128 return RooAbsReal::plotOn(frame,arg1,arg2,arg3,arg4,arg5,arg6,arg7,arg8,arg9,arg10) ;
207 const RooArgSet* normSet =
nullptr)
const;
252 virtual void printValue(std::ostream& os)
const ;
364 template<
class Minimizer>
367 template<
class Minimizer>
#define ClassDef(name, id)
static void indent(ostringstream &buf, int indent_level)
RooAbsAnaConvPdf is the base class for PDFs that represent a physics model that can be analytically c...
RooAbsArg is the common abstract base class for objects that represent a value and a "shape" in RooFi...
virtual void operModeHook()
RooAbsCacheElement is the abstract base class for objects to be stored in RooAbsCache cache manager o...
RooAbsCollection is an abstract container object that can hold multiple RooAbsArg objects.
RooAbsData is the common abstract base class for binned and unbinned datasets.
RooAbsGenContext is the abstract base class for generator contexts of RooAbsPdf objects.
Normalization set with for above integral.
virtual ~CacheElem()
Destructor of normalization cache element.
virtual RooArgList containedArgs(Action)
CacheElem(RooAbsReal &norm)
RooAbsGenContext * _genContext
GenSpec(const GenSpec &other)
GenSpec * prepareMultiGen(const RooArgSet &whatVars, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none())
Prepare GenSpec configuration object for efficient generation of multiple datasets from identical spe...
RooSpan< const double > getLogValBatch(std::size_t begin, std::size_t batchSize, const RooArgSet *normSet=nullptr) const
RooObjCacheManager _normMgr
Double_t getNorm(const RooArgSet &nset) const
Get normalisation term needed to normalise the raw values returned by getVal().
virtual void generateEvent(Int_t code)
Interface for generation of an event using the algorithm corresponding to the specified code.
virtual ~RooAbsPdf()
Destructor.
void logBatchComputationErrors(RooSpan< const double > &outputs, std::size_t begin) const
Scan through outputs and fix+log all nans and negative values.
RooSpan< const double > getLogProbabilities(RooBatchCompute::RunContext &evalData, const RooArgSet *normSet=nullptr) const
Compute the log-likelihoods for all events in the requested batch.
RooSpan< const double > getValues(RooBatchCompute::RunContext &evalData, const RooArgSet *normSet) const
Compute batch of values for given input data, and normalise by integrating over the observables in no...
void setGeneratorConfig()
Remove the specialized numeric MC generator configuration associated with this object.
virtual void resetErrorCounters(Int_t resetValue=10)
Reset error counter to given value, limiting the number of future error messages for this pdf to 'res...
virtual RooAbsReal * createChi2(RooDataHist &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
Create a from a histogram and this function.
virtual RooFitResult * chi2FitTo(RooDataHist &data, const RooLinkedList &cmdList)
Calls RooAbsPdf::createChi2(RooDataSet& data, const RooLinkedList& cmdList) and returns fit result.
static int verboseEval()
Return global level of verbosity for p.d.f. evaluations.
Bool_t traceEvalPdf(Double_t value) const
Check that passed value is positive and not 'not-a-number'.
virtual RooAbsReal * createNLL(RooAbsData &data, const RooLinkedList &cmdList)
Construct representation of -log(L) of PDFwith given dataset.
virtual RooAbsGenContext * genContext(const RooArgSet &vars, const RooDataSet *prototype=0, const RooArgSet *auxProto=0, Bool_t verbose=kFALSE) const
Interface function to create a generator context from a p.d.f.
RooAbsReal * createScanCdf(const RooArgSet &iset, const RooArgSet &nset, Int_t numScanBins, Int_t intOrder)
TString _normRange
MC generator configuration specific for this object.
void setNormRange(const char *rangeName)
const RooAbsReal * getNormIntegral(const RooArgSet &nset) const
virtual RooDataHist * generateBinned(const RooArgSet &whatVars, Double_t nEvents, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none()) const
As RooAbsPdf::generateBinned(const RooArgSet&, const RooCmdArg&,const RooCmdArg&, const RooCmdArg&,...
RooArgSet const * _normSet
Normalization integral (owned by _normMgr)
virtual Int_t getGenerator(const RooArgSet &directVars, RooArgSet &generateVars, Bool_t staticInitOK=kTRUE) const
Load generatedVars with the subset of directVars that we can generate events for, and return a code t...
