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ROOT 6.08/07 Reference Guide |
RooAbsPdf is the abstract interface for all probability density functions The class provides hybrid analytical/numerical normalization for its implementations, error tracing and a MC generator interface.
A minimal implementation of a PDF class derived from RooAbsPdf should overload the evaluate() function. This functions should return PDFs value.
Although the normalization of a PDF is an integral part of a probability density function, normalization is treated separately in RooAbsPdf. The reason is that a RooAbsPdf object is more than a PDF: it can be a building block for a more complex, composite PDF if any of its variables are functions instead of variables. In such cases the normalization of the composite may not be simply the integral over the dependents of the top level PDF as these are functions with potentially non-trivial Jacobian terms themselves. Therefore
–> No explicit attempt should be made to normalize the functions output in evaluate().**
In addition, RooAbsPdf objects do not have a static concept of what variables are parameters and what variables are dependents (which need to be integrated over for a correct PDF normalization). Instead the choice of normalization is always specified each time a normalized values is requested from the PDF via the getVal() method.
RooAbsPdf manages the entire normalization logic of each PDF with help of a RooRealIntegral object, which coordinates the integration of a given choice of normalization. By default, RooRealIntegral will perform a fully numeric integration of all dependents. However, PDFs can advertise one or more (partial) analytical integrals of their function, and these will be used by RooRealIntegral, if it determines that this is safe (i.e. no hidden Jacobian terms, multiplication with other PDFs that have one or more dependents in commen etc)
To implement analytical integrals, two functions must be implemented. First,
Int_t getAnalyticalIntegral(const RooArgSet& integSet, RooArgSet& anaIntSet)
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. Second,
Double_t analyticalIntegral(Int_t code)
Implements the actual analytical integral(s) advertised by getAnalyticalIntegral. This functions will only be called with codes returned by getAnalyticalIntegral, except code zero.
The integration range for real each dependent to be integrated can be obtained from the dependents' proxy functions min() and max(). Never call these proxy functions for any proxy not known to be a dependent via the integration code. Doing so may be ill-defined, e.g. in case the proxy holds a function, and will trigger an assert. Integrated category dependents should always be summed over all of their states.
Any PDF dependent can be generated with the accept/reject method, but for certain PDFs more efficient