNumIntConfig *  cfg, const char *  rangeName  ) const

protected

Internal utility function for createIntegral() that creates the actual integral object.

Definition at line 625 of file RooAbsReal.cxx.

createIntRI()

RooAbsReal * RooAbsReal::createIntRI	(	const RooArgSet &	iset,
		const RooArgSet &	nset = RooArgSet()
	)

Utility function for createRunningIntegral.

It creates an object implementing the standard (analytical) integration technique for calculating the running integral.

Definition at line 4096 of file RooAbsReal.cxx.

createPlotProjection() [1/2]

const RooAbsReal * 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.

Create a new object \( G \) that represents the normalized projection:

\[ G[x,p] = \frac{\int F[x,y,p] \; \mathrm{d}\{y\}} {\int F[x,y,p] \; \mathrm{d}\{x\} \, \mathrm{d}\{y\}} \]

where \( F[x,y,p] \) is the function we represent, and \( \{ p \} \) are the remaining variables ("parameters").

Parameters

[in]	dependentVars	Dependent variables over which to normalise, \( \{x\} \).
[in]	projectedVars	Variables to project out, \( \{ y \} \).
[out]	cloneSet	Will be set to a RooArgSet*, which will contain a clone of *this plus its projection integral object. The latter will also be returned. The caller takes ownership of this set.
[in]	rangeName	Optional range for projection integrals
[in]	condObs	Conditional observables, which are not integrated for normalisation, even if they are in dependentVars or projectedVars.

Returns

A pointer to the newly created object, or zero in case of an error. The caller is responsible for deleting the cloneSet (which includes the returned projection object).

Definition at line 893 of file RooAbsReal.cxx.

createPlotProjection() [2/2]

const RooAbsReal * 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.

createPlotProjection()

Definition at line 864 of file RooAbsReal.cxx.

createProfile()

RooAbsReal * RooAbsReal::createProfile ( const RooArgSet &  paramsOfInterest )

virtual

Create a RooProfileLL object that eliminates all nuisance parameters in the present function.

The nuisance parameters are defined as all parameters of the function except the stated paramsOfInterest

Reimplemented in RooProfileLL.

Definition at line 512 of file RooAbsReal.cxx.

createRunningIntegral() [1/2]

RooAbsReal * 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&)

Definition at line 3973 of file RooAbsReal.cxx.

createRunningIntegral() [2/2]

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.

\[ \int_{x_\mathrm{lo}}^x f(x') \, \mathrm{d}x' \]

The actual integration calculation is only performed when the return object is evaluated. The name of the integral object is automatically constructed from the name of the input function, the variables it integrates and the range integrates over. The default strategy to calculate the running integrals is

• If the integrand (this object) supports analytical integration, construct an integral object that calculate the running integrals value by calculating the analytical integral each time the running integral object is evaluated
• If the integrand (this object) requires numeric integration to construct the running integral create an object of class RooNumRunningInt which first samples the entire function and integrates the sampled function numerically. This method has superior performance as there is no need to perform a full (numeric) integration for each evaluation of the running integral object, but only when one of its parameters has changed.

The choice of strategy can be changed with the ScanAll() argument, which forces the use of the scanning technique implemented in RooNumRunningInt for all use cases, and with the ScanNone() argument which forces the 'integrate each evaluation' technique for all use cases. The sampling granularity for the scanning technique can be controlled with the ScanParameters technique which allows to specify the number of samples to be taken, and to which order the resulting running integral should be interpolated. The default values are 1000 samples and 2nd order interpolation.

The following named arguments are accepted

	Effect on integral creation
SupNormSet(const RooArgSet&)	Observables over which should be normalized in addition to the integration observables
ScanParameters(Int_t nbins, Int_t intOrder)	Parameters for scanning technique of making CDF: number of sampled bins and order of interpolation applied on numeric cdf
ScanNum()	Apply scanning technique if cdf integral involves numeric integration
ScanAll()	Always apply scanning technique
ScanNone()	Never apply scanning technique

PyROOT

The RooAbsReal::createRunningIntegral() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function.

Definition at line 4017 of file RooAbsReal.cxx.

createScanRI()

RooAbsReal * 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.

Definition at line 4079 of file RooAbsReal.cxx.

defaultErrorLevel()

virtual Double_t RooAbsReal::defaultErrorLevel ( ) const

inlinevirtual

Reimplemented in RooAddition, RooChi2Var, RooFormulaVar, RooNLLVar, RooXYChi2Var, RooFit::TestStatistics::RooRealL, and ROOT::Experimental::RooNLLVarNew.

Definition at line 256 of file RooAbsReal.h.

defaultIntegratorConfig()

RooNumIntConfig * RooAbsReal::defaultIntegratorConfig ( )

static

Returns the default numeric integration configuration for all RooAbsReals.

Definition at line 3525 of file RooAbsReal.cxx.

derivative() [1/2]

RooDerivative * RooAbsReal::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.

Definition at line 4276 of file RooAbsReal.cxx.

derivative() [2/2]

RooDerivative * RooAbsReal::derivative	(	RooRealVar &	obs,
		Int_t	order = 1,
		Double_t	eps = 0.001
	)

Return function representing first, second or third order derivative of this function.

Definition at line 4264 of file RooAbsReal.cxx.

enableOffsetting()

virtual void RooAbsReal::enableOffsetting ( Bool_t  )

inlinevirtual

Reimplemented in RooAbsTestStatistic, RooRealMPFE, and RooAddition.

Definition at line 371 of file RooAbsReal.h.

evalErrorIter()

RooAbsReal::EvalErrorIter RooAbsReal::evalErrorIter ( )

static

Definition at line 351 of file RooAbsReal.cxx.

evalErrorLoggingMode()

RooAbsReal::ErrorLoggingMode RooAbsReal::evalErrorLoggingMode ( )

static

Return current evaluation error logging mode.

Definition at line 4774 of file RooAbsReal.cxx.

evaluate()

virtual Double_t RooAbsReal::evaluate ( ) const

protectedpure virtual

Evaluate this PDF / function / constant. Needs to be overridden by all derived classes.

Implemented in RooStats::HistFactory::FlexibleInterpVar, RooStats::HistFactory::LinInterpVar, PiecewiseInterpolation, RooStats::HistFactory::RooBarlowBeestonLL, Roo2DKeysPdf, RooArgusBG, RooBernstein, RooBifurGauss, RooBreitWigner, RooBukinPdf, RooCBShape, RooCFunction1Binding< VO, VI >, RooCFunction1PdfBinding< VO, VI >, RooCFunction2Binding< VO, VI1, VI2 >, RooCFunction2PdfBinding< VO, VI1, VI2 >, RooCFunction3Binding< VO, VI1, VI2, VI3 >, RooCFunction3PdfBinding< VO, VI1, VI2, VI3 >, RooCFunction4Binding< VO, VI1, VI2, VI3, VI4 >, RooCFunction4PdfBinding< VO, VI1, VI2, VI3, VI4 >, RooChebychev, RooChiSquarePdf, RooCrystalBall, RooDstD0BG, RooFunctor1DBinding, RooFunctor1DPdfBinding, RooFunctorBinding, RooFunctorPdfBinding, RooGamma, RooGaussModel, RooGExpModel, RooHistConstraint, RooIntegralMorph, RooJeffreysPrior, RooKeysPdf, RooLandau, RooLognormal, RooMomentMorph, RooMomentMorphFunc, RooMomentMorphFuncND, RooMomentMorphND, RooMultiBinomial, RooNDKeysPdf, RooNovosibirsk, RooParametricStepFunction, RooParamHistFunc, RooPolynomial, RooStepFunction, RooTFnBinding, RooTFnPdfBinding, RooUnblindCPAsymVar, RooUnblindOffset, RooUnblindPrecision, RooUnblindUniform, RooUniform, RooVoigtian, RooAbsAnaConvPdf, RooAbsTestStatistic, RooAddition, RooAddModel, RooCachedPdf, RooCachedReal, RooChangeTracker, RooConstVar, RooConvCoefVar, RooDerivative, RooEfficiency, RooEffProd, RooErrorVar, RooExtendedBinding, RooExtendedTerm, RooExtendPdf, RooFFTConvPdf, RooFirstMoment, RooFormulaVar, RooFracRemainder, RooGenericPdf, RooGenProdProj, RooHistFunc, RooHistPdf, RooLinearVar, RooMoment, RooMultiVarGaussian, RooNumConvolution, RooNumConvPdf, RooNumRunningInt, RooPolyFunc, RooPolyVar, RooProdPdf, RooProduct, RooProfileLL, RooProjectedPdf, RooPullVar, RooRangeBoolean, RooRatio, RooRealIntegral, RooRealMPFE, RooRealSumFunc, RooRealSumPdf, RooRealVar, RooRecursiveFraction, RooSecondMoment, RooSimultaneous, RooTruthModel, RooLegendre, RooNonCentralChiSquare, RooSpHarmonic, RooStats::Heaviside, NuMuToNuE_Oscillation, ParamHistFunc, RooExponential, RooGaussian, RooJohnson, RooLagrangianMorphFunc, RooPoisson, RooAddPdf, RooBinSamplingPdf, RooBinWidthFunction, RooConstraintSum, RooFit::TestStatistics::RooRealL, RooLinearCombination, RooWrapperPdf, ROOT::Experimental::RooNLLVarNew, RooNormalizedPdf, and RooHypatia2.

evaluateBatch()

virtual RooSpan< double > RooAbsReal::evaluateBatch ( std::size_t  , std::size_t    )

protectedvirtualdelete

Deprecated:

evaluateBatch() has been removed in favour of the faster evaluateSpan(). If your code is affected by this change, please consult the release notes for ROOT 6.24 for guidance on how to make this transition. https://root.cern/doc/v624/release-notes.html

evaluateSpan()

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

protectedvirtual

Evaluate this object for a batch/span of data points.

This is the backend used by getValues() to perform computations. A span pointing to the computation results will be stored in evalData, and also be returned to getValues(), which then finalises the computation.

Note

Derived classes should override this function to reach maximal performance. If this function is not overridden, the slower, single-valued evaluate() will be called in a loop.

A computation proceeds as follows:

• Request input data from all our servers using getValues(evalData, normSet). Those will return
  • batches of size 1 if their value is constant over the entire dataset.
  • batches of the size of the dataset stored in evalData otherwise. If evalData already contains values for those objects, these will return data without recomputing those.
• Create a new batch in evalData of the same size as those returned from the servers.
• Use the input data to perform the computations, and store those in the batch.

Note

Error checking and normalisation (of PDFs) will be performed in getValues().

Parameters

[in,out]	evalData	Object holding data that should be used in computations. Computation results have to be stored here.
[in]	normSet	Optional normalisation set passed down to the servers of this object.

Returns

Span pointing to the results. The memory is owned by evalData.

Reimplemented in RooUniform, RooFormulaVar, RooLegendre, RooBinSamplingPdf, RooHypatia2, and RooGenericPdf.

Definition at line 4837 of file RooAbsReal.cxx.

fillDataHist()

RooDataHist * RooAbsReal::fillDataHist	(	RooDataHist *	hist,
		const RooArgSet *	normSet,
		Double_t	scaleFactor,
		Bool_t	correctForBinSize = kFALSE,
		Bool_t	showProgress = kFALSE
	)		const

Fill a RooDataHist with values sampled from this function at the bin centers.

If extendedMode is true, the p.d.f. values is multiplied by the number of expected events in each bin

An optional scaling by a given scaleFactor can be performed. Returns a pointer to the input RooDataHist, or zero in case of an error.

If correctForBinSize is true the RooDataHist is filled with the functions density (function value times the bin volume) rather than function value.

If showProgress is true a process indicator is printed on stdout in steps of one percent, which is mostly useful for the sampling of expensive functions such as likelihoods

Definition at line 1206 of file RooAbsReal.cxx.

fillHistogram()

TH1 * RooAbsReal::fillHistogram	(	TH1 *	hist,
		const RooArgList &	plotVars,
		Double_t	scaleFactor = 1,
		const RooArgSet *	projectedVars = 0,
		Bool_t	scaleForDensity = 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.

Our value is calculated by first integrating out any variables in projectedVars and then scaling the result by scaleFactor. Returns a pointer to the input histogram, or zero in case of an error. The input histogram can be any TH1 subclass, and therefore of arbitrary dimension. Variables are matched with the (x,y,...) dimensions of the input histogram according to the order in which they appear in the input plotVars list. If scaleForDensity is true the histogram is filled with a the functions density rather than the functions value (i.e. the value at the bin center is multiplied with bin volume)

Definition at line 1029 of file RooAbsReal.cxx.

fillTreeBranch()

void RooAbsReal::fillTreeBranch ( TTree &  t )

protectedvirtual

Fill the tree branch that associated with this object with its current value.

Implements RooAbsArg.

Reimplemented in RooRealVar.

Definition at line 3347 of file RooAbsReal.cxx.

findInnerMostIntegration()

void RooAbsReal::findInnerMostIntegration ( const RooArgSet &  allObs, RooArgSet &  innerObs, const char *  rangeName  ) const

protected

Utility function for createIntObj() that aids in the construct of recursive integrals over functions with multiple observables with parameterized ranges.

This function finds in a given set allObs over which integration is requested the largeset subset of observables that can be integrated simultaneously. This subset consists of observables with fixed ranges and observables with parameterized ranges whose parameterization does not depend on any observable that is also integrated.

Definition at line 743 of file RooAbsReal.cxx.

findRoot()

Double_t RooAbsReal::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.

(Calculation is performed with Brent root finding algorithm)

Definition at line 4328 of file RooAbsReal.cxx.

fixAddCoefNormalization()

void RooAbsReal::fixAddCoefNormalization ( const RooArgSet &  addNormSet = RooArgSet(), Bool_t  force = kTRUE  )

virtual

Fix the interpretation of the coefficient of any RooAddPdf component in the expression tree headed by this object to the given set of observables.

If the force flag is false, the normalization choice is only fixed for those RooAddPdf components that have the default 'automatic' interpretation of coefficients (i.e. the interpretation is defined by the observables passed to getVal()). If force is true, also RooAddPdf that already have a fixed interpretation are changed to a new fixed interpretation.

Definition at line 3907 of file RooAbsReal.cxx.

fixAddCoefRange()

void RooAbsReal::fixAddCoefRange ( const char *  rangeName = 0, Bool_t  force = kTRUE  )

virtual

Fix the interpretation of the coefficient of any RooAddPdf component in the expression tree headed by this object to the given set of observables.

If the force flag is false, the normalization range choice is only fixed for those RooAddPdf components that currently use the default full domain to interpret their coefficients. If force is true, also RooAddPdf that already have a fixed interpretation range are changed to a new fixed interpretation range.

Definition at line 3937 of file RooAbsReal.cxx.

forceAnalyticalInt()

virtual Bool_t RooAbsReal::forceAnalyticalInt ( const RooAbsArg &  ) const

inlinevirtual

Reimplemented in RooParamHistFunc, RooAbsCachedReal, RooAddition, RooAddModel, RooExtendPdf, RooSimultaneous, ParamHistFunc, RooAddPdf, RooNormalizedPdf, RooRealSumFunc, RooRealSumPdf, RooLagrangianMorphFunc, RooAbsAnaConvPdf, RooAbsCachedPdf, RooProdPdf, RooProduct, RooProjectedPdf, RooBinSamplingPdf, and RooWrapperPdf.

Definition at line 171 of file RooAbsReal.h.

forceNumInt()

virtual void RooAbsReal::forceNumInt ( Bool_t  flag = kTRUE )

inlinevirtual

Definition at line 176 of file RooAbsReal.h.

functor()

RooFunctor * RooAbsReal::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.

Definition at line 4162 of file RooAbsReal.cxx.

getAnalyticalIntegral()

Int_t RooAbsReal::getAnalyticalIntegral ( RooArgSet &  allVars, RooArgSet &  analVars, const char *  rangeName = 0  ) const

virtual

Interface function getAnalyticalIntergral advertises the analytical integrals that are supported.

'integSet' is the set of dependents for which integration is requested. The function should copy the subset of dependents it can analytically integrate to anaIntSet and return a unique identification code for this integration configuration. If no integration can be performed, zero should be returned.

Reimplemented in RooArgusBG, RooBernstein, RooBifurGauss, RooBreitWigner, RooCBShape, RooChebychev, RooChiSquarePdf, RooCrystalBall, RooDstD0BG, RooGamma, RooGaussModel, RooGExpModel, RooKeysPdf, RooLognormal, RooNDKeysPdf, RooNovosibirsk, RooParametricStepFunction, RooPolynomial, RooUniform, RooConvCoefVar, RooEfficiency, RooHistFunc, RooHistPdf, RooMultiVarGaussian, RooPolyVar, RooTruthModel, RooLegendre, RooNonCentralChiSquare, RooSpHarmonic, RooExponential, RooGaussian, RooJohnson, RooPoisson, RooAddition, RooBinSamplingPdf, and RooWrapperPdf.

Definition at line 409 of file RooAbsReal.cxx.

getAnalyticalIntegralWN()

Int_t RooAbsReal::getAnalyticalIntegralWN ( RooArgSet &  allDeps, RooArgSet &  analDeps, const RooArgSet *  normSet, const char *  rangeName = 0  ) const

virtual

Variant of getAnalyticalIntegral that is also passed the normalization set that should be applied to the integrand of which the integral is requested.

For certain operator p.d.f it is useful to overload this function rather than analyticalIntegralWN() as the additional normalization information may be useful in determining a more efficient decomposition of the requested integral.

Reimplemented in RooNormalizedPdf, PiecewiseInterpolation, RooParamHistFunc, RooAbsAnaConvPdf, RooAbsCachedReal, RooExtendPdf, RooProduct, RooProjectedPdf, ParamHistFunc, RooBinSamplingPdf, RooWrapperPdf, RooAbsCachedPdf, RooAddModel, RooProdPdf, RooRealSumFunc, RooRealSumPdf, RooSimultaneous, RooLagrangianMorphFunc, and RooAddPdf.

Definition at line 392 of file RooAbsReal.cxx.

getForceNumInt()

Bool_t RooAbsReal::getForceNumInt ( ) const

inline

Definition at line 181 of file RooAbsReal.h.

getIntegratorConfig() [1/2]

RooNumIntConfig * RooAbsReal::getIntegratorConfig

(

)

Return the numeric integration configuration used for this object.

If a specialized configuration was associated with this object, that configuration is returned, otherwise the default configuration for all RooAbsReals is returned

Definition at line 3575 of file RooAbsReal.cxx.

getIntegratorConfig() [2/2]

const RooNumIntConfig * RooAbsReal::getIntegratorConfig

(

)

const

Return the numeric integration configuration used for this object.

If a specialized configuration was associated with this object, that configuration is returned, otherwise the default configuration for all RooAbsReals is returned

Definition at line 3562 of file RooAbsReal.cxx.

getMaxVal()

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

virtual

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 in RooCBShape, RooCrystalBall, RooKeysPdf, RooFFTConvPdf, RooHistFunc, RooHistPdf, RooLegendre, RooSpHarmonic, RooBinSamplingPdf, and RooWrapperPdf.

Definition at line 3645 of file RooAbsReal.cxx.

getPlotLabel()

const char * RooAbsReal::getPlotLabel

(

)

const

Get the label associated with the variable.

Definition at line 447 of file RooAbsReal.cxx.

getPropagatedError()

Double_t RooAbsReal::getPropagatedError	(	const RooFitResult &	fr,
		const RooArgSet &	nset_in = RooArgSet()
	)		const

Calculate error on self by linearly propagating errors on parameters using the covariance matrix from a fit result.

The error is calculated as follows

\[ \mathrm{error}^2(x) = F_\mathbf{a}(x) \cdot \mathrm{Cov}(\mathbf{a},\mathbf{a}') \cdot F_{\mathbf{a}'}^{\mathrm{T}}(x) \]

where \( F_mathbf{a}(x) = \frac{ f(x, mathbf{a} + \mathrm{d}mathbf{a}) - f(x, mathbf{a} - \mathrm{d}mathbf{a}) }{2} \), with \( f(x) = \) this and \( \mathrm{d}mathbf{a} \) the vector of one-sigma uncertainties of all fit parameters taken from the fit result and \( \mathrm{Cov}(mathbf{a},mathbf{a}') \) = the covariance matrix from the fit result.

Definition at line 2691 of file RooAbsReal.cxx.

getTitle()

TString RooAbsReal::getTitle

(

Bool_t

appendUnit = kFALSE

)

const

Return this variable's title string.

If appendUnit is true and this variable has units, also append a string " (<unit>)".

Definition at line 258 of file RooAbsReal.cxx.

getUnit()

const Text_t * RooAbsReal::getUnit ( ) const

inline

Definition at line 150 of file RooAbsReal.h.

getVal() [1/2]

Double_t RooAbsReal::getVal ( const RooArgSet &  normalisationSet ) const

inline

Like getVal(const RooArgSet*), but always requires an argument for normalisation.

Definition at line 117 of file RooAbsReal.h.

getVal() [2/2]

Double_t RooAbsReal::getVal ( const RooArgSet *  normalisationSet = nullptr ) const

inline

Evaluate object.

Returns either cached value or triggers a recalculation. The recalculation happens by calling getValV(), which in the end calls the virtual evaluate() functions of the respective PDFs.

Parameters

[in]

normalisationSet

getValV() reacts differently depending on the value of the normalisation set. If the set is nullptr, an unnormalised value is returned.

Note

The normalisation is arbitrary, because it is up to the implementation of the PDF to e.g. leave out normalisation constants for speed reasons. The range of the variables is also ignored.

To normalise the result properly, a RooArgSet has to be passed, which contains the variables to normalise over. These are integrated over their current ranges to compute the normalisation constant, and the unnormalised result is divided by this value.

Definition at line 94 of file RooAbsReal.h.

getValBatch()

virtual RooSpan< const double > RooAbsReal::getValBatch ( std::size_t  , std::size_t  , const RooArgSet *  = nullptr  )

virtualdelete

Deprecated:

getValBatch() has been removed in favour of the faster getValues(). If your code is affected by this change, please consult the release notes for ROOT 6.24 for guidance on how to make this transition. https://root.cern/doc/v624/release-notes.html

getValues() [1/2]

std::vector< double > RooAbsReal::getValues	(	RooAbsData const &	data,
		RooFit::BatchModeOption	batchMode = RooFit::BatchModeOption::Cpu
	)		const

Definition at line 335 of file RooAbsReal.cxx.

getValues() [2/2]

RooSpan< const double > RooAbsReal::getValues ( RooBatchCompute::RunContext &  evalData, const RooArgSet *  normSet = nullptr  ) const

virtual

Compute batch of values for input data stored in evalData.

Deprecated:

getValBatch() has been removed in favour of the faster getValues(). If your code is affected by this change, please consult the release notes for ROOT 6.24 for guidance on how to make this transition. https://root.cern/doc/v624/release-notes.html

This is a faster, multi-value version of getVal(). It calls evaluateSpan() to trigger computations, and finalises those (e.g. error checking or automatic normalisation) before returning a span with the results. This span will also be stored in evalData, so subsquent calls of getValues() will return immediately.

If evalData is empty, a single value will be returned, which is the result of evaluating the current value of each object that's serving values to us. If evalData contains a batch of values for one or more of the objects serving values to us, a batch of values for each entry stored in evalData is returned. To fill a RunContext with values from a dataset, use RooAbsData::getBatches().

Parameters

[in]	evalData	Object holding spans of input data. The results are also stored here.
[in]	normSet	Use these variables for normalisation (relevant for PDFs), and pass this normalisation on to object serving values to us.

Returns

RooSpan pointing to the computation results. The memory this span points to is owned by evalData.

Reimplemented in RooConstVar, RooAbsPdf, RooAbsPdf, and RooRealVar.

Definition at line 312 of file RooAbsReal.cxx.

getValV()

Double_t RooAbsReal::getValV ( const RooArgSet *  nset = nullptr ) const

virtual

Return value of object.

If the cache is clean, return the cached value, otherwise recalculate on the fly and refill the cache

Reimplemented in RooConstVar, RooNormalizedPdf, RooAbsHiddenReal, RooConvCoefVar, RooRealMPFE, RooRealVar, RooResolutionModel, RooAbsCachedReal, RooAbsPdf, RooErrorVar, RooRealIntegral, RooAbsCachedPdf, and RooAddPdf.

Definition at line 276 of file RooAbsReal.cxx.

globalSelectComp()

void RooAbsReal::globalSelectComp ( Bool_t  flag )

staticprotected

Global switch controlling the activation of the selectComp() functionality.

Definition at line 3185 of file RooAbsReal.cxx.

hideOffset()

Bool_t RooAbsReal::hideOffset ( )

static

Definition at line 123 of file RooAbsReal.cxx.

iGenFunction() [1/2]

RooMultiGenFunction * RooAbsReal::iGenFunction	(	const RooArgSet &	observables,
		const RooArgSet &	nset = RooArgSet()
	)

Definition at line 4349 of file RooAbsReal.cxx.

iGenFunction() [2/2]

RooGenFunction * RooAbsReal::iGenFunction	(	RooRealVar &	x,
		const RooArgSet &	nset = RooArgSet()
	)

Definition at line 4340 of file RooAbsReal.cxx.

integralNameSuffix()

TString RooAbsReal::integralNameSuffix ( const RooArgSet &  iset, const RooArgSet *  nset = 0, const char *  rangeName = 0, Bool_t  omitEmpty = kFALSE  ) const

protected

Construct string with unique suffix name to give to integral object that encodes integrated observables, normalization observables and the integration range name.

Definition at line 798 of file RooAbsReal.cxx.

isBinnedDistribution()

virtual Bool_t RooAbsReal::isBinnedDistribution ( const RooArgSet &  ) const

inlinevirtual

Tests if the distribution is binned. Unless overridden by derived classes, this always returns false.

Reimplemented in RooParamHistFunc, RooHistFunc, RooHistPdf, RooBinSamplingPdf, PiecewiseInterpolation, RooMomentMorphFunc, RooAddition, RooProdPdf, RooProduct, RooRealSumFunc, RooRealSumPdf, ParamHistFunc, RooLagrangianMorphFunc, RooAddPdf, RooBinWidthFunction, and RooWrapperPdf.

Definition at line 345 of file RooAbsReal.h.

isIdentical()

Bool_t RooAbsReal::isIdentical ( const RooAbsArg &  other, Bool_t  assumeSameType = kFALSE  ) const

virtual

Implements RooAbsArg.

Definition at line 243 of file RooAbsReal.cxx.

isOffsetting()

virtual Bool_t RooAbsReal::isOffsetting ( ) const

inlinevirtual

Reimplemented in RooAbsTestStatistic.

Definition at line 372 of file RooAbsReal.h.

isSelectedComp()

Bool_t RooAbsReal::isSelectedComp ( ) const

protected

If true, the current pdf is a selected component (for use in plotting)

Definition at line 3175 of file RooAbsReal.cxx.

isValid()

virtual bool RooAbsReal::isValid ( ) const

inlineprotectedvirtual

Check if current value is valid.

Reimplemented from RooAbsArg.

Reimplemented in RooRealIntegral.

Definition at line 430 of file RooAbsReal.h.

isValidReal()

virtual bool RooAbsReal::isValidReal ( double  , bool  printError = false  ) const

inlineprotectedvirtual

Interface function to check if given value is a valid value for this object. Returns true unless overridden.

Reimplemented in RooGenericPdf, RooAbsRealLValue, RooRealIntegral, and RooFormulaVar.

Definition at line 432 of file RooAbsReal.h.

logEvalError() [1/2]

void RooAbsReal::logEvalError	(	const char *	message,
		const char *	serverValueString = 0
	)		const

Log evaluation error message.

Evaluation errors may be routed through a different protocol than generic RooFit warning message (which go straight through RooMsgService) because evaluation errors can occur in very large numbers in the use of likelihood evaluations. In logEvalError mode, controlled by global method enableEvalErrorLogging() messages reported through this function are not printed but all stored in a list, along with server values at the time of reporting. Error messages logged in this way can be printed in a structured way, eliminating duplicates and with the ability to truncate the list by printEvalErrors. This is the standard mode of error logging during MINUIT operations. If enableEvalErrorLogging() is false, all errors reported through this method are passed for immediate printing through RooMsgService. A string with server names and values is constructed automatically for error logging purposes, unless a custom string with similar information is passed as argument.

Definition at line 3722 of file RooAbsReal.cxx.

logEvalError() [2/2]

void RooAbsReal::logEvalError ( const RooAbsReal *  originator, const char *  origName, const char *  message, const char *  serverValueString = 0  )

static

Interface to insert remote error logging messages received by RooRealMPFE into current error loggin stream.

Definition at line 3667 of file RooAbsReal.cxx.

makeProjectionSet()

void RooAbsReal::makeProjectionSet ( const RooAbsArg *  plotVar, const RooArgSet *  allVars, RooArgSet &  projectedVars, Bool_t  silent  ) const

protected

Utility function for plotOn() that constructs the set of observables to project when plotting ourselves as function of 'plotVar'.

'allVars' is the list of variables that must be projected, but may contain variables that we do not depend on. If 'silent' is cleared, warnings about inconsistent input parameters will be printed.

Definition at line 3115 of file RooAbsReal.cxx.

matchArgs() [1/5]

Bool_t RooAbsReal::matchArgs ( const RooArgSet &  allDeps, RooArgSet &  analDeps, const RooArgProxy &  a  ) const

protected

Utility function for use in getAnalyticalIntegral().

If the content of proxy 'a' occurs in set 'allDeps' then the argument held in 'a' is copied from allDeps to analDeps

Definition at line 3394 of file RooAbsReal.cxx.

matchArgs() [2/5]

Bool_t RooAbsReal::matchArgs ( const RooArgSet &  allDeps, RooArgSet &  analDeps, const RooArgProxy &  a, const RooArgProxy &  b  ) const

protected

Utility function for use in getAnalyticalIntegral().

If the contents of proxies a,b occur in set 'allDeps' then the arguments held in a,b are copied from allDeps to analDeps

Definition at line 3411 of file RooAbsReal.cxx.

matchArgs() [3/5]

Bool_t RooAbsReal::matchArgs ( const RooArgSet &  allDeps, RooArgSet &  analDeps, const RooArgProxy &  a, const RooArgProxy &  b, const RooArgProxy &  c  ) const

protected

Utility function for use in getAnalyticalIntegral().

If the contents of proxies a,b,c occur in set 'allDeps' then the arguments held in a,b,c are copied from allDeps to analDeps

Definition at line 3429 of file RooAbsReal.cxx.

matchArgs() [4/5]

Bool_t RooAbsReal::matchArgs ( const RooArgSet &  allDeps, RooArgSet &  analDeps, const RooArgProxy &  a, const RooArgProxy &  b, const RooArgProxy &  c, const RooArgProxy &  d  ) const

protected

Utility function for use in getAnalyticalIntegral().

If the contents of proxies a,b,c,d occur in set 'allDeps' then the arguments held in a,b,c,d are copied from allDeps to analDeps

Definition at line 3449 of file RooAbsReal.cxx.

matchArgs() [5/5]

Bool_t RooAbsReal::matchArgs ( const RooArgSet &  allDeps, RooArgSet &  analDeps, const RooArgSet &  refset  ) const

protected

Utility function for use in getAnalyticalIntegral().

If the contents of 'refset' occur in set 'allDeps' then the arguments held in 'refset' are copied from allDeps to analDeps.

Definition at line 3469 of file RooAbsReal.cxx.

matchArgsByName()

Bool_t RooAbsReal::matchArgsByName ( const RooArgSet &  allArgs, RooArgSet &  matchedArgs, const TList &  nameList  ) const

private

Check if allArgs contains matching elements for each name in nameList.

If it does, add the corresponding args from allArgs to matchedArgs and return kTRUE. Otherwise return kFALSE and do not change matchedArgs.

Definition at line 3492 of file RooAbsReal.cxx.

maxVal()

Double_t RooAbsReal::maxVal ( Int_t  code ) const

virtual

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

Reimplemented in RooCBShape, RooCrystalBall, RooKeysPdf, RooFFTConvPdf, RooHistFunc, RooHistPdf, RooLegendre, RooSpHarmonic, RooBinSamplingPdf, and RooWrapperPdf.

Definition at line 3656 of file RooAbsReal.cxx.

mean() [1/2]

RooAbsMoment * RooAbsReal::mean ( RooRealVar &  obs )

inline

Definition at line 361 of file RooAbsReal.h.

mean() [2/2]

RooAbsMoment * RooAbsReal::mean ( RooRealVar &  obs, const RooArgSet &  nset  )

inline

Definition at line 362 of file RooAbsReal.h.

minTrialSamples()

virtual Int_t RooAbsReal::minTrialSamples ( const RooArgSet &  ) const

inlinevirtual

Reimplemented in RooBinSamplingPdf, and RooWrapperPdf.

Definition at line 249 of file RooAbsReal.h.

moment() [1/2]

RooAbsMoment * RooAbsReal::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.

Parameters

[in]	obs	Observable to calculate the moments for
[in]	normObs	Normalise w.r.t. these observables
[in]	order	Order of the moment
[in]	central	If true, the central moment is given by \( \langle (x- \langle x \rangle )^2 \rangle \)
[in]	takeRoot	Calculate the square root
[in]	intNormObs	If true, the moment of the function integrated over all normalization observables is returned.

Definition at line 4311 of file RooAbsReal.cxx.

moment() [2/2]

RooAbsMoment * RooAbsReal::moment	(	RooRealVar &	obs,
		Int_t	order,
		Bool_t	central,
		Bool_t	takeRoot
	)

Return function representing moment of function of given order.

Parameters

[in]	obs	Observable to calculate the moments for
[in]	order	Order of the moment
[in]	central	If true, the central moment is given by \( \langle (x- \langle x \rangle )^2 \rangle \)
[in]	takeRoot	Calculate the square root

Definition at line 4292 of file RooAbsReal.cxx.

numEvalErrorItems()

Int_t RooAbsReal::numEvalErrorItems ( )

static

Definition at line 343 of file RooAbsReal.cxx.

numEvalErrors()

Int_t RooAbsReal::numEvalErrors ( )

static

Return the number of logged evaluation errors since the last clearing.

Definition at line 3881 of file RooAbsReal.cxx.

offset()

virtual Double_t RooAbsReal::offset ( ) const

inlinevirtual

Reimplemented in RooAbsTestStatistic.

Definition at line 373 of file RooAbsReal.h.

operator=()

RooAbsReal & RooAbsReal::operator=

(

const RooAbsReal &

other

)

Assign values, name and configs from another RooAbsReal.

Definition at line 186 of file RooAbsReal.cxx.

operator==() [1/2]

Bool_t RooAbsReal::operator== ( const RooAbsArg &  other ) const

virtual

Equality operator when comparing to another RooAbsArg.

Only functional when the other arg is a RooAbsReal

Implements RooAbsArg.

Definition at line 234 of file RooAbsReal.cxx.

operator==() [2/2]

Bool_t RooAbsReal::operator==

(

Double_t

value

)

const

Equality operator comparing to a Double_t.

Definition at line 223 of file RooAbsReal.cxx.

plotAsymOn()

RooPlot * RooAbsReal::plotAsymOn ( RooPlot *  frame, const RooAbsCategoryLValue &  asymCat, PlotOpt  o  ) const

protectedvirtual

Definition at line 2394 of file RooAbsReal.cxx.

plotOn() [1/3]

RooAbsReal::plotOn ( RooPlot *  frame, const RooCmdArg &  arg1 = RooCmdArg(), const RooCmdArg &  arg2 = RooCmdArg(), const RooCmdArg &  arg3 = RooCmdArg(), const RooCmdArg &  arg4 = RooCmdArg(), const RooCmdArg &  arg5 = RooCmdArg(), const RooCmdArg &  arg6 = RooCmdArg(), const RooCmdArg &  arg7 = RooCmdArg(), const RooCmdArg &  arg8 = RooCmdArg(), const RooCmdArg &  arg9 = RooCmdArg(), const RooCmdArg &  arg10 = RooCmdArg()  ) const

virtual

Plot (project) PDF on specified frame.

If a PDF is plotted in an empty frame, it will show a unit normalized curve in the frame variable, taken at the present value of other observables defined for this PDF.

If a PDF is plotted in a frame in which a dataset has already been plotted, it will show a projected curve integrated over all variables that were present in the shown dataset except for the one on the x-axis. The normalization of the curve will also be adjusted to the event count of the plotted dataset. An informational message will be printed for each projection step that is performed.

This function takes the following named arguments

	Projection control
Slice(const RooArgSet& set)	Override default projection behaviour by omitting observables listed in set from the projection, i.e. by not integrating over these. Slicing is usually only sensible in discrete observables, by e.g. creating a slice of the PDF at the current value of the category observable.
Slice(RooCategory& cat, const char* label)	Override default projection behaviour by omitting the specified category observable from the projection, i.e., by not integrating over all states of this category. The slice is positioned at the given label value. To pass multiple Slice() commands, please use the Slice(std::map<RooCategory*, std::string> const&) argument explained below.
Slice(std::map<RooCategory*, std::string> const&)	Omits multiple categories from the projection, as explianed above. Can be used with initializer lists for convenience, e.g. pdf.plotOn(frame, Slice({{&tagCategory, "2tag"}, {&jetCategory, "3jet"}});
Project(const RooArgSet& set)	Override default projection behaviour by projecting over observables given in the set, ignoring the default projection behavior. Advanced use only.
ProjWData(const RooAbsData& d)	Override default projection technique (integration). For observables present in given dataset projection of PDF is achieved by constructing an average over all observable values in given set. Consult RooFit plotting tutorial for further explanation of meaning & use of this technique
ProjWData(const RooArgSet& s, const RooAbsData& d)	As above but only consider subset 's' of observables in dataset 'd' for projection through data averaging
ProjectionRange(const char* rn)	Override default range of projection integrals to a different range speficied by given range name. This technique allows you to project a finite width slice in a real-valued observable
NumCPU(Int_t ncpu)	Number of CPUs to use simultaneously to calculate data-weighted projections (only in combination with ProjWData)
	Misc content control
PrintEvalErrors(Int_t numErr)	Control number of p.d.f evaluation errors printed per curve. A negative value suppress output completely, a zero value will only print the error count per p.d.f component, a positive value is will print details of each error up to numErr messages per p.d.f component.
EvalErrorValue(Double_t value)	Set curve points at which (pdf) evaluation errors occur to specified value. By default the function value is plotted.
Normalization(Double_t scale, ScaleType code)	Adjust normalization by given scale factor. Interpretation of number depends on code: Relative: relative adjustment factor for a normalized function, NumEvent: scale to match given number of events. Raw: relative adjustment factor for an un-normalized function.
Name(const chat* name)	Give curve specified name in frame. Useful if curve is to be referenced later
Asymmetry(const RooCategory& c)	Show the asymmetry of the PDF in given two-state category [F(+)-F(-)] / [F(+)+F(-)] rather than the PDF projection. Category must have two states with indices -1 and +1 or three states with indeces -1,0 and +1.
ShiftToZero(Bool_t flag)	Shift entire curve such that lowest visible point is at exactly zero. Mostly useful when plotting \( -\log(L) \) or \( \chi^2 \) distributions
AddTo(const char* name, double_t wgtSelf, double_t wgtOther)	Add constructed projection to already existing curve with given name and relative weight factors
Components(const char* names)	When plotting sums of PDFs, plot only the named components (e.g. only the signal of a signal+background model).
Components(const RooArgSet& compSet)	As above, but pass a RooArgSet of the components themselves.
	Plotting control
DrawOption(const char* opt)	Select ROOT draw option for resulting TGraph object. Currently supported options are "F" (fill), "L" (line), and "P" (points). Note Option "P" will cause RooFit to plot (and treat) this pdf as if it were data! This is intended for plotting "corrected data"-type pdfs such as "data-minus-background" or unfolded datasets.
LineStyle(Int_t style)	Select line style by ROOT line style code, default is solid
LineColor(Int_t color)	Select line color by ROOT color code, default is blue
LineWidth(Int_t width)	Select line with in pixels, default is 3
MarkerStyle(Int_t style)	Select the ROOT marker style, default is 21
MarkerColor(Int_t color)	Select the ROOT marker color, default is black
MarkerSize(Double_t size)	Select the ROOT marker size
FillStyle(Int_t style)	Select fill style, default is not filled. If a filled style is selected, also use VLines() to add vertical downward lines at end of curve to ensure proper closure. Add DrawOption("F") for filled drawing.
FillColor(Int_t color)	Select fill color by ROOT color code
Range(const char* name)	Only draw curve in range defined by given name
Range(double lo, double hi)	Only draw curve in specified range
VLines()	Add vertical lines to y=0 at end points of curve
Precision(Double_t eps)	Control precision of drawn curve w.r.t to scale of plot, default is 1e-3. Higher precision will result in more and more densely spaced curve points
Invisible(Bool_t flag)	Add curve to frame, but do not display. Useful in combination AddTo()
VisualizeError(const RooFitResult& fitres, Double_t Z=1, Bool_t linearMethod=kTRUE)	Visualize the uncertainty on the parameters, as given in fitres, at 'Z' sigma'. The linear method is fast but may not be accurate in the presence of strong correlations (~>0.9) and at Z>2 due to linear and Gaussian approximations made. Intervals from the sampling method can be asymmetric, and may perform better in the presence of strong correlations, but may take (much) longer to calculate
VisualizeError(const RooFitResult& fitres, const RooArgSet& param, Double_t Z=1, Bool_t linearMethod=kTRUE)	Visualize the uncertainty on the subset of parameters 'param', as given in fitres, at 'Z' sigma'

Details on error band visualization

VisualizeError() uses plotOnWithErrorBand(). Documentation of the latter:

Parameters

[in]	frame	RooPlot to plot on
[in]	fr	The RooFitResult, where errors can be extracted
[in]	Z	The desired significance (width) of the error band
[in]	params	If non-zero, consider only the subset of the parameters in fr for the error evaluation
[in]	argList	Optional RooCmdArg that can be applied to a regular plotOn() operation
[in]	linMethod	By default (linMethod=kTRUE), a linearized error is shown.

Returns

The RooPlot the band was plotted on (for chaining of plotting commands).

The linearized error is calculated as follows:

\[ \mathrm{error}(x) = Z * F_a(x) * \mathrm{Corr}(a,a') * F_{a'}^\mathrm{T}(x), \]

where

\[ F_a(x) = \frac{ f(x,a+\mathrm{d}a) - f(x,a-\mathrm{d}a) }{2}, \]

with \( f(x) \) the plotted curve and \( \mathrm{d}a \) taken from the fit result, and \( \mathrm{Corr}(a,a') \) = the correlation matrix from the fit result, and \( Z \) = requested signifance ( \( Z \sigma \) band)

The linear method is fast (required 2*N evaluations of the curve, where N is the number of parameters), but may not be accurate in the presence of strong correlations (~>0.9) and at Z>2 due to linear and Gaussian approximations made

Alternatively, a more robust error is calculated using a sampling method. In this method a number of curves is calculated with variations of the parameter values, as drawn from a multi-variate Gaussian p.d.f. that is constructed from the fit results covariance matrix. The error(x) is determined by calculating a central interval that capture N% of the variations for each valye of x, where N% is controlled by Z (i.e. Z=1 gives N=68%). The number of sampling curves is chosen to be such that at least 30 curves are expected to be outside the N% interval, and is minimally 100 (e.g. Z=1->Ncurve=100, Z=2->Ncurve=659, Z=3->Ncurve=11111) Intervals from the sampling method can be asymmetric, and may perform better in the presence of strong correlations, but may take (much) longer to calculate.

PyROOT

The RooAbsReal::plotOn() function is pythonized with the command argument pythonization. The keywords must correspond to the CmdArgs of the function.

Reimplemented in RooSimultaneous, RooAbsPdf, and RooSimultaneous.

Definition at line 1698 of file RooAbsReal.cxx.

plotOn() [2/3]

RooPlot * RooAbsReal::plotOn ( RooPlot *  frame, PlotOpt  o  ) const

protectedvirtual

Plotting engine function for internal use.

Plot ourselves on given frame. If frame contains a histogram, all dimensions of the plotted function that occur in the previously plotted dataset are projected via partial integration, otherwise no projections are performed. Optionally, certain projections can be performed by summing over the values present in a provided dataset ('projData'), to correctly project out data dependents that are not properly described by the PDF (e.g. per-event errors).

The functions value can be multiplied with an optional scale factor. The interpretation of the scale factor is unique for generic real functions, for PDFs there are various interpretations possible, which can be selection with 'stype' (see RooAbsPdf::plotOn() for details).

The default projection behaviour can be overriden by supplying an optional set of dependents to project. For most cases, plotSliceOn() and plotProjOn() provide a more intuitive interface to modify the default projection behaviour.

Reimplemented in RooAbsPdf, and RooSimultaneous.

Definition at line 1992 of file RooAbsReal.cxx.

plotOn() [3/3]

RooPlot * RooAbsReal::plotOn ( RooPlot *  frame, RooLinkedList &  cmdList  ) const

virtual

Internal back-end function of plotOn() with named arguments.

Reimplemented in RooAbsPdf, RooSimultaneous, and RooSimultaneous.

Definition at line 1718 of file RooAbsReal.cxx.

plotOnCompSelect()

void RooAbsReal::plotOnCompSelect ( RooArgSet *  selNodes ) const

protected

Helper function for plotting of composite p.d.fs.

Given a set of selected components that should be plotted, find all nodes that (in)directly depend on these selected nodes. Mark all directly and indirecty selected nodes as 'selected' using the selectComp() method

Definition at line 1528 of file RooAbsReal.cxx.

plotOnWithErrorBand()

RooPlot * RooAbsReal::plotOnWithErrorBand ( RooPlot *  frame, const RooFitResult &  fr, Double_t  Z, const RooArgSet *  params, const RooLinkedList &  argList, Bool_t  linMethod  ) const

protected

Plot function or PDF on frame with support for visualization of the uncertainty encoded in the given fit result fr.

Parameters

[in]	frame	RooPlot to plot on
[in]	fr	The RooFitResult, where errors can be extracted
[in]	Z	The desired significance (width) of the error band
[in]	params	If non-zero, consider only the subset of the parameters in fr for the error evaluation
[in]	argList	Optional RooCmdArg that can be applied to a regular plotOn() operation
[in]	linMethod	By default (linMethod=kTRUE), a linearized error is shown.

Returns

The RooPlot the band was plotted on (for chaining of plotting commands).

The linearized error is calculated as follows:

\[ \mathrm{error}(x) = Z * F_a(x) * \mathrm{Corr}(a,a') * F_{a'}^\mathrm{T}(x), \]

where

\[ F_a(x) = \frac{ f(x,a+\mathrm{d}a) - f(x,a-\mathrm{d}a) }{2}, \]

with \( f(x) \) the plotted curve and \( \mathrm{d}a \) taken from the fit result, and \( \mathrm{Corr}(a,a') \) = the correlation matrix from the fit result, and \( Z \) = requested signifance ( \( Z \sigma \) band)

The linear method is fast (required 2*N evaluations of the curve, where N is the number of parameters), but may not be accurate in the presence of strong correlations (~>0.9) and at Z>2 due to linear and Gaussian approximations made

Alternatively, a more robust error is calculated using a sampling method. In this method a number of curves is calculated with variations of the parameter values, as drawn from a multi-variate Gaussian p.d.f. that is constructed from the fit results covariance matrix. The error(x) is determined by calculating a central interval that capture N% of the variations for each valye of x, where N% is controlled by Z (i.e. Z=1 gives N=68%). The number of sampling curves is chosen to be such that at least 30 curves are expected to be outside the N% interval, and is minimally 100 (e.g. Z=1->Ncurve=100, Z=2->Ncurve=659, Z=3->Ncurve=11111) Intervals from the sampling method can be asymmetric, and may perform better in the presence of strong correlations, but may take (much) longer to calculate.

Definition at line 2817 of file RooAbsReal.cxx.

plotSamplingHint()

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

virtual

Interface for returning an optional hint for initial sampling points when constructing a curve projected on observable obs.

Parameters

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

Returns

The caller owns the returned list.

Reimplemented in RooLagrangianMorphFunc, RooAddition, RooFormulaVar, RooProduct, RooRealSumFunc, RooRealSumPdf, RooBinSamplingPdf, PiecewiseInterpolation, RooMomentMorphFunc, RooParamHistFunc, RooHistFunc, RooHistPdf, RooProdPdf, RooRangeBoolean, RooRealIntegral, ParamHistFunc, RooAddPdf, RooBinWidthFunction, RooLinearCombination, and RooWrapperPdf.

Definition at line 3828 of file RooAbsReal.cxx.

plotSanityChecks()

Bool_t RooAbsReal::plotSanityChecks ( RooPlot *  frame ) const

protected

Utility function for plotOn(), perform general sanity check on frame to ensure safe plotting operations.

Definition at line 3072 of file RooAbsReal.cxx.

plotSliceOn()

RooPlot * RooAbsReal::plotSliceOn ( RooPlot *  frame, const RooArgSet &  sliceSet, Option_t *  drawOptions = "L", Double_t  scaleFactor = 1.0, ScaleType  stype = Relative, const RooAbsData *  projData = 0  ) const

virtual

Deprecated:

OBSOLETE – RETAINED FOR BACKWARD COMPATIBILITY. Use plotOn() with Slice() instead

Definition at line 2360 of file RooAbsReal.cxx.

preferredObservableScanOrder()

void RooAbsReal::preferredObservableScanOrder ( const RooArgSet &  obs, RooArgSet &  orderedObs  ) const

virtual

Interface method for function objects to indicate their preferred order of observables for scanning their values into a (multi-dimensional) histogram or RooDataSet.

The observables to be ordered are offered in argument 'obs' and should be copied in their preferred order into argument 'orderdObs', This default implementation indicates no preference and copies the original order of 'obs' into 'orderedObs'

Reimplemented in RooIntegralMorph, and RooCachedPdf.

Definition at line 3961 of file RooAbsReal.cxx.

printEvalErrors()

void RooAbsReal::printEvalErrors ( std::ostream &  os = std::cout, Int_t  maxPerNode = 10000000  )

static

Print all outstanding logged evaluation error on the given ostream.

If maxPerNode is zero, only the number of errors for each source (object with unique name) is listed. If maxPerNode is greater than zero, up to maxPerNode detailed error messages are shown per source of errors. A truncation message is shown if there were more errors logged than shown.

Definition at line 3839 of file RooAbsReal.cxx.

printMultiline()

void RooAbsReal::printMultiline ( std::ostream &  os, Int_t  contents, Bool_t  verbose = kFALSE, TString  indent = ""  ) const

virtual

Structure printing.

Reimplemented from RooAbsArg.

Reimplemented in RooGenericPdf, RooResolutionModel, RooStats::HistFactory::FlexibleInterpVar, RooAbsPdf, RooAbsRealLValue, RooFormulaVar, RooRealIntegral, RooRealVar, and RooAbsAnaConvPdf.

Definition at line 496 of file RooAbsReal.cxx.

printValue()

void RooAbsReal::printValue ( std::ostream &  os ) const

virtual

Print object value.

Reimplemented from RooPrintable.

Reimplemented in RooAbsPdf, RooRealVar, and RooAbsHiddenReal.

Definition at line 486 of file RooAbsReal.cxx.

readFromStream()

Bool_t RooAbsReal::readFromStream ( std::istream &  is, Bool_t  compact, Bool_t  verbose = kFALSE  )

virtual

Read object contents from stream (dummy for now)

Implements RooAbsArg.

Reimplemented in RooAbsHiddenReal, RooAbsRealLValue, RooErrorVar, RooFormulaVar, RooGenericPdf, RooLinearVar, and RooRealVar.

Definition at line 467 of file RooAbsReal.cxx.

selectComp()

void RooAbsReal::selectComp ( Bool_t  flag )

inlineprotected

Definition at line 560 of file RooAbsReal.h.

selectNormalization()

void RooAbsReal::selectNormalization ( const RooArgSet *  depSet = 0, Bool_t  force = kFALSE  )

protectedvirtual

Interface function to force use of a given set of observables to interpret function value.

Needed for functions or p.d.f.s whose shape depends on the choice of normalization such as RooAddPdf

Reimplemented in RooAddPdf, RooAddModel, and RooSimultaneous.

Definition at line 3619 of file RooAbsReal.cxx.

selectNormalizationRange()

void RooAbsReal::selectNormalizationRange ( const char *  rangeName = 0, Bool_t  force = kFALSE  )

protectedvirtual

Interface function to force use of a given normalization range to interpret function value.

Needed for functions or p.d.f.s whose shape depends on the choice of normalization such as RooAddPdf

Reimplemented in RooAddPdf, RooBernstein, RooChebychev, RooAddModel, RooProdPdf, and RooSimultaneous.

Definition at line 3632 of file RooAbsReal.cxx.

setCachedValue()

void RooAbsReal::setCachedValue ( double  value, bool  notifyClients = true  )

inlinefinalvirtual

Overwrite the value stored in this object's cache.

This can be used to fake a computation that resulted in value.

Parameters

[in]	value	Value to write.
[in]	setValDirty	If true, notify users of this object that its value changed. This is the default.

Reimplemented from RooAbsArg.

Definition at line 608 of file RooAbsReal.h.

setData()

virtual Bool_t RooAbsReal::setData ( RooAbsData &  , Bool_t  = kTRUE  )

inlinevirtual

Reimplemented in RooConstraintSum, RooAbsTestStatistic, and RooAddition.

Definition at line 369 of file RooAbsReal.h.

setEvalErrorLoggingMode()

void RooAbsReal::setEvalErrorLoggingMode ( RooAbsReal::ErrorLoggingMode  m )

static

Set evaluation error logging mode.

Options are

PrintErrors - Print each error through RooMsgService() as it occurs CollectErrors - Accumulate errors, but do not print them. A subsequent call to printEvalErrors() will print a summary CountErrors - Accumulate error count, but do not print them.

Definition at line 4788 of file RooAbsReal.cxx.

setHideOffset()

void RooAbsReal::setHideOffset ( Bool_t  flag )

static

Definition at line 122 of file RooAbsReal.cxx.

setIntegratorConfig() [1/2]

void RooAbsReal::setIntegratorConfig

(

)

Remove the specialized numeric integration configuration associated with this object.

Definition at line 3602 of file RooAbsReal.cxx.

setIntegratorConfig() [2/2]

void RooAbsReal::setIntegratorConfig

(

const RooNumIntConfig &

config

)

Set the given integrator configuration as default numeric integration configuration for this object.

Definition at line 3588 of file RooAbsReal.cxx.

setParameterizeIntegral()

void RooAbsReal::setParameterizeIntegral

(

const RooArgSet &

paramVars

)

Definition at line 4796 of file RooAbsReal.cxx.

setPlotLabel()

void RooAbsReal::setPlotLabel

(

const char *

label

)

Set the label associated with this variable.

Definition at line 457 of file RooAbsReal.cxx.

setTreeBranchStatus()

void RooAbsReal::setTreeBranchStatus ( TTree &  t, Bool_t  active  )

protectedvirtual

(De)Activate associated tree branch

Implements RooAbsArg.

Definition at line 3364 of file RooAbsReal.cxx.

setUnit()

void RooAbsReal::setUnit ( const char *  unit )

inline

Definition at line 154 of file RooAbsReal.h.

sigma() [1/2]

RooAbsMoment * RooAbsReal::sigma ( RooRealVar &  obs )

inline

Definition at line 363 of file RooAbsReal.h.

sigma() [2/2]

RooAbsMoment * RooAbsReal::sigma ( RooRealVar &  obs, const RooArgSet &  nset  )

inline

Definition at line 364 of file RooAbsReal.h.

specialIntegratorConfig() [1/2]

RooNumIntConfig * RooAbsReal::specialIntegratorConfig

(

)

const

Returns the specialized integrator configuration for this RooAbsReal.

If this object has no specialized configuration, a null pointer is returned.

Definition at line 3535 of file RooAbsReal.cxx.

specialIntegratorConfig() [2/2]

RooNumIntConfig * RooAbsReal::specialIntegratorConfig

(

Bool_t

createOnTheFly

)

Returns the specialized integrator configuration for this RooAbsReal.

If this object has no specialized configuration, a null pointer is returned, unless createOnTheFly is kTRUE in which case a clone of the default integrator configuration is created, installed as specialized configuration, and returned

Definition at line 3547 of file RooAbsReal.cxx.

syncCache()

virtual void RooAbsReal::syncCache ( const RooArgSet *  set = 0 )

inlineprotectedvirtual

Implements RooAbsArg.

Reimplemented in RooErrorVar.

Definition at line 473 of file RooAbsReal.h.

traceEval()

Double_t RooAbsReal::traceEval ( const RooArgSet *  set ) const

protected

Calculate current value of object, with error tracing wrapper.

Definition at line 360 of file RooAbsReal.cxx.

writeToStream()

void RooAbsReal::writeToStream ( std::ostream &  os, Bool_t  compact  ) const

virtual

Write object contents to stream (dummy for now)

Implements RooAbsArg.

Reimplemented in RooAbsHiddenReal, RooAbsRealLValue, RooConstVar, RooErrorVar, RooFormulaVar, RooGenericPdf, RooLinearVar, and RooRealVar.

Definition at line 477 of file RooAbsReal.cxx.

Friends And Related Symbol Documentation

BatchInterfaceAccessor

friend class BatchInterfaceAccessor

friend

Definition at line 459 of file RooAbsReal.h.

RooAbsAnaConvPdf

friend class RooAbsAnaConvPdf

friend

Definition at line 490 of file RooAbsReal.h.

RooAbsOptGoodnessOfFit

friend class RooAbsOptGoodnessOfFit

friend

Definition at line 495 of file RooAbsReal.h.

RooAbsPdf

friend class RooAbsPdf

friend

Definition at line 489 of file RooAbsReal.h.

RooAddModel

friend class RooAddModel

friend

Definition at line 559 of file RooAbsReal.h.

RooAddPdf

friend class RooAddPdf

friend

Definition at line 558 of file RooAbsReal.h.

RooDataProjBinding

friend class RooDataProjBinding

friend

Definition at line 494 of file RooAbsReal.h.

RooRealBinding

friend class RooRealBinding

friend

Definition at line 480 of file RooAbsReal.h.

RooRealIntegral

friend class RooRealIntegral

friend

Definition at line 471 of file RooAbsReal.h.

RooRealSumFunc

friend class RooRealSumFunc

friend

Definition at line 557 of file RooAbsReal.h.

RooRealSumPdf

friend class RooRealSumPdf

friend

A buffer for reading values from trees.

Definition at line 556 of file RooAbsReal.h.

RooVectorDataStore

friend class RooVectorDataStore

friend

Definition at line 472 of file RooAbsReal.h.

Member Data Documentation

_evalErrorCount

Int_t RooAbsReal::_evalErrorCount = 0

staticprivate

Definition at line 547 of file RooAbsReal.h.

_evalErrorList

map< const RooAbsArg *, pair< string, list< RooAbsReal::EvalError > > > RooAbsReal::_evalErrorList

staticprivate

Definition at line 546 of file RooAbsReal.h.

_evalErrorMode

RooAbsReal::ErrorLoggingMode RooAbsReal::_evalErrorMode = RooAbsReal::PrintErrors

staticprivate

Definition at line 545 of file RooAbsReal.h.

_forceNumInt

Bool_t RooAbsReal::_forceNumInt

protected

Definition at line 487 of file RooAbsReal.h.

_globalSelectComp

Bool_t RooAbsReal::_globalSelectComp = false

staticprotected

Component selection flag for RooAbsPdf::plotCompOn.

Definition at line 566 of file RooAbsReal.h.

_hideOffset

Bool_t RooAbsReal::_hideOffset = kTRUE

staticprotected

Definition at line 586 of file RooAbsReal.h.

_label

TString RooAbsReal::_label

protected

Definition at line 486 of file RooAbsReal.h.

_lastNSet

RooArgSet* RooAbsReal::_lastNSet

mutableprotected

Definition at line 585 of file RooAbsReal.h.

_plotBins

Int_t RooAbsReal::_plotBins

protected

Definition at line 483 of file RooAbsReal.h.

_plotMax

Double_t RooAbsReal::_plotMax

protected

Definition at line 482 of file RooAbsReal.h.

_plotMin

Double_t RooAbsReal::_plotMin

protected

Definition at line 481 of file RooAbsReal.h.

_selectComp

Bool_t RooAbsReal::_selectComp

protected

Definition at line 565 of file RooAbsReal.h.

_specIntegratorConfig

RooNumIntConfig* RooAbsReal::_specIntegratorConfig

protected

Definition at line 492 of file RooAbsReal.h.

_treeReadBuffer

std::unique_ptr<TreeReadBuffer> RooAbsReal::_treeReadBuffer

private

Definition at line 551 of file RooAbsReal.h.

_unit

TString RooAbsReal::_unit

protected

Definition at line 485 of file RooAbsReal.h.

_value

Double_t RooAbsReal::_value

mutableprotected

Definition at line 484 of file RooAbsReal.h.

Libraries for RooAbsReal:

---

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

• roofit/roofitcore/inc/RooAbsReal.h
• roofit/roofitcore/src/RooAbsReal.cxx
• /home/sftnight/build/workspace/root-makedoc-v626/rootspi/rdoc/v626_TMP/pyzdoc/_roofit.pyzdoc