RooNumGenConfig * specialGeneratorConfig() const
Returns the specialized integrator configuration for this RooAbsReal.
Bool_t canBeExtended() const
If true, PDF can provide extended likelihood term.
virtual Bool_t selfNormalized() const
Shows if a PDF is self-normalized, which means that no attempt is made to add a normalization term.
virtual void printMultiline(std::ostream &os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const
Print multi line detailed information of this RooAbsPdf.
Double_t analyticalIntegralWN(Int_t code, const RooArgSet *normSet, const char *rangeName=0) const
Analytical integral with normalization (see RooAbsReal::analyticalIntegralWN() for further informatio...
RooDataSet * generate(const RooArgSet &whatVars, Int_t nEvents, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none())
See RooAbsPdf::generate(const RooArgSet&,const RooCmdArg&,const RooCmdArg&,const RooCmdArg&,...
virtual RooAbsGenContext * autoGenContext(const RooArgSet &vars, const RooDataSet *prototype=0, const RooArgSet *auxProto=0, Bool_t verbose=kFALSE, Bool_t autoBinned=kTRUE, const char *binnedTag="") const
virtual Double_t expectedEvents(const RooArgSet &nset) const
Return expected number of events to be used in calculation of extended likelihood.
virtual Double_t extendedTerm(Double_t observedEvents, const RooArgSet *nset=0) const
Return the extended likelihood term ( ) of this PDF for the given number of observed events.
virtual void printValue(std::ostream &os) const
Print value of p.d.f, also print normalization integral that was last used, if any.
virtual RooArgSet * getAllConstraints(const RooArgSet &observables, RooArgSet &constrainedParams, Bool_t stripDisconnected=kTRUE) const
This helper function finds and collects all constraints terms of all component p.d....
virtual RooFitResult * fitTo(RooAbsData &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
Fit PDF to given dataset.
virtual Bool_t syncNormalization(const RooArgSet *dset, Bool_t adjustProxies=kTRUE) const
Verify that the normalization integral cached with this PDF is valid for given set of normalization o...
int calculateAsymptoticCorrectedCovMatrix(Minimizer &minimizer, RooAbsData const &data)
virtual Double_t getValV(const RooArgSet *set=0) const
Return current value, normalized by integrating over the observables in nset.
virtual RooArgSet * getConstraints(const RooArgSet &, RooArgSet &, Bool_t) const
virtual RooPlot * paramOn(RooPlot *frame, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
Add a box with parameter values (and errors) to the specified frame.
void setTraceCounter(Int_t value, Bool_t allNodes=kFALSE)
Reset trace counter to given value, limiting the number of future trace messages for this pdf to 'val...
const char * normRange() const
RooAbsReal * createCdf(const RooArgSet &iset, const RooArgSet &nset=RooArgSet())
Create a cumulative distribution function of this p.d.f in terms of the observables listed in iset.
virtual const RooAbsReal * getNormObj(const RooArgSet *set, const RooArgSet *iset, const TNamed *rangeName=0) const
Return pointer to RooAbsReal object that implements calculation of integral over observables iset in ...
virtual Double_t getLogVal(const RooArgSet *set=0) const
Return the log of the current value with given normalization An error message is printed if the argum...
Int_t * randomizeProtoOrder(Int_t nProto, Int_t nGen, Bool_t resample=kFALSE) const
Return lookup table with randomized access order for prototype events, given nProto prototype data ev...
virtual Double_t expectedEvents(const RooArgSet *nset) const
Return expected number of events from this p.d.f for use in extended likelihood calculations.
Bool_t mustBeExtended() const
If true PDF must provide extended likelihood term.
void setNormRangeOverride(const char *rangeName)
virtual RooDataSet * generateSimGlobal(const RooArgSet &whatVars, Int_t nEvents)
Special generator interface for generation of 'global observables' – for RooStats tools.
virtual Bool_t isDirectGenSafe(const RooAbsArg &arg) const
Check if given observable can be safely generated using the pdfs internal generator mechanism (if tha...
const RooNumGenConfig * getGeneratorConfig() const
Return the numeric MC generator configuration used for this object.
virtual void initGenerator(Int_t code)
Interface for one-time initialization to setup the generator for the specified code.
virtual ExtendMode extendMode() const
Returns ability of PDF to provide extended likelihood terms.
int calculateSumW2CorrectedCovMatrix(Minimizer &minimizer, RooAbsReal const &nll) const
RooAbsPdf()
Default constructor.
virtual RooAbsGenContext * binnedGenContext(const RooArgSet &vars, Bool_t verbose=kFALSE) const
Return a binned generator context.
static RooNumGenConfig * defaultGeneratorConfig()
Returns the default numeric MC generator configuration for all RooAbsReals.
RooNumGenConfig * _specGeneratorConfig
friend class RooAddGenContextOrig
static TString _normRangeOverride
static Int_t _verboseEval
virtual Bool_t redirectServersHook(const RooAbsCollection &, Bool_t, Bool_t, Bool_t)
Function that is called at the end of redirectServers().
virtual RooAbsPdf * createProjection(const RooArgSet &iset)
Return a p.d.f that represent a projection of this p.d.f integrated over given observables.
virtual RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none(), const RooCmdArg &arg9=RooCmdArg::none(), const RooCmdArg &arg10=RooCmdArg::none()) const
Helper calling plotOn(RooPlot*, RooLinkedList&) const.
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
virtual RooAbsReal * createChi2(RooDataHist &data, const RooLinkedList &cmdList)
Create a variable from a histogram and this function.
virtual RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1=RooCmdArg(), const RooCmdArg &arg2=RooCmdArg(), const RooCmdArg &arg3=RooCmdArg(), const RooCmdArg &arg4=RooCmdArg(), const RooCmdArg &arg5=RooCmdArg(), const RooCmdArg &arg6=RooCmdArg(), const RooCmdArg &arg7=RooCmdArg(), const RooCmdArg &arg8=RooCmdArg(), const RooCmdArg &arg9=RooCmdArg(), const RooCmdArg &arg10=RooCmdArg()) const
Plot (project) PDF on specified frame.
virtual Double_t maxVal(Int_t code) const
Return maximum value for set of observables identified by code assigned in getMaxVal.
virtual RooFitResult * chi2FitTo(RooDataHist &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none())
Perform a fit to given histogram.
RooAddGenContext is an efficient implementation of the generator context specific for RooAddPdf PDFs.
RooArgList is a container object that can hold multiple RooAbsArg objects.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
RooCategory is an object to represent discrete states.
RooCmdArg is a named container for two doubles, two integers two object points and three string point...
static const RooCmdArg & none()
Return reference to null argument.
RooConvGenContext is an efficient implementation of the generator context specific for RooAbsAnaConvP...
The RooDataHist is a container class to hold N-dimensional binned data.
RooDataSet is a container class to hold unbinned data.
RooEffGenContext is a specialized generator context for p.d.fs represented by class RooEffProd,...
RooExtendPdf is a wrapper around an existing PDF that adds a parameteric extended likelihood term to ...
RooFitResult is a container class to hold the input and output of a PDF fit to a dataset.
RooLinkedList is an collection class for internal use, storing a collection of RooAbsArg pointers in ...
RooMCStudy is a helper class to facilitate Monte Carlo studies such as 'goodness-of-fit' studies,...
RooNumGenConfig holds the configuration parameters of the various numeric integrators used by RooReal...
Class RooObjCacheManager is an implementation of class RooCacheManager<RooAbsCacheElement> and specia...
A RooPlot is a plot frame and a container for graphics objects within that frame.
RooProdGenContext is an efficient implementation of the generator context specific for RooProdPdf PDF...
RooProdPdf is an efficient implementation of a product of PDFs of the form.
RooRealIntegral performs hybrid numerical/analytical integrals of RooAbsReal objects.
RooSimGenContext is an efficient implementation of the generator context specific for RooSimultaneous...
RooSimSplitGenContext is an efficient implementation of the generator context specific for RooSimulta...
RooSimultaneous facilitates simultaneous fitting of multiple PDFs to subsets of a given dataset.
A simple container to hold a batch of data values.
1-D histogram with a float per channel (see TH1 documentation)}
2-D histogram with a float per channel (see TH1 documentation)}
The TNamed class is the base class for all named ROOT classes.
A Pave (see TPave) with text, lines or/and boxes inside.
const char * Data() const
RooCmdArg NumEvents(Int_t numEvents)
Namespace for dispatching RooFit computations to various backends.
This struct enables passing computation data around between elements of a computation graph.