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 59 of file RooAbsReal.h.

Classes
class	EvalError

class	EvalErrorContext
	Context to temporarily change the error logging mode as long as the context is alive. More...

struct	GlobalSelectComponentRAII

struct	PlotOpt

class	Ref
	A RooAbsReal::Ref can be constructed from a `RooAbsReal&` or a `double` that will be implicitly converted to a RooConstVar&. More...

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 = (1ULL << ( 0 )) , kOverwrite = (1ULL << ( 1 )) , kWriteDelete = (1ULL << ( 2 )) }

enum	EDeprecatedStatusBits { kObjInCanvas = (1ULL << ( 3 )) }

enum	EStatusBits { kCanDelete = (1ULL << ( 0 )) , kMustCleanup = (1ULL << ( 3 )) , kIsReferenced = (1ULL << ( 4 )) , kHasUUID = (1ULL << ( 5 )) , kCannotPick = (1ULL << ( 6 )) , kNoContextMenu = (1ULL << ( 8 )) , kInvalidObject = (1ULL << ( 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 minVal, double maxVal, const char *unit="")
	Constructor with plot range and unit label.

	RooAbsReal (const RooAbsReal &other, const char *name=nullptr)
	Copy constructor.

	~RooAbsReal () override
	Destructor.

virtual double	analyticalIntegral (Int_t code, const char *rangeName=nullptr) const
	Implements the actual analytical integral(s) advertised by getAnalyticalIntegral.

virtual double	analyticalIntegralWN (Int_t code, const RooArgSet normSet, const char rangeName=nullptr) 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 > *	binBoundaries (RooAbsRealLValue &obs, double xlo, double xhi) const
	Retrieve bin boundaries if this distribution is binned in `obs`.

RooFit::OwningPtr< RooAbsFunc >	bindVars (const RooArgSet &vars, const RooArgSet *nset=nullptr, bool clipInvalid=false) const
	Create an interface adaptor f(vars) that binds us to the specified variables (in arbitrary order).

virtual std::string	buildCallToAnalyticIntegral (Int_t code, const char *rangeName, RooFit::Detail::CodeSquashContext &ctx) const
	This function defines the analytical integral translation for the class.

virtual RooFit::OwningPtr< RooFitResult >	chi2FitTo (RooDataHist &data, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
	Perform a \( \chi^2 \) fit to given histogram.

virtual RooFit::OwningPtr< RooFitResult >	chi2FitTo (RooDataHist &data, const RooLinkedList &cmdList)
	Calls RooAbsReal::createChi2(RooDataSet& data, const RooLinkedList& cmdList) and returns fit result.

virtual RooFit::OwningPtr< RooFitResult >	chi2FitTo (RooDataSet &xydata, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
	Perform a 2-D \( \chi^2 \) fit using a series of x and y values stored in the dataset `xydata`.

virtual RooFit::OwningPtr< 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 RooFit::OwningPtr< RooAbsReal >	createChi2 (RooDataHist &data, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
	Create a \( \chi^2 \) variable from a histogram and this function.

virtual RooFit::OwningPtr< RooAbsReal >	createChi2 (RooDataHist &data, const RooLinkedList &cmdList)

virtual RooFit::OwningPtr< RooAbsReal >	createChi2 (RooDataSet &data, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
	Create a \( \chi^2 \) from a series of x and y values stored in a dataset.

virtual RooFit::OwningPtr< 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&)

RooFit::OwningPtr< RooAbsArg >	createFundamental (const char *newname=nullptr) const override
	Create a RooRealVar fundamental object with our properties.

TH1 *	createHistogram (const char *name, const RooAbsRealLValue &xvar, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}) 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 (RooStringView 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.

RooFit::OwningPtr< RooAbsReal >	createIntegral (const RooArgSet &iset, const char *rangeName) const
	Create integral over observables in iset in range named rangeName.

RooFit::OwningPtr< RooAbsReal >	createIntegral (const RooArgSet &iset, const RooArgSet &nset, const char *rangeName=nullptr) const
	Create integral over observables in iset in range named rangeName with integrand normalized over observables in nset.

RooFit::OwningPtr< RooAbsReal >	createIntegral (const RooArgSet &iset, const RooArgSet &nset, const RooNumIntConfig &cfg, const char *rangeName=nullptr) 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 RooFit::OwningPtr< RooAbsReal >	createIntegral (const RooArgSet &iset, const RooArgSet nset=nullptr, const RooNumIntConfig cfg=nullptr, const char *rangeName=nullptr) const
	Create an object that represents the integral of the function over one or more observables listed in iset.

RooFit::OwningPtr< RooAbsReal >	createIntegral (const RooArgSet &iset, const RooCmdArg &arg1, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}) const
	Create an object that represents the integral of the function over one or more observables listed in `iset`.

RooFit::OwningPtr< RooAbsReal >	createIntegral (const RooArgSet &iset, const RooNumIntConfig &cfg, const char *rangeName=nullptr) const
	Create integral over observables in iset in range named rangeName using specified configuration for any numeric integration.

RooFit::OwningPtr< RooAbsReal >	createIntRI (const RooArgSet &iset, const RooArgSet &nset={})
	Utility function for createRunningIntegral.

const RooAbsReal *	createPlotProjection (const RooArgSet &dependentVars, const RooArgSet projectedVars, RooArgSet &cloneSet, const char rangeName=nullptr, const RooArgSet condObs=nullptr) 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 RooFit::OwningPtr< RooAbsReal >	createProfile (const RooArgSet &paramsOfInterest)
	Create a RooProfileLL object that eliminates all nuisance parameters in the present function.

RooFit::OwningPtr< RooAbsReal >	createRunningIntegral (const RooArgSet &iset, const RooArgSet &nset={})
	Calls createRunningIntegral(const RooArgSet&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&)

RooFit::OwningPtr< RooAbsReal >	createRunningIntegral (const RooArgSet &iset, const RooCmdArg &arg1, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
	Create an object that represents the running integral of the function over one or more observables listed in iset, i.e.

RooFit::OwningPtr< 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	defaultErrorLevel () const

RooDerivative *	derivative (RooRealVar &obs, const RooArgSet &normSet, Int_t order, double eps=0.001)
	Return function representing first, second or third order derivative of this function.

RooDerivative *	derivative (RooRealVar &obs, Int_t order=1, double eps=0.001)
	Return function representing first, second or third order derivative of this function.

virtual void	doEval (RooFit::EvalContext &) const
	Base function for computing multiple values of a RooAbsReal.

virtual void	enableOffsetting (bool)

RooDataHist *	fillDataHist (RooDataHist hist, const RooArgSet nset, double scaleFactor, bool correctForBinVolume=false, bool showProgress=false) const
	Fill a RooDataHist with values sampled from this function at the bin centers.

TH1 *	fillHistogram (TH1 hist, const RooArgList &plotVars, double scaleFactor=1, const RooArgSet projectedVars=nullptr, bool scaling=true, const RooArgSet *condObs=nullptr, bool setError=true) const
	Fill the ROOT histogram 'hist' with values sampled from this function at the bin centers.

double	findRoot (RooRealVar &x, double xmin, double xmax, double yval)
	Return value of x (in range xmin,xmax) at which function equals yval.

virtual void	fixAddCoefNormalization (const RooArgSet &addNormSet=RooArgSet(), bool force=true)
	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=nullptr, bool force=true)
	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	forceAnalyticalInt (const RooAbsArg &) const

virtual void	forceNumInt (bool flag=true)

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=nullptr) 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=nullptr) 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	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	getPropagatedError (const RooFitResult &fr, const RooArgSet &nset={}) const
	Propagates parameter uncertainties to an uncertainty estimate for this RooAbsReal.

TString	getTitle (bool appendUnit=false) const
	Return this variable's title string.

const Text_t *	getUnit () const

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

double	getVal (const RooArgSet *normalisationSet=nullptr) const
	Evaluate object.

virtual double	getValV (const RooArgSet *normalisationSet=nullptr) const
	Return value of object.

virtual void	gradient (double *) const

virtual bool	hasGradient () const

TClass *	IsA () const override

virtual bool	isBinnedDistribution (const RooArgSet &) const
	Tests if the distribution is binned. Unless overridden by derived classes, this always returns false.

bool	isIdentical (const RooAbsArg &other, bool assumeSameType=false) const override

virtual bool	isOffsetting () const

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

void	logEvalError (const char message, const char serverValueString=nullptr) const
	Log evaluation error message.

virtual double	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 central, bool takeRoot, bool 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 central, bool takeRoot)
	Return function representing moment of function of given order.

virtual double	offset () const

bool	operator== (const RooAbsArg &other) const override
	Equality operator when comparing to another RooAbsArg.

bool	operator== (double value) const
	Equality operator comparing to a double.

virtual RooPlot *	plotOn (RooPlot *frame, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}, const RooCmdArg &arg9={}, const RooCmdArg &arg10={}) 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 > *	plotSamplingHint (RooAbsRealLValue &obs, double xlo, double 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 scaleFactor=1.0, ScaleType stype=Relative, const RooAbsData *projData=nullptr) 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.

void	printMultiline (std::ostream &os, Int_t contents, bool verbose=false, TString indent="") const override
	Structure printing.

void	printValue (std::ostream &os) const override
	Print object value.

bool	readFromStream (std::istream &is, bool compact, bool verbose=false) override
	Read object contents from stream (dummy for now)

void	selectComp (bool flag)

void	setCachedValue (double value, bool notifyClients=true) final
	Overwrite the value stored in this object's cache.

virtual bool	setData (RooAbsData &, bool=true)

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 createOnTheFly)
	Returns the specialized integrator configuration for this RooAbsReal.

void	Streamer (TBuffer &) override
	Stream an object of class TObject.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

void	writeToStream (std::ostream &os, bool compact) const override
	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=nullptr)
	Copy constructor transfers all boolean and string properties of the original object.

	~RooAbsArg () override
	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	checkObservables (const RooArgSet *nset) const
	Overloadable function in which derived classes can implement consistency checks of the variables.

virtual TObject *	clone (const char *newname=nullptr) const =0

TObject *	Clone (const char *newname=nullptr) const override
	Make a clone of an object using the Streamer facility.

virtual RooAbsArg *	cloneTree (const char *newname=nullptr) const
	Clone tree expression of objects.

Int_t	Compare (const TObject *other) const override
	Utility function used by TCollection::Sort to compare contained TObjects We implement comparison by name, resulting in alphabetical sorting by object name.

virtual std::unique_ptr< RooAbsArg >	compileForNormSet (RooArgSet const &normSet, RooFit::Detail::CompileContext &ctx) const

std::size_t	dataToken () const
	Returns the token for retrieving results in the BatchMode. For internal use only.

Int_t	defaultPrintContents (Option_t *opt) const override
	Define default contents to print.

bool	dependsOn (const RooAbsArg &server, const RooAbsArg *ignoreArg=nullptr, bool valueOnly=false) const
	Test whether we depend on (ie, are served by) the specified object.

bool	dependsOn (const RooAbsCollection &serverList, const RooAbsArg *ignoreArg=nullptr, bool valueOnly=false) const
	Test whether we depend on (ie, are served by) any object in the specified collection.

bool	dependsOn (TNamed const namePtr, const RooAbsArg ignoreArg=nullptr, bool valueOnly=false) const
	Test whether we depend on (ie, are served by) an object with a specific name.

bool	dependsOnValue (const RooAbsArg &server, const RooAbsArg *ignoreArg=nullptr) const
	Check whether this object depends on values served from the object passed as `server`.

bool	dependsOnValue (const RooAbsCollection &serverList, const RooAbsArg *ignoreArg=nullptr) const
	Check whether this object depends on values from an element in the `serverList`.

bool	getAttribute (const Text_t *name) const
	Check if a named attribute is set. By default, all attributes are unset.

RooFit::OwningPtr< 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.

RooFit::OwningPtr< RooArgSet >	getObservables (const RooAbsData &data) const
	Return the observables of this pdf given the observables defined by `data`.

RooFit::OwningPtr< 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).

RooFit::OwningPtr< RooArgSet >	getObservables (const RooArgSet &set, bool valueOnly=true) const
	Given a set of possible observables, return the observables that this PDF depends on.

RooFit::OwningPtr< 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.

RooFit::OwningPtr< RooArgSet >	getParameters (const RooAbsData &data, bool stripDisconnected=true) const
	Return the parameters of this p.d.f when used in conjunction with dataset 'data'.

RooFit::OwningPtr< 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).

RooFit::OwningPtr< RooArgSet >	getParameters (const RooArgSet &observables, bool stripDisconnected=true) const
	Return the parameters of the p.d.f given the provided set of observables.

RooFit::OwningPtr< 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	getTransientAttribute (const Text_t *name) const
	Check if a named attribute is set.

RooFit::OwningPtr< RooArgSet >	getVariables (bool stripDisconnected=true) const
	Return RooArgSet with all variables (tree leaf nodes of expression 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	hasClients () const

bool	hasDataToken () const

virtual bool	hasRange (const char *) const

virtual bool	importWorkspaceHook (RooWorkspace &ws)

virtual bool	inRange (const char *) const

virtual bool	isCategory () const

bool	isConstant () const
	Check if the "Constant" attribute is set.

virtual bool	isDerived () const
	Does value or shape of this arg depend on any other arg?

virtual bool	isReducerNode () const

bool	IsSortable () const override

bool	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	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	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)=delete

bool	overlaps (const RooAbsArg &testArg, bool valueOnly=false) const
	Test if any of the nodes of tree are shared with that of the given tree.

const RooArgSet *	ownedComponents () const

void	Print (Option_t *options=nullptr) const override
	Print the object to the defaultPrintStream().

void	printAddress (std::ostream &os) const override
	Print address of this RooAbsArg.

void	printArgs (std::ostream &os) const override
	Print object arguments, ie its proxies.

void	printClassName (std::ostream &os) const override
	Print object class name.

void	printCompactTree (const char indent="", const char fileName=nullptr, const char namePat=nullptr, RooAbsArg client=nullptr)
	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=nullptr, RooAbsArg *client=nullptr)
	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=nullptr, Int_t nLevel=999)
	Print tree structure of expression tree on given ostream, only branch nodes are printed.

void	printDirty (bool depth=true) const
	Print information about current value dirty state information.

virtual void	printMetaArgs (std::ostream &) const

void	printName (std::ostream &os) const override
	Print object name.

void	printTitle (std::ostream &os) const override
	Print object title.

void	printTree (std::ostream &os, TString indent="") const override
	Print object tree structure.

bool	recursiveCheckObservables (const RooArgSet *nset) const
	Recursively call checkObservables on all nodes in the expression tree.

void	removeStringAttribute (const Text_t *key)
	Delete a string attribute with a given key.

void	resetDataToken ()

void	setAttribute (const Text_t *name, bool value=true)
	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 flag) const

void	SetName (const char *name) override
	Set the name of the TNamed.

void	SetNameTitle (const char name, const char title) override
	Set all the TNamed parameters (name and title).

void	setProhibitServerRedirect (bool 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 value=true)
	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

virtual void	translate (RooFit::Detail::CodeSquashContext &ctx) const
	This function defines a translation for each RooAbsReal based object that can be used to express the class as simple C++ code.

RooWorkspace *	workspace () const

TIterator *	clientIterator () const R__DEPRECATED(6
	Retrieve a client iterator.

TIterator Use	clients () and begin()

TIterator Use	end () or range-based loops.")

TIterator *	valueClientIterator () const R__DEPRECATED(6

TIterator Use	valueClients () and begin()

TIterator Use	end () or range-based loops.")

TIterator *	shapeClientIterator () const R__DEPRECATED(6

TIterator Use	shapeClients () and begin()

TIterator Use	end () or range-based loops.")

TIterator *	serverIterator () const R__DEPRECATED(6

TIterator Use	servers () and begin()

TIterator Use	end () or range-based loops.")

RooFIter	valueClientMIterator () const R__DEPRECATED(6

RooFIter Use	valueClients () and begin()

RooFIter Use	end () or range-based loops.")

RooFIter	shapeClientMIterator () const R__DEPRECATED(6

RooFIter Use	shapeClients () and begin()

RooFIter Use	end () or range-based loops.")

RooFIter	serverMIterator () const R__DEPRECATED(6

RooFIter Use	servers () and begin()

RooFIter Use	end () or range-based loops.")

RooFit::OwningPtr< RooArgSet >	getDependents (const RooArgSet &set) const

RooFit::OwningPtr< RooArgSet >	getDependents (const RooAbsData *set) const

RooFit::OwningPtr< RooArgSet >	getDependents (const RooArgSet *depList) const

bool	dependentOverlaps (const RooAbsData *dset, const RooAbsArg &testArg) const

bool	dependentOverlaps (const RooArgSet *depList, const RooAbsArg &testArg) const

bool	checkDependents (const RooArgSet *nset) const

bool	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	isValueServer (const RooAbsArg &arg) const
	Check if `this` is serving values to `arg`.

bool	isValueServer (const char *name) const
	Check if `this` is serving values to an object with name `name`.

bool	isShapeServer (const RooAbsArg &arg) const
	Check if `this` is serving shape to `arg`.

bool	isShapeServer (const char *name) const
	Check if `this` is serving shape to an object with name `name`.

void	leafNodeServerList (RooAbsCollection list, const RooAbsArg arg=nullptr, bool recurseNonDerived=false) 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=nullptr, bool recurseNonDerived=false) 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=nullptr, bool doBranch=true, bool doLeaf=true, bool valueOnly=false, bool recurseNonDerived=false) const
	Fill supplied list with nodes of the arg tree, following all server links, starting with ourself as top node.

virtual bool	isFundamental () const
	Is this object a fundamental type that can be added to a dataset? Fundamental-type subclasses override this method to return true.

virtual bool	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	redirectServers (const RooAbsCollection &newServerList, bool mustReplaceAll=false, bool nameChange=false, bool isRecursionStep=false)
	Replace all direct servers of this object with the new servers in `newServerList`.

bool	redirectServers (std::unordered_map< RooAbsArg , RooAbsArg > const &replacements)
	Replace some servers of this object.

bool	recursiveRedirectServers (const RooAbsCollection &newServerList, bool mustReplaceAll=false, bool nameChange=false, bool recurseInNewSet=true)
	Recursively replace all servers with the new servers in `newSet`.

virtual void	serverNameChangeHook (const RooAbsArg , const RooAbsArg )

void	addServer (RooAbsArg &server, bool valueProp=true, bool shapeProp=false, 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 valueProp=true, bool shapeProp=false)
	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 valueProp, bool shapeProp)
	Replace 'oldServer' with 'newServer', specifying whether the new server has value or shape server properties.

void	changeServer (RooAbsArg &server, bool valueProp, bool shapeProp)
	Change dirty flag propagation mask for specified server.

void	removeServer (RooAbsArg &server, bool force=false)
	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 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	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	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 doAlsoTrackingOpt=true)
	Interface function signaling a request to perform constant term optimization.

virtual CacheMode	canNodeBeCached () const

virtual void	setCacheAndTrackHints (RooArgSet &)

bool	isShapeDirty () const

bool	isValueDirty () const

bool	isValueDirtyAndClear () const

bool	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 recurseADirty=true)
	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.

void	Clear (Option_t *option="") override
	Set name and title to empty strings ("").

TObject *	Clone (const char *newname="") const override
	Make a clone of an object using the Streamer facility.

Int_t	Compare (const TObject *obj) const override
	Compare two TNamed objects.

void	Copy (TObject &named) const override
	Copy this to obj.

virtual void	FillBuffer (char *&buffer)
	Encode TNamed into output buffer.

const char *	GetName () const override
	Returns name of object.

const char *	GetTitle () const override
	Returns title of object.

ULong_t	Hash () const override
	Return hash value for this object.

TClass *	IsA () const override

Bool_t	IsSortable () const override

void	ls (Option_t *option="") const override
	List TNamed name and title.

TNamed &	operator= (const TNamed &rhs)
	TNamed assignment operator.

void	Print (Option_t *option="") const override
	Print TNamed name and title.

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.

void	Streamer (TBuffer &) override
	Stream an object of class TObject.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

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 with: `gROOT->SetSelectedPad(c1)`.

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=nullptr)
	Execute method on this object with the given parameter string, e.g.

virtual void	Execute (TMethod method, TObjArray params, Int_t *error=nullptr)
	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 (the base implementation is no-op).

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, void vp)
	Only called by placement new when throwing an exception.

void	operator delete[] (void *ptr)
	Operator delete [].

void	operator delete[] (void ptr, void vp)
	Only called by placement new[] when throwing an exception.

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.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

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=nullptr, Int_t option=0, Int_t bufsize=0)
	Write this object to the current directory.

virtual Int_t	Write (const char *name=nullptr, 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'.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Static Public Member Functions
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static void	clearEvalErrorLog ()
	Clear the stack of evaluation error messages.

static const char *	DeclFileName ()

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	hideOffset ()

static void	logEvalError (const RooAbsReal originator, const char origName, const char message, const char serverValueString=nullptr)
	Interface to insert remote error logging messages received by RooRealMPFE into current error logging 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 flag)

Static Public Member Functions inherited from RooAbsArg
static void	setDirtyInhibit (bool flag)
	Control global dirty inhibit mode.

static void	verboseDirty (bool flag)
	Activate verbose messaging related to dirty flag propagation.

Static Public Member Functions inherited from TNamed
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from TObject
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

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 TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

static std::ostream &	defaultPrintStream (std::ostream *os=nullptr)
	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
void	attachToTree (TTree &t, Int_t bufSize=32000) override
	Attach object to a branch of given TTree.

void	attachToVStore (RooVectorDataStore &vstore) override

void	copyCache (const RooAbsArg *source, bool valueOnly=false, bool setValDirty=true) override
	Copy the cached value of another RooAbsArg to our cache.

RooFit::OwningPtr< 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	evaluate () const =0
	Evaluate this PDF / function / constant. Needs to be overridden by all derived classes.

void	fillTreeBranch (TTree &t) override
	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=nullptr, const char rangeName=nullptr, bool omitEmpty=false) const
	Construct string with unique suffix name to give to integral object that encodes integrated observables, normalization observables and the integration range name.

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

bool	matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a) const
	Utility function for use in getAnalyticalIntegral().

bool	matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a, const RooArgProxy &b) const
	Utility function for use in getAnalyticalIntegral().

bool	matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a, const RooArgProxy &b, const RooArgProxy &c) const
	Utility function for use in getAnalyticalIntegral().

bool	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	matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgSet &set) const
	Utility function for use in getAnalyticalIntegral().

bool	matchArgsByName (const RooArgSet &allArgs, RooArgSet &matchedArgs, const TList &nameList) const
	Check if allArgs contains matching elements for each name in nameList.

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 Z, const RooArgSet params, const RooLinkedList &argList, bool method1) const
	Plot function or PDF on frame with support for visualization of the uncertainty encoded in the given fit result fr.

bool	plotSanityChecks (RooPlot *frame) const
	Utility function for plotOn(), perform general sanity check on frame to ensure safe plotting operations.

bool	redirectServersHook (const RooAbsCollection &newServerList, bool mustReplaceAll, bool nameChange, bool isRecursiveStep) override
	Function that is called at the end of redirectServers().

virtual void	selectNormalization (const RooArgSet *depSet=nullptr, bool force=false)
	Interface function to force use of a given set of observables to interpret function value.

virtual void	selectNormalizationRange (const char *rangeName=nullptr, bool force=false)
	Interface function to force use of a given normalization range to interpret function value.

void	setTreeBranchStatus (TTree &t, bool active) override
	(De)Activate associated tree branch

void	syncCache (const RooArgSet *set=nullptr) override

double	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) 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	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 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	_forceNumInt = false
	Force numerical integration if flag set.

TString	_label
	Plot label for objects value.

RooFit::UniqueId< RooArgSet >::Value_t	_lastNormSetId = RooFit::UniqueId<RooArgSet>::nullval
	Component selection flag for RooAbsPdf::plotCompOn.

Int_t	_plotBins = 100
	Number of plot bins.

double	_plotMax = 0.0
	Maximum of plot range.

double	_plotMin = 0.0
	Minimum of plot range.

bool	_selectComp = true
	A buffer for reading values from trees.

std::unique_ptr< RooNumIntConfig >	_specIntegratorConfig

std::unique_ptr< TreeReadBuffer >	_treeReadBuffer

TString	_unit
	Unit for objects value.

double	_value = 0.0
	Cache for current value of object.

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 = std::numeric_limits<std::size_t>::max()
	In which workspace do I live, if any.

bool	_deleteWatch = false

RooExpensiveObjectCache *	_eocache {nullptr}
	Prohibit server redirects – Debugging tool.

bool	_fast = false

bool	_isConstant = false
	De-duplicated name pointer. This will be equal for all objects with the same name.

bool	_localNoInhibitDirty = false
	Cached isConstant status.

RooWorkspace *	_myws = nullptr
	Prevent 'AlwaysDirty' mode for this node.

const TNamed *	_namePtr = nullptr
	Pointer to global cache manager for any expensive components created by this object.

OperMode	_operMode = Auto

RooArgSet *	_ownedComponents = nullptr

bool	_prohibitServerRedirect = false
	Set of owned component.

RooRefArray	_proxyList

ProxyListCache	_proxyListCache

RefCountList_t	_serverList

bool	_shapeDirty = true

std::map< std::string, std::string >	_stringAttrib

bool	_valueDirty = true

Protected Attributes inherited from TNamed
TString	fName

TString	fTitle

Static Protected Attributes
static Int_t	_evalErrorCount = 0

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

static ErrorLoggingMode	_evalErrorMode = RooAbsReal::PrintErrors

static bool	_globalSelectComp = false

static bool	_hideOffset = true
	Offset hiding flag.

Static Protected Attributes inherited from RooAbsArg
static bool	_inhibitDirty

static bool	_verboseDirty
	cache of the list of proxies. Avoids type casting.

Static Protected Attributes inherited from RooPrintable
static Int_t	_nameLength

Private Member Functions
double	_DEBUG_getVal (const RooArgSet *normalisationSet) const
	Debug version of getVal(), which is slow and does error checking.

Friends
class	AddCacheElem

class	BatchInterfaceAccessor

class	RooAddHelpers

class	RooAddModel

class	RooAddPdf

class	RooFit::EvalContext

class	RooRealBinding

class	RooRealSumFunc

class	RooRealSumPdf

class	RooVectorDataStore

Additional Inherited Members
Protected Types inherited from TObject
enum	{ kOnlyPrepStep = (1ULL << ( 3 )) }

#include <RooAbsReal.h>

Inheritance diagram for RooAbsReal:

[legend]

Member Typedef Documentation

◆ EvalErrorIter

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

Definition at line 347 of file RooAbsReal.h.

◆ value_type

using RooAbsReal::value_type = double

Definition at line 61 of file RooAbsReal.h.

Member Enumeration Documentation

◆ ErrorLoggingMode

enum RooAbsReal::ErrorLoggingMode

Enumerator
PrintErrors
CollectErrors
CountErrors
Ignore

Definition at line 321 of file RooAbsReal.h.

◆ ScaleType

enum RooAbsReal::ScaleType

Enumerator
Raw
Relative
NumEvent
RelativeExpected

Definition at line 276 of file RooAbsReal.h.

Constructor & Destructor Documentation

◆ RooAbsReal() [1/4]

RooAbsReal::RooAbsReal ( )

coverity[UNINIT_CTOR] Default constructor

Definition at line 180 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 186 of file RooAbsReal.cxx.

◆ RooAbsReal() [3/4]

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

Constructor with plot range and unit label.

Definition at line 197 of file RooAbsReal.cxx.

◆ RooAbsReal() [4/4]

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

Copy constructor.

Definition at line 208 of file RooAbsReal.cxx.

◆ ~RooAbsReal()

RooAbsReal::~RooAbsReal ( )

override

Destructor.

Definition at line 222 of file RooAbsReal.cxx.

Member Function Documentation

◆ _DEBUG_getVal()

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

private

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

Definition at line 4510 of file RooAbsReal.cxx.

◆ analyticalIntegral()

double RooAbsReal::analyticalIntegral	(	Int_t	code,
		const char *	rangeName = `nullptr`
	)		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 RooLegacyExpPoly, RooPowerSum, RooGaussModel, RooLandau, RooArgusBG, RooBernstein, RooBifurGauss, RooBreitWigner, RooChebychev, RooChiSquarePdf, RooCrystalBall, RooDstD0BG, RooExponential, RooGamma, RooGaussian, RooGExpModel, RooJohnson, RooKeysPdf, RooLognormal, RooNDKeysPdf, RooNovosibirsk, RooParametricStepFunction, RooPoisson, RooPolynomial, RooUniform, RooAddition, RooBinSamplingPdf, RooConvCoefVar, RooEfficiency, RooHistFunc, RooHistPdf, RooMultiVarGaussian, RooPolyVar, RooProduct, RooTruthModel, RooWrapperPdf, RooFixedProdPdf, RooLegendre, RooNonCentralChiSquare, RooSpHarmonic, and RooCBShape.

Definition at line 392 of file RooAbsReal.cxx.

◆ analyticalIntegralWN()

double RooAbsReal::analyticalIntegralWN	(	Int_t	code,
		const RooArgSet *	normSet,
		const char *	rangeName = `nullptr`
	)		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, RooFixedProdPdf, ParamHistFunc, PiecewiseInterpolation, RooLagrangianMorphFunc, RooParamHistFunc, RooAbsAnaConvPdf, RooAbsCachedPdf, RooAbsCachedReal, RooAbsPdf, RooAddModel, RooAddPdf, RooExtendPdf, RooProdPdf, RooProjectedPdf, RooRealSumFunc, RooRealSumPdf, and RooSimultaneous.

Definition at line 378 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 3987 of file RooAbsReal.cxx.

◆ attachToTree()

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

overrideprotectedvirtual

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 tree branch with the same name as this object. If no double 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 3113 of file RooAbsReal.cxx.

◆ attachToVStore()

void RooAbsReal::attachToVStore ( RooVectorDataStore & vstore )

overrideprotectedvirtual

Implements RooAbsArg.

Reimplemented in RooRealVar.

Definition at line 3097 of file RooAbsReal.cxx.

◆ binBoundaries()

std::list< double > * RooAbsReal::binBoundaries	(	RooAbsRealLValue &	obs,
		double	xlo,
		double	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 std::list.

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

Definition at line 3640 of file RooAbsReal.cxx.

◆ bindVars()

RooFit::OwningPtr< RooAbsFunc > RooAbsReal::bindVars	(	const RooArgSet &	vars,
		const RooArgSet *	nset = `nullptr`,
		bool	clipInvalid = `false`
	)		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 3065 of file RooAbsReal.cxx.

◆ buildCallToAnalyticIntegral()

std::string RooAbsReal::buildCallToAnalyticIntegral	(	Int_t	code,
		const char *	rangeName,
		RooFit::Detail::CodeSquashContext &	ctx
	)		const

virtual

This function defines the analytical integral translation for the class.

Parameters

[in]	code	The code that decides the integrands.
[in]	rangeName	Name of the normalization range.
[in]	ctx	An object to manage auxiliary information for code-squashing.

Returns: The representative code string of the integral for the given object.

Reimplemented in RooLognormal, RooPoisson, RooHistFunc, RooHistPdf, RooBernstein, RooBifurGauss, RooCBShape, RooChebychev, RooExponential, RooGamma, RooGaussian, RooLandau, RooPolynomial, RooUniform, RooEfficiency, and RooPolyVar.

Definition at line 4501 of file RooAbsReal.cxx.

◆ chi2FitTo() [1/4]

RooFit::OwningPtr< RooFitResult > RooAbsReal::chi2FitTo	(	RooDataHist &	data,
		const RooCmdArg &	arg1 = `{}`,
		const RooCmdArg &	arg2 = `{}`,
		const RooCmdArg &	arg3 = `{}`,
		const RooCmdArg &	arg4 = `{}`,
		const RooCmdArg &	arg5 = `{}`,
		const RooCmdArg &	arg6 = `{}`,
		const RooCmdArg &	arg7 = `{}`,
		const RooCmdArg &	arg8 = `{}`
	)

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
`Extended(bool flag)`	Only applicable when fitting a RooAbsPdf. Scale the normalized pdf by the number of events predicted by the model instead of scaling by the total data weight. This imposes a constraint on the predicted number of events analogous to the extended term in a likelihood fit. If you don't pass this command, an extended fit will be done by default if the pdf makes a prediction on the number of events (in RooFit jargon, "if the pdf can be extended"). Passing `Extended(true)` when the the pdf makes no prediction on the expected number of events will result in error messages, and the chi2 will fall back to the total data weight to scale the normalized pdf. There are cases where the fit must be done in extended mode. This happens for example when you have a RooAddPdf where the coefficients represent component yields. If the fit is not extended, these coefficients will not be well-defined, as the RooAddPdf always normalizes itself. If you pass `Extended(false)` in such a case, an error will be printed and you'll most likely get garbage results.
`Range(const char* name)`	Fit only data inside range with given name
`Range(double lo, double 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 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 flag)`	Flag controls if HESSE before MIGRAD as well, off by default
`Hesse(bool flag)`	Flag controls if HESSE is run after MIGRAD, on by default
`Minos(bool 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 flag)`	Flag controls if RooFitResult object is produced and returned, off by default
`Strategy(Int_t flag)`	Set Minuit strategy (0 through 2, default is 1)
	Options to control informational output
`Verbose(bool flag)`	Flag controls if verbose output is printed (NLL, parameter changes during fit
`Timer(bool 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 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.

Definition at line 4181 of file RooAbsReal.cxx.

◆ chi2FitTo() [2/4]

RooFit::OwningPtr< RooFitResult > RooAbsReal::chi2FitTo	(	RooDataHist &	data,
		const RooLinkedList &	cmdList
	)

virtual

Calls RooAbsReal::createChi2(RooDataSet& data, const RooLinkedList& cmdList) and returns fit result.

List of possible commands in the cmdList:

Type of CmdArg	Effect on \( \chi^2 \)

`DataError()`	Choose between: RooAbsData::Expected: Expected Poisson error ( \( \sqrt{n_\text{expected}} \) from the PDF). RooAbsData::SumW2: The observed error from the square root of the sum of weights, i.e., symmetric errors calculated with the standard deviation of a Poisson distribution. RooAbsData::Poisson: Asymmetric errors from the central 68 % interval around a Poisson distribution with mean \( n_\text{observed} \). If for a given bin \( n_\text{expected} \) is lower than the \( n_\text{observed} \), the lower uncertainty is taken (e.g., the difference between the mean and the 16 % quantile). If \( n_\text{expected} \) is higher than \( n_\text{observed} \), the higher uncertainty is taken (e.g., the difference between the 84 % quantile and the mean). RooAbsData::Auto (default): RooAbsData::Expected for unweighted data, RooAbsData::SumW2 for weighted data.
`Extended()`	Use expected number of events of an extended p.d.f as normalization
NumCPU()	Activate parallel processing feature
Range()	Calculate \( \chi^2 \) only in selected region
Verbose()	Verbose output of GOF framework
IntegrateBins()	Integrate PDF within each bin. This sets the desired precision. Only useful for binned fits.
`SumCoefRange()`	Set the range in which to interpret the coefficients of RooAddPdf components
`SplitRange()`	Fit ranges used in different categories get named after the category. Using `Range("range"), SplitRange()` as switches, different ranges could be set like this: myVariable.setRange("range_pi0", 135, 210); myVariable.setRange("range_gamma", 50, 210);
`ConditionalObservables(Args_t &&... argsOrArgSet)`	Define projected observables. Arguments can either be multiple RooRealVar or a single RooArgSet containing them.

Definition at line 4235 of file RooAbsReal.cxx.

◆ chi2FitTo() [3/4]

RooAbsReal::chi2FitTo	(	RooDataSet &	xydata,
		const RooCmdArg &	arg1 = `{}`,
		const RooCmdArg &	arg2 = `{}`,
		const RooCmdArg &	arg3 = `{}`,
		const RooCmdArg &	arg4 = `{}`,
		const RooCmdArg &	arg5 = `{}`,
		const RooCmdArg &	arg6 = `{}`,
		const RooCmdArg &	arg7 = `{}`,
		const RooCmdArg &	arg8 = `{}`
	)

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-square
`YVar(RooRealVar& yvar)`	Designate given column in dataset as Y value
`Integrate(bool 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 flag)`	Flag controls if HESSE before MIGRAD as well, off by default
`Hesse(bool flag)`	Flag controls if HESSE is run after MIGRAD, on by default
`Minos(bool 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 flag)`	Flag controls if RooFitResult object is produced and returned, off by default
`Strategy(Int_t flag)`	Set Minuit strategy (0 through 2, default is 1)
	Options to control informational output
`Verbose(bool flag)`	Flag controls if verbose output is printed (NLL, parameter changes during fit
`Timer(bool 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 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.

Definition at line 4312 of file RooAbsReal.cxx.

◆ chi2FitTo() [4/4]

RooFit::OwningPtr< 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-square
`YVar(RooRealVar& yvar)`	Designate given column in dataset as Y value
`Integrate(bool 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 flag)`	Flag controls if HESSE before MIGRAD as well, off by default
`Hesse(bool flag)`	Flag controls if HESSE is run after MIGRAD, on by default
`Minos(bool 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 flag)`	Flag controls if RooFitResult object is produced and returned, off by default
`Strategy(Int_t flag)`	Set Minuit strategy (0 through 2, default is 1)
	Options to control informational output
`Verbose(bool flag)`	Flag controls if verbose output is printed (NLL, parameter changes during fit
`Timer(bool 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 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.

Definition at line 4330 of file RooAbsReal.cxx.

◆ Class()

static TClass * RooAbsReal::Class ( )

static

Returns: TClass describing this class

◆ Class_Name()

static const char * RooAbsReal::Class_Name ( )

static

Returns: Name of this class

◆ Class_Version()

static constexpr Version_t RooAbsReal::Class_Version ( )

inlinestaticconstexpr

Returns: Version of this class

Definition at line 558 of file RooAbsReal.h.

◆ clearEvalErrorLog()

void RooAbsReal::clearEvalErrorLog ( )

static

Clear the stack of evaluation error messages.

Definition at line 3622 of file RooAbsReal.cxx.

◆ copyCache()

void RooAbsReal::copyCache	(	const RooAbsArg *	source,
		bool	valueOnly = `false`,
		bool	setValDirty = `true`
	)

overrideprotectedvirtual

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 3082 of file RooAbsReal.cxx.

◆ createChi2() [1/4]

RooAbsReal::createChi2	(	RooDataHist &	data,
		const RooCmdArg &	arg1 = `{}`,
		const RooCmdArg &	arg2 = `{}`,
		const RooCmdArg &	arg3 = `{}`,
		const RooCmdArg &	arg4 = `{}`,
		const RooCmdArg &	arg5 = `{}`,
		const RooCmdArg &	arg6 = `{}`,
		const RooCmdArg &	arg7 = `{}`,
		const RooCmdArg &	arg8 = `{}`
	)

virtual

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

Parameters

arg1,arg2,arg3,arg4,arg5,arg6,arg7,arg8 ordered arguments

The list of supported command arguments is given in the documentation for RooChi2Var::RooChi2Var(const char name, const char title, RooAbsReal& func, RooDataHist& hdata, const RooCmdArg&,const RooCmdArg&,const RooCmdArg&, const RooCmdArg&,const RooCmdArg&,const RooCmdArg&, const RooCmdArg&,const RooCmdArg&,const RooCmdArg&).

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.

Definition at line 4254 of file RooAbsReal.cxx.

◆ createChi2() [2/4]

RooFit::OwningPtr< RooAbsReal > RooAbsReal::createChi2	(	RooDataHist &	data,
		const RooLinkedList &	cmdList
	)

virtual

See also: RooAbsReal::createChi2(RooDataHist&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&)

Parameters

data	hist data
cmdList	List with RooCmdArg() from the table

Definition at line 4276 of file RooAbsReal.cxx.

◆ createChi2() [3/4]

RooFit::OwningPtr< RooAbsReal > RooAbsReal::createChi2	(	RooDataSet &	data,
		const RooCmdArg &	arg1 = `{}`,
		const RooCmdArg &	arg2 = `{}`,
		const RooCmdArg &	arg3 = `{}`,
		const RooCmdArg &	arg4 = `{}`,
		const RooCmdArg &	arg5 = `{}`,
		const RooCmdArg &	arg6 = `{}`,
		const RooCmdArg &	arg7 = `{}`,
		const RooCmdArg &	arg8 = `{}`
	)

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 flag)`	Integrate function over range specified by X errors rather than take value at bin center.

Definition at line 4352 of file RooAbsReal.cxx.

◆ createChi2() [4/4]

RooFit::OwningPtr< 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&)

Definition at line 4368 of file RooAbsReal.cxx.

◆ createFundamental()

RooFit::OwningPtr< RooAbsArg > RooAbsReal::createFundamental ( const char * newname = nullptr ) const

overridevirtual

Create a RooRealVar fundamental object with our properties.

The new object will be created without any fit limits.

Implements RooAbsArg.

Definition at line 3212 of file RooAbsReal.cxx.

◆ createHistogram() [1/3]

RooAbsReal::createHistogram	(	const char *	name,
		const RooAbsRealLValue &	xvar,
		const RooCmdArg &	arg1 = `{}`,
		const RooCmdArg &	arg2 = `{}`,
		const RooCmdArg &	arg3 = `{}`,
		const RooCmdArg &	arg4 = `{}`,
		const RooCmdArg &	arg5 = `{}`,
		const RooCmdArg &	arg6 = `{}`,
		const RooCmdArg &	arg7 = `{}`,
		const RooCmdArg &	arg8 = `{}`
	)		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 std::mapped on x axis of ROOT histogram
[in]	arg1,arg2,arg3,arg4,arg5,arg6,arg7,arg8	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)`	Apply density-correction scaling (multiply by bin volume), default is true
`Extended(bool)`	Plot event yield instead of probability density (for extended pdfs only)
`YVar(const RooAbsRealLValue& var,...)`	Observable to be std::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"))) RooAbsReal::createHistogram TH1 * createHistogram(RooStringView 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 w... Definition RooAbsReal.cxx:1211 y Double_t y[n] Definition legend1.C:17 x Double_t x[n] Definition legend1.C:17
`ZVar(const RooAbsRealLValue& var,...)`	Observable to be std::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 1291 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 1309 of file RooAbsReal.cxx.

◆ createHistogram() [3/3]

TH1 * RooAbsReal::createHistogram	(	RooStringView	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 1211 of file RooAbsReal.cxx.

◆ createIntegral() [1/6]

RooFit::OwningPtr< RooAbsReal > RooAbsReal::createIntegral	(	const RooArgSet &	iset,
		const char *	rangeName
	)		const

inline

Create integral over observables in iset in range named rangeName.

Definition at line 207 of file RooAbsReal.h.

◆ createIntegral() [2/6]

RooFit::OwningPtr< RooAbsReal > RooAbsReal::createIntegral	(	const RooArgSet &	iset,
		const RooArgSet &	nset,
		const char *	rangeName = `nullptr`
	)		const

inline

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

Definition at line 211 of file RooAbsReal.h.

◆ createIntegral() [3/6]

RooFit::OwningPtr< RooAbsReal > RooAbsReal::createIntegral	(	const RooArgSet &	iset,
		const RooArgSet &	nset,
		const RooNumIntConfig &	cfg,
		const char *	rangeName = `nullptr`
	)		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 216 of file RooAbsReal.h.

◆ createIntegral() [4/6]

RooFit::OwningPtr< RooAbsReal > RooAbsReal::createIntegral	(	const RooArgSet &	iset,
		const RooArgSet *	nset = `nullptr`,
		const RooNumIntConfig *	cfg = `nullptr`,
		const char *	rangeName = `nullptr`
	)		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 RooAbsRealLValue, RooBinSamplingPdf, and RooRealIntegral.

Definition at line 551 of file RooAbsReal.cxx.

◆ createIntegral() [5/6]

RooAbsReal::createIntegral	(	const RooArgSet &	iset,
		const RooCmdArg &	arg1,
		const RooCmdArg &	arg2 = `{}`,
		const RooCmdArg &	arg3 = `{}`,
		const RooCmdArg &	arg4 = `{}`,
		const RooCmdArg &	arg5 = `{}`,
		const RooCmdArg &	arg6 = `{}`,
		const RooCmdArg &	arg7 = `{}`,
		const RooCmdArg &	arg8 = `{}`
	)		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 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 512 of file RooAbsReal.cxx.

◆ createIntegral() [6/6]

RooFit::OwningPtr< RooAbsReal > RooAbsReal::createIntegral	(	const RooArgSet &	iset,
		const RooNumIntConfig &	cfg,
		const char *	rangeName = `nullptr`
	)		const

inline

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

Definition at line 220 of file RooAbsReal.h.

◆ createIntObj()

RooFit::OwningPtr< 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 588 of file RooAbsReal.cxx.

◆ createIntRI()

RooFit::OwningPtr< RooAbsReal > RooAbsReal::createIntRI	(	const RooArgSet &	iset,
		const RooArgSet &	nset = `{}`
	)

Utility function for createRunningIntegral.

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

Definition at line 3903 of file RooAbsReal.cxx.

◆ createPlotProjection() [1/2]

const RooAbsReal * RooAbsReal::createPlotProjection	(	const RooArgSet &	dependentVars,
		const RooArgSet *	projectedVars,
		RooArgSet *&	cloneSet,
		const char *	rangeName = `nullptr`,
		const RooArgSet *	condObs = `nullptr`
	)		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 842 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 813 of file RooAbsReal.cxx.

◆ createProfile()

RooFit::OwningPtr< 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 469 of file RooAbsReal.cxx.

◆ createRunningIntegral() [1/2]

RooFit::OwningPtr< RooAbsReal > RooAbsReal::createRunningIntegral	(	const RooArgSet &	iset,
		const RooArgSet &	nset = `{}`
	)

Calls createRunningIntegral(const RooArgSet&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&, const RooCmdArg&)

Definition at line 3782 of file RooAbsReal.cxx.

◆ createRunningIntegral() [2/2]

RooAbsReal::createRunningIntegral	(	const RooArgSet &	iset,
		const RooCmdArg &	arg1,
		const RooCmdArg &	arg2 = `{}`,
		const RooCmdArg &	arg3 = `{}`,
		const RooCmdArg &	arg4 = `{}`,
		const RooCmdArg &	arg5 = `{}`,
		const RooCmdArg &	arg6 = `{}`,
		const RooCmdArg &	arg7 = `{}`,
		const RooCmdArg &	arg8 = `{}`
	)

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 3826 of file RooAbsReal.cxx.

◆ createScanRI()

RooFit::OwningPtr< 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 3886 of file RooAbsReal.cxx.

◆ DeclFileName()

static const char * RooAbsReal::DeclFileName ( )

inlinestatic

Returns: Name of the file containing the class declaration

Definition at line 558 of file RooAbsReal.h.

◆ defaultErrorLevel()

virtual double RooAbsReal::defaultErrorLevel ( ) const

inlinevirtual

Reimplemented in RooAddition, RooChi2Var, RooFit::TestStatistics::RooRealL, RooFormulaVar, RooFit::Experimental::RooFuncWrapper, RooNLLVar, RooXYChi2Var, and ProgressMonitor.

Definition at line 248 of file RooAbsReal.h.

◆ defaultIntegratorConfig()

RooNumIntConfig * RooAbsReal::defaultIntegratorConfig ( )

static

Returns the default numeric integration configuration for all RooAbsReals.

Definition at line 3354 of file RooAbsReal.cxx.

◆ derivative() [1/2]

RooDerivative * RooAbsReal::derivative	(	RooRealVar &	obs,
		const RooArgSet &	normSet,
		Int_t	order,
		double	eps = `0.001`
	)

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

Definition at line 4075 of file RooAbsReal.cxx.

◆ derivative() [2/2]

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

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

Definition at line 4063 of file RooAbsReal.cxx.

◆ doEval()

void RooAbsReal::doEval ( RooFit::EvalContext & ctx ) const

virtual

Base function for computing multiple values of a RooAbsReal.

Parameters

ctx	An evaluation context object

Reimplemented in RooStats::HistFactory::FlexibleInterpVar, ParamHistFunc, PiecewiseInterpolation, RooArgusBG, RooBernstein, RooBifurGauss, RooBMixDecay, RooBreitWigner, RooBukinPdf, RooCBShape, RooChebychev, RooChiSquarePdf, RooDstD0BG, RooExponential, RooGamma, RooGaussian, RooGaussModel, RooJohnson, RooLandau, RooLegacyExpPoly, RooLognormal, RooNovosibirsk, RooPoisson, RooPolynomial, RooPowerSum, RooVoigtian, RooAbsCachedPdf, RooAddition, RooAddModel, RooAddPdf, RooBinSamplingPdf, RooBinWidthFunction, RooConstraintSum, RooGenericPdf, RooHistFunc, RooHistPdf, RooPolyVar, RooProduct, RooRatio, RooRealSumPdf, RooTruthModel, RooNormalizedPdf, RooHypatia2, RooLegendre, RooFormulaVar, and RooFixedProdPdf.

Definition at line 4419 of file RooAbsReal.cxx.

◆ enableOffsetting()

void RooAbsReal::enableOffsetting ( bool flag )

virtual

Reimplemented in RooAbsTestStatistic, and RooRealMPFE.

Definition at line 4560 of file RooAbsReal.cxx.

◆ evalErrorIter()

RooAbsReal::EvalErrorIter RooAbsReal::evalErrorIter ( )

static

Definition at line 308 of file RooAbsReal.cxx.

◆ evalErrorLoggingMode()

RooAbsReal::ErrorLoggingMode RooAbsReal::evalErrorLoggingMode ( )

static

Return current evaluation error logging mode.

Definition at line 4378 of file RooAbsReal.cxx.

◆ evaluate()

virtual double 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, ParamHistFunc, 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, RooExponential, RooFunctor1DBinding, RooFunctor1DPdfBinding, RooFunctorBinding, RooFunctorPdfBinding, RooGamma, RooGaussian, RooGaussModel, RooGExpModel, RooHistConstraint, RooIntegralMorph, RooJeffreysPrior, RooJohnson, RooKeysPdf, RooLagrangianMorphFunc, RooLandau, RooLegacyExpPoly, RooLognormal, RooMomentMorph, RooMomentMorphFunc, RooMomentMorphFuncND, RooMultiBinomial, RooNDKeysPdf, RooNovosibirsk, RooParametricStepFunction, RooParamHistFunc, RooPoisson, RooPolynomial, RooPowerSum, RooSpline, RooStepFunction, RooTFnBinding, RooTFnPdfBinding, RooUnblindCPAsymVar, RooUnblindOffset, RooUnblindPrecision, RooUnblindUniform, RooUniform, RooVoigtian, RooAbsAnaConvPdf, RooAbsTestStatistic, RooAddition, RooAddModel, RooAddPdf, RooBinSamplingPdf, RooBinWidthFunction, RooCachedPdf, RooCachedReal, RooChangeTracker, RooConstraintSum, RooConstVar, RooConvCoefVar, RooDerivative, RooEfficiency, RooEffProd, RooErrorVar, RooExtendedBinding, RooExtendedTerm, RooExtendPdf, RooFFTConvPdf, RooFirstMoment, RooFit::TestStatistics::RooRealL, RooFormulaVar, RooFracRemainder, RooFit::Experimental::RooFuncWrapper, RooGenericPdf, RooHistFunc, RooHistPdf, RooLinearCombination, RooLinearVar, RooMoment, RooMultiVarGaussian, RooNumConvolution, RooNumConvPdf, RooNumRunningInt, RooPolyFunc, RooPolyVar, RooProdPdf, RooProduct, RooProfileLL, RooProjectedPdf, RooPullVar, RooRangeBoolean, RooRatio, RooRealIntegral, RooRealMPFE, RooRealSumFunc, RooRealSumPdf, RooRealVar, RooRecursiveFraction, RooSecondMoment, RooSimultaneous, RooTruthModel, RooWrapperPdf, RooGenProdProj, RooNormalizedPdf, RooFixedProdPdf, RooHypatia2, RooLegendre, RooNonCentralChiSquare, RooSpHarmonic, RooStats::Heaviside, ProgressMonitor, xRooProjectedPdf, and PdfWrapper.

◆ fillDataHist()

RooDataHist * RooAbsReal::fillDataHist	(	RooDataHist *	hist,
		const RooArgSet *	normSet,
		double	scaleFactor,
		bool	correctForBinSize = `false`,
		bool	showProgress = `false`
	)		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 1152 of file RooAbsReal.cxx.

◆ fillHistogram()

TH1 * RooAbsReal::fillHistogram	(	TH1 *	hist,
		const RooArgList &	plotVars,
		double	scaleFactor = `1`,
		const RooArgSet *	projectedVars = `nullptr`,
		bool	scaleForDensity = `true`,
		const RooArgSet *	condObs = `nullptr`,
		bool	setError = `true`
	)		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 975 of file RooAbsReal.cxx.

◆ fillTreeBranch()

void RooAbsReal::fillTreeBranch ( TTree & t )

overrideprotectedvirtual

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

Implements RooAbsArg.

Reimplemented in RooRealVar.

Definition at line 3181 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 699 of file RooAbsReal.cxx.

◆ findRoot()

double RooAbsReal::findRoot	(	RooRealVar &	x,
		double	xmin,
		double	xmax,
		double	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 4127 of file RooAbsReal.cxx.

◆ fixAddCoefNormalization()

void RooAbsReal::fixAddCoefNormalization	(	const RooArgSet &	addNormSet = `RooArgSet()`,
		bool	force = `true`
	)

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 3726 of file RooAbsReal.cxx.

◆ fixAddCoefRange()

void RooAbsReal::fixAddCoefRange	(	const char *	rangeName = `nullptr`,
		bool	force = `true`
	)

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 3751 of file RooAbsReal.cxx.

◆ forceAnalyticalInt()

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

inlinevirtual

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

Definition at line 164 of file RooAbsReal.h.

◆ forceNumInt()

virtual void RooAbsReal::forceNumInt ( bool flag = true )

inlinevirtual

Definition at line 169 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 3963 of file RooAbsReal.cxx.

◆ getAnalyticalIntegral()

Int_t RooAbsReal::getAnalyticalIntegral	(	RooArgSet &	allVars,
		RooArgSet &	analVars,
		const char *	rangeName = `nullptr`
	)		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, RooExponential, RooGamma, RooGaussian, RooGaussModel, RooGExpModel, RooJohnson, RooKeysPdf, RooLandau, RooLegacyExpPoly, RooLognormal, RooNDKeysPdf, RooNovosibirsk, RooParametricStepFunction, RooPoisson, RooPolynomial, RooPowerSum, RooUniform, RooConvCoefVar, RooEfficiency, RooHistFunc, RooHistPdf, RooMultiVarGaussian, RooPolyVar, RooTruthModel, RooLegendre, RooNonCentralChiSquare, RooSpHarmonic, RooAddition, RooBinSamplingPdf, RooWrapperPdf, and RooFixedProdPdf.

Definition at line 366 of file RooAbsReal.cxx.

◆ getAnalyticalIntegralWN()

Int_t RooAbsReal::getAnalyticalIntegralWN	(	RooArgSet &	allDeps,
		RooArgSet &	analDeps,
		const RooArgSet *	normSet,
		const char *	rangeName = `nullptr`
	)		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, ParamHistFunc, PiecewiseInterpolation, RooParamHistFunc, RooAbsAnaConvPdf, RooAbsCachedPdf, RooAbsCachedReal, RooBinSamplingPdf, RooExtendPdf, RooProduct, RooProjectedPdf, RooWrapperPdf, RooFixedProdPdf, RooLagrangianMorphFunc, RooAddModel, RooAddPdf, RooProdPdf, RooRealSumFunc, RooRealSumPdf, and RooSimultaneous.

Definition at line 349 of file RooAbsReal.cxx.

◆ getForceNumInt()

bool RooAbsReal::getForceNumInt ( ) const

inline

Definition at line 174 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 3404 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 3391 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, RooBinSamplingPdf, RooFFTConvPdf, RooHistFunc, RooHistPdf, RooWrapperPdf, RooLegendre, and RooSpHarmonic.

Definition at line 3468 of file RooAbsReal.cxx.

◆ getPlotLabel()

const char * RooAbsReal::getPlotLabel ( ) const

Get the label associated with the variable.

Definition at line 404 of file RooAbsReal.cxx.

◆ getPropagatedError()

double RooAbsReal::getPropagatedError	(	const RooFitResult &	fr,
		const RooArgSet &	nset = `{}`
	)		const

Propagates parameter uncertainties to an uncertainty estimate for this RooAbsReal.

Estimates the uncertainty \(\sigma_f(x;\theta)\) on a function \(f(x;\theta)\) represented by this RooAbsReal. Here, \(\theta\) is a vector of parameters with uncertainties \(\sigma_\theta\), and \(x\) are usually observables. The uncertainty is estimated by linearly propagating the parameter uncertainties using the correlation matrix from a fit result.

The square of the uncertainty on \(f(x;\theta)\) is calculated as follows:

\[ \sigma_f(x)^2 = \Delta f_i(x) \cdot \mathrm{Corr}_{i, j} \cdot \Delta f_j(x), \]

where \( \Delta f_i(x) = \frac{1}{2} \left(f(x;\theta_i + \sigma_{\theta_i}) - f(x; \theta_i - \sigma_{\theta_i}) \right) \) is the vector of function variations when changing the parameters one at a time, and \( \mathrm{Corr}_{i,j} = \left(\sigma_{\theta_i} \sigma_{\theta_j}\right)^{-1} \cdot \mathrm{Cov}_{i,j} \) is the correlation matrix from the fit result.

Definition at line 2557 of file RooAbsReal.cxx.

◆ getTitle()

TString RooAbsReal::getTitle ( bool appendUnit = false ) const

Return this variable's title string.

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

Definition at line 263 of file RooAbsReal.cxx.

◆ getUnit()

const Text_t * RooAbsReal::getUnit ( ) const

inline

Definition at line 143 of file RooAbsReal.h.

◆ getVal() [1/2]

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

inline

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

Definition at line 126 of file RooAbsReal.h.

◆ getVal() [2/2]

double 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 103 of file RooAbsReal.h.

◆ getValV()

double 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, ProgressMonitor, RooAbsHiddenReal, RooConvCoefVar, RooRealMPFE, RooRealVar, RooResolutionModel, RooMomentMorph, RooMomentMorphFunc, RooMomentMorphFuncND, RooAbsCachedPdf, RooAbsCachedReal, RooAbsPdf, RooAddPdf, RooErrorVar, and RooRealIntegral.

Definition at line 281 of file RooAbsReal.cxx.

◆ globalSelectComp()

void RooAbsReal::globalSelectComp ( bool flag )

staticprotected

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

Definition at line 3051 of file RooAbsReal.cxx.

◆ gradient()

virtual void RooAbsReal::gradient ( double * ) const

inlinevirtual

Reimplemented in RooFit::Experimental::RooFuncWrapper.

Definition at line 395 of file RooAbsReal.h.

◆ hasGradient()

virtual bool RooAbsReal::hasGradient ( ) const

inlinevirtual

Reimplemented in RooFit::Experimental::RooFuncWrapper.

Definition at line 394 of file RooAbsReal.h.

◆ hideOffset()

bool RooAbsReal::hideOffset ( )

static

Definition at line 169 of file RooAbsReal.cxx.

◆ integralNameSuffix()

TString RooAbsReal::integralNameSuffix	(	const RooArgSet &	iset,
		const RooArgSet *	nset = `nullptr`,
		const char *	rangeName = `nullptr`,
		bool	omitEmpty = `false`
	)		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 753 of file RooAbsReal.cxx.

◆ IsA()

TClass * RooAbsReal::IsA ( ) const

inlineoverridevirtual

Returns: TClass describing current object

Reimplemented from TObject.

Reimplemented in RooStats::HistFactory::RooBarlowBeestonLL, RooArgusBG, RooBCPEffDecay, RooBCPGenDecay, RooBDecay, RooBernstein, RooBifurGauss, RooBMixDecay, 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, RooDecay, RooDstD0BG, RooExponential, RooFunctor1DBinding, RooFunctor1DPdfBinding, RooFunctorBinding, RooFunctorPdfBinding, RooGamma, RooGaussian, RooGaussModel, RooGExpModel, RooHistConstraint, RooIntegralMorph, RooJeffreysPrior, RooJohnson, RooKeysPdf, RooLagrangianMorphFunc, RooLandau, RooLegacyExpPoly, RooLognormal, RooMomentMorph, RooMomentMorphFunc, RooMomentMorphFuncND, RooMultiBinomial, RooNDKeysPdf, RooNonCPEigenDecay, RooNovosibirsk, RooParametricStepFunction, RooParamHistFunc, RooPoisson, RooPolynomial, RooPowerSum, RooSpline, RooStepFunction, RooTFnBinding, RooTFnPdfBinding, RooUnblindCPAsymVar, RooUnblindOffset, RooUnblindPrecision, RooUnblindUniform, RooUniform, RooVoigtian, RooAbsRealLValue, RooAbsTestStatistic, RooAddition, RooAddModel, RooAddPdf, RooBinSamplingPdf, RooBinWidthFunction, RooCachedPdf, RooCachedReal, RooChangeTracker, RooChi2Var, RooConstraintSum, RooConstVar, RooConvCoefVar, RooDerivative, RooEfficiency, RooEffProd, RooErrorVar, RooExtendedBinding, RooExtendedTerm, RooExtendPdf, RooFFTConvPdf, RooFirstMoment, RooFit::TestStatistics::RooRealL, RooFormulaVar, RooFracRemainder, RooGenericPdf, RooHistFunc, RooHistPdf, RooLinearCombination, RooLinearVar, RooMoment, RooMultiVarGaussian, RooNLLVar, RooNumCdf, RooNumConvolution, RooNumConvPdf, RooNumRunningInt, RooPolyFunc, RooPolyVar, RooProdPdf, RooProduct, RooProfileLL, RooProjectedPdf, RooPullVar, RooRangeBoolean, RooRatio, RooRealIntegral, RooRealMPFE, RooRealSumFunc, RooRealSumPdf, RooRealVar, RooRecursiveFraction, RooResolutionModel, RooSecondMoment, RooSimultaneous, RooTruthModel, RooWrapperPdf, RooXYChi2Var, RooLegendre, RooNonCentralChiSquare, and RooSpHarmonic.

Definition at line 558 of file RooAbsReal.h.

◆ isBinnedDistribution()

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

inlinevirtual

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

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

Definition at line 353 of file RooAbsReal.h.

◆ isIdentical()

bool RooAbsReal::isIdentical	(	const RooAbsArg &	other,
		bool	assumeSameType = `false`
	)		const

overridevirtual

Implements RooAbsArg.

Definition at line 248 of file RooAbsReal.cxx.

◆ isOffsetting()

virtual bool RooAbsReal::isOffsetting ( ) const

inlinevirtual

Reimplemented in RooAbsTestStatistic.

Definition at line 377 of file RooAbsReal.h.

◆ isSelectedComp()

bool RooAbsReal::isSelectedComp ( ) const

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

Definition at line 3041 of file RooAbsReal.cxx.

◆ isValid()

bool RooAbsReal::isValid ( ) const

inlineoverrideprotectedvirtual

Check if current value is valid.

Reimplemented from RooAbsArg.

Reimplemented in RooRealIntegral.

Definition at line 452 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 RooAbsRealLValue, RooRealIntegral, RooFormulaVar, and RooGenericPdf.

Definition at line 454 of file RooAbsReal.h.

◆ logEvalError() [1/2]

void RooAbsReal::logEvalError	(	const char *	message,
		const char *	serverValueString = `nullptr`
	)		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 3545 of file RooAbsReal.cxx.

◆ logEvalError() [2/2]

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

static

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

Definition at line 3490 of file RooAbsReal.cxx.

◆ makeProjectionSet()

void RooAbsReal::makeProjectionSet	(	const RooAbsArg *	plotVar,
		const RooArgSet *	allVars,
		RooArgSet &	projectedVars,
		bool	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 2988 of file RooAbsReal.cxx.

◆ matchArgs() [1/5]

bool 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 3228 of file RooAbsReal.cxx.

◆ matchArgs() [2/5]

bool 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 3245 of file RooAbsReal.cxx.

◆ matchArgs() [3/5]

bool 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 3263 of file RooAbsReal.cxx.

◆ matchArgs() [4/5]

bool 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 3283 of file RooAbsReal.cxx.

◆ matchArgs() [5/5]

bool 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 3303 of file RooAbsReal.cxx.

◆ matchArgsByName()

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

protected

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

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

Definition at line 3323 of file RooAbsReal.cxx.

◆ maxVal()

double 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, RooBinSamplingPdf, RooFFTConvPdf, RooHistFunc, RooHistPdf, RooWrapperPdf, RooLegendre, and RooSpHarmonic.

Definition at line 3479 of file RooAbsReal.cxx.

◆ mean() [1/2]

RooAbsMoment * RooAbsReal::mean ( RooRealVar & obs )

inline

Definition at line 366 of file RooAbsReal.h.

◆ mean() [2/2]

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

inline

Definition at line 367 of file RooAbsReal.h.

◆ minTrialSamples()

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

inlinevirtual

Reimplemented in RooBinSamplingPdf, and RooWrapperPdf.

Definition at line 241 of file RooAbsReal.h.

◆ moment() [1/2]

RooAbsMoment * RooAbsReal::moment	(	RooRealVar &	obs,
		const RooArgSet &	normObs,
		Int_t	order,
		bool	central,
		bool	takeRoot,
		bool	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 4110 of file RooAbsReal.cxx.

◆ moment() [2/2]

RooAbsMoment * RooAbsReal::moment	(	RooRealVar &	obs,
		Int_t	order,
		bool	central,
		bool	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 4091 of file RooAbsReal.cxx.

◆ numEvalErrorItems()

Int_t RooAbsReal::numEvalErrorItems ( )

static

Definition at line 300 of file RooAbsReal.cxx.

◆ numEvalErrors()

Int_t RooAbsReal::numEvalErrors ( )

static

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

Definition at line 3701 of file RooAbsReal.cxx.

◆ offset()

virtual double RooAbsReal::offset ( ) const

inlinevirtual

Reimplemented in RooAbsTestStatistic.

Definition at line 378 of file RooAbsReal.h.

◆ operator==() [1/2]

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

overridevirtual

Equality operator when comparing to another RooAbsArg.

Only functional when the other arg is a RooAbsReal

Implements RooAbsArg.

Definition at line 239 of file RooAbsReal.cxx.

◆ operator==() [2/2]

bool RooAbsReal::operator== ( double value ) const

Equality operator comparing to a double.

Definition at line 228 of file RooAbsReal.cxx.

◆ plotAsymOn()

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

protectedvirtual

Definition at line 2284 of file RooAbsReal.cxx.

◆ plotOn() [1/3]

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

Parameters

[in]	frame	pointer to RooPlot
[in]	arg1,arg2,arg3,arg4,arg5,arg6,arg7,arg8,arg9,arg10	Ordered arguments

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 specified 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 value)`	Set curve points at which (pdf) evaluation errors occur to specified value. By default the function value is plotted.
`Normalization(double 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 indices -1,0 and +1.
`ShiftToZero(bool 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 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 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 flag)`	Add curve to frame, but do not display. Useful in combination AddTo()
`VisualizeError(const RooFitResult& fitres, double Z=1, bool linearMethod=true)`	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 Z=1, bool linearMethod=true)`	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:

See also: plotOnWithErrorBand()

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 1639 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 overridden 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 1931 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 1659 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 indirectly selected nodes as 'selected' using the selectComp() method

Definition at line 1466 of file RooAbsReal.cxx.

◆ plotOnWithErrorBand()

RooPlot * RooAbsReal::plotOnWithErrorBand	(	RooPlot *	frame,
		const RooFitResult &	fr,
		double	Z,
		const RooArgSet *	params,
		const RooLinkedList &	argList,
		bool	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=true), 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 value 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 2686 of file RooAbsReal.cxx.

◆ plotSamplingHint()

std::list< double > * RooAbsReal::plotSamplingHint	(	RooAbsRealLValue &	obs,
		double	xlo,
		double	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 std::list.

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

Definition at line 3651 of file RooAbsReal.cxx.

◆ plotSanityChecks()

bool RooAbsReal::plotSanityChecks ( RooPlot * frame ) const

protected

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

Definition at line 2945 of file RooAbsReal.cxx.

◆ plotSliceOn()

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

virtual

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

Definition at line 2253 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 'orderedObs', This default implementation indicates no preference and copies the original order of 'obs' into 'orderedObs'

Reimplemented in RooIntegralMorph, and RooCachedPdf.

Definition at line 3770 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 3662 of file RooAbsReal.cxx.

◆ printMultiline()

void RooAbsReal::printMultiline	(	std::ostream &	os,
		Int_t	contents,
		bool	verbose = `false`,
		TString	indent = `""`
	)		const

overridevirtual

Structure printing.

Reimplemented from RooAbsArg.

Reimplemented in RooGenericPdf, RooResolutionModel, RooAbsRealLValue, RooFormulaVar, RooRealIntegral, and RooRealVar.

Definition at line 453 of file RooAbsReal.cxx.

◆ printValue()

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

overridevirtual

Print object value.

Reimplemented from RooPrintable.

Reimplemented in RooRealVar.

Definition at line 443 of file RooAbsReal.cxx.

◆ readFromStream()

bool RooAbsReal::readFromStream	(	std::istream &	is,
		bool	compact,
		bool	verbose = `false`
	)

overridevirtual

Read object contents from stream (dummy for now)

Implements RooAbsArg.

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

Definition at line 424 of file RooAbsReal.cxx.

◆ redirectServersHook()

bool RooAbsReal::redirectServersHook	(	const RooAbsCollection &	newServerList,
		bool	mustReplaceAll,
		bool	nameChange,
		bool	isRecursiveStep
	)

overrideprotectedvirtual

Function that is called at the end of redirectServers().

Can be overloaded to inject some class-dependent behavior after server redirection, e.g. resetting of caches. The return value is meant to be an error flag, so in case something goes wrong the function should return true. If you overload this function, don't forget to also call the function of the base class.

See also: redirectServers() For a detailed explanation of the function parameters.

Reimplemented from RooAbsArg.

Reimplemented in RooAddPdf, RooDerivative, RooProdPdf, RooProfileLL, RooAbsTestStatistic, RooFormulaVar, RooGenericPdf, RooNumConvolution, RooRealIntegral, RooResolutionModel, and RooProjectedPdf.

Definition at line 4550 of file RooAbsReal.cxx.

◆ selectComp()

void RooAbsReal::selectComp ( bool flag )

inline

Definition at line 384 of file RooAbsReal.h.

◆ selectNormalization()

void RooAbsReal::selectNormalization	(	const RooArgSet *	depSet = `nullptr`,
		bool	force = `false`
	)

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 RooAddModel, RooAddPdf, and RooSimultaneous.

Definition at line 3442 of file RooAbsReal.cxx.

◆ selectNormalizationRange()

void RooAbsReal::selectNormalizationRange	(	const char *	rangeName = `nullptr`,
		bool	force = `false`
	)

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

Definition at line 3455 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]	notifyClients	If true, notify users of this object that its value changed. This is the default.

Reimplemented from RooAbsArg.

Definition at line 568 of file RooAbsReal.h.

◆ setData()

virtual bool RooAbsReal::setData	(	RooAbsData &	,
		bool	= `true`
	)

inlinevirtual

Reimplemented in ProgressMonitor, RooAbsTestStatistic, RooAddition, and RooConstraintSum.

Definition at line 374 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 4392 of file RooAbsReal.cxx.

◆ setHideOffset()

void RooAbsReal::setHideOffset ( bool flag )

static

Definition at line 168 of file RooAbsReal.cxx.

◆ setIntegratorConfig() [1/2]

void RooAbsReal::setIntegratorConfig ( )

Remove the specialized numeric integration configuration associated with this object.

Definition at line 3428 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 3417 of file RooAbsReal.cxx.

◆ setParameterizeIntegral()

void RooAbsReal::setParameterizeIntegral ( const RooArgSet & paramVars )

Definition at line 4400 of file RooAbsReal.cxx.

◆ setPlotLabel()

void RooAbsReal::setPlotLabel ( const char * label )

Set the label associated with this variable.

Definition at line 414 of file RooAbsReal.cxx.

◆ setTreeBranchStatus()

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

overrideprotectedvirtual

(De)Activate associated tree branch

Implements RooAbsArg.

Definition at line 3198 of file RooAbsReal.cxx.

◆ setUnit()

void RooAbsReal::setUnit ( const char * unit )

inline

Definition at line 147 of file RooAbsReal.h.

◆ sigma() [1/2]

RooAbsMoment * RooAbsReal::sigma ( RooRealVar & obs )

inline

Definition at line 368 of file RooAbsReal.h.

◆ sigma() [2/2]

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

inline

Definition at line 369 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 3364 of file RooAbsReal.cxx.

◆ specialIntegratorConfig() [2/2]

RooNumIntConfig * RooAbsReal::specialIntegratorConfig ( bool createOnTheFly )

Returns the specialized integrator configuration for this RooAbsReal.

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

Definition at line 3376 of file RooAbsReal.cxx.

◆ Streamer()

void RooAbsReal::Streamer ( TBuffer & R__b )

overridevirtual

Stream an object of class TObject.

Reimplemented from TObject.

Reimplemented in RooStats::HistFactory::RooBarlowBeestonLL, RooArgusBG, RooBCPEffDecay, RooBCPGenDecay, RooBDecay, RooBernstein, RooBifurGauss, RooBMixDecay, 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, RooDecay, RooDstD0BG, RooExponential, RooFunctor1DBinding, RooFunctor1DPdfBinding, RooFunctorBinding, RooFunctorPdfBinding, RooGamma, RooGaussian, RooGaussModel, RooGExpModel, RooHistConstraint, RooIntegralMorph, RooJeffreysPrior, RooJohnson, RooKeysPdf, RooLagrangianMorphFunc, RooLandau, RooLegacyExpPoly, RooLognormal, RooMomentMorph, RooMomentMorphFunc, RooMomentMorphFuncND, RooMultiBinomial, RooNDKeysPdf, RooNonCPEigenDecay, RooNovosibirsk, RooParametricStepFunction, RooParamHistFunc, RooPoisson, RooPolynomial, RooPowerSum, RooSpline, RooStepFunction, RooTFnBinding, RooTFnPdfBinding, RooUnblindCPAsymVar, RooUnblindOffset, RooUnblindPrecision, RooUnblindUniform, RooUniform, RooVoigtian, RooAbsRealLValue, RooAbsTestStatistic, RooAddition, RooAddModel, RooAddPdf, RooBinSamplingPdf, RooBinWidthFunction, RooCachedPdf, RooCachedReal, RooChangeTracker, RooChi2Var, RooConstraintSum, RooConstVar, RooConvCoefVar, RooDerivative, RooEfficiency, RooEffProd, RooErrorVar, RooExtendedBinding, RooExtendedTerm, RooExtendPdf, RooFFTConvPdf, RooFirstMoment, RooFit::TestStatistics::RooRealL, RooFormulaVar, RooFracRemainder, RooGenericPdf, RooHistFunc, RooHistPdf, RooLinearCombination, RooLinearVar, RooMoment, RooMultiVarGaussian, RooNLLVar, RooNumCdf, RooNumConvolution, RooNumConvPdf, RooNumRunningInt, RooPolyFunc, RooPolyVar, RooProdPdf, RooProduct, RooProfileLL, RooProjectedPdf, RooPullVar, RooRangeBoolean, RooRatio, RooRealIntegral, RooRealMPFE, RooRealSumFunc, RooRealSumPdf, RooRealVar, RooRecursiveFraction, RooResolutionModel, RooSecondMoment, RooSimultaneous, RooTruthModel, RooWrapperPdf, RooXYChi2Var, RooLegendre, RooNonCentralChiSquare, and RooSpHarmonic.

◆ StreamerNVirtual()

void RooAbsReal::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b )

inline

Definition at line 558 of file RooAbsReal.h.

◆ syncCache()

void RooAbsReal::syncCache ( const RooArgSet * set = nullptr )

inlineoverrideprotectedvirtual

Implements RooAbsArg.

Reimplemented in RooErrorVar.

Definition at line 463 of file RooAbsReal.h.

◆ traceEval()

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

protected

Calculate current value of object, with error tracing wrapper.

Definition at line 317 of file RooAbsReal.cxx.

◆ writeToStream()

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

overridevirtual

Write object contents to stream (dummy for now)

Implements RooAbsArg.

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

Definition at line 434 of file RooAbsReal.cxx.

Friends And Related Symbol Documentation

◆ AddCacheElem

friend class AddCacheElem

friend

Definition at line 414 of file RooAbsReal.h.

◆ BatchInterfaceAccessor

friend class BatchInterfaceAccessor

friend

Definition at line 406 of file RooAbsReal.h.

◆ RooAddHelpers

friend class RooAddHelpers

friend

Definition at line 411 of file RooAbsReal.h.

◆ RooAddModel

friend class RooAddModel

friend

Definition at line 413 of file RooAbsReal.h.

◆ RooAddPdf

friend class RooAddPdf

friend

Definition at line 412 of file RooAbsReal.h.

◆ RooFit::EvalContext

friend class RooFit::EvalContext

friend

Definition at line 415 of file RooAbsReal.h.

◆ RooRealBinding

friend class RooRealBinding

friend

Definition at line 408 of file RooAbsReal.h.

◆ RooRealSumFunc

friend class RooRealSumFunc

friend

Definition at line 410 of file RooAbsReal.h.

◆ RooRealSumPdf

friend class RooRealSumPdf

friend

Definition at line 409 of file RooAbsReal.h.

◆ RooVectorDataStore

friend class RooVectorDataStore

friend

Definition at line 407 of file RooAbsReal.h.

Member Data Documentation

◆ _evalErrorCount

Int_t RooAbsReal::_evalErrorCount = 0

staticprotected

Definition at line 554 of file RooAbsReal.h.

◆ _evalErrorList

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

staticprotected

Definition at line 553 of file RooAbsReal.h.

◆ _evalErrorMode

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

staticprotected

Definition at line 552 of file RooAbsReal.h.

◆ _forceNumInt

bool RooAbsReal::_forceNumInt = false

protected

Force numerical integration if flag set.

Definition at line 546 of file RooAbsReal.h.

◆ _globalSelectComp

bool RooAbsReal::_globalSelectComp = false

staticprotected

Definition at line 555 of file RooAbsReal.h.

◆ _hideOffset

bool RooAbsReal::_hideOffset = true

staticprotected

Offset hiding flag.

Definition at line 556 of file RooAbsReal.h.

◆ _label

TString RooAbsReal::_label

protected

Plot label for objects value.

Definition at line 545 of file RooAbsReal.h.

◆ _lastNormSetId

RooFit::UniqueId<RooArgSet>::Value_t RooAbsReal::_lastNormSetId = RooFit::UniqueId<RooArgSet>::nullval

mutableprotected

Component selection flag for RooAbsPdf::plotCompOn.

!

Definition at line 550 of file RooAbsReal.h.

◆ _plotBins

Int_t RooAbsReal::_plotBins = 100

protected

Number of plot bins.

Definition at line 542 of file RooAbsReal.h.

◆ _plotMax

double RooAbsReal::_plotMax = 0.0

protected

Maximum of plot range.

Definition at line 541 of file RooAbsReal.h.

◆ _plotMin

double RooAbsReal::_plotMin = 0.0

protected

Minimum of plot range.

Definition at line 540 of file RooAbsReal.h.

◆ _selectComp

bool RooAbsReal::_selectComp = true

protected

A buffer for reading values from trees.

Definition at line 549 of file RooAbsReal.h.

◆ _specIntegratorConfig

std::unique_ptr<RooNumIntConfig> RooAbsReal::_specIntegratorConfig

protected

Definition at line 547 of file RooAbsReal.h.

◆ _treeReadBuffer

std::unique_ptr<TreeReadBuffer> RooAbsReal::_treeReadBuffer

protected

Definition at line 548 of file RooAbsReal.h.

◆ _unit

TString RooAbsReal::_unit

protected

Unit for objects value.

Definition at line 544 of file RooAbsReal.h.

◆ _value

double RooAbsReal::_value = 0.0

mutableprotected

Cache for current value of object.

Definition at line 543 of file RooAbsReal.h.

Libraries for RooAbsReal:

[legend]

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-v632/rootspi/rdoc/v632_TMP/pyzdoc/_roofit.pyzdoc

PyROOT

Classes

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Static Protected Attributes

Private Member Functions

Friends

Additional Inherited Members

Member Typedef Documentation

◆ EvalErrorIter

◆ value_type

Member Enumeration Documentation

◆ ErrorLoggingMode

◆ ScaleType

Constructor & Destructor Documentation

◆ RooAbsReal() [1/4]

◆ RooAbsReal() [2/4]

◆ RooAbsReal() [3/4]

◆ RooAbsReal() [4/4]

◆ ~RooAbsReal()

Member Function Documentation

◆ _DEBUG_getVal()

◆ analyticalIntegral()

◆ analyticalIntegralWN()

◆ asTF()

◆ attachToTree()

◆ attachToVStore()

◆ binBoundaries()

◆ bindVars()

◆ buildCallToAnalyticIntegral()

◆ chi2FitTo() [1/4]

◆ chi2FitTo() [2/4]

◆ chi2FitTo() [3/4]

PyROOT

◆ chi2FitTo() [4/4]

PyROOT

◆ Class()

◆ Class_Name()

◆ Class_Version()

◆ clearEvalErrorLog()

◆ copyCache()

◆ createChi2() [1/4]

PyROOT

◆ createChi2() [2/4]

◆ createChi2() [3/4]

◆ createChi2() [4/4]

◆ createFundamental()

◆ createHistogram() [1/3]

PyROOT

◆ createHistogram() [2/3]

◆ createHistogram() [3/3]

◆ createIntegral() [1/6]

◆ createIntegral() [2/6]

◆ createIntegral() [3/6]

◆ createIntegral() [4/6]

◆ createIntegral() [5/6]

PyROOT

◆ createIntegral() [6/6]

◆ createIntObj()

◆ createIntRI()

◆ createPlotProjection() [1/2]

◆ createPlotProjection() [2/2]

◆ createProfile()

◆ createRunningIntegral() [1/2]

◆ createRunningIntegral() [2/2]

PyROOT

◆ createScanRI()

◆ DeclFileName()

◆ defaultErrorLevel()

◆ defaultIntegratorConfig()

◆ derivative() [1/2]

◆ derivative() [2/2]

◆ doEval()

◆ enableOffsetting()

◆ evalErrorIter()

◆ evalErrorLoggingMode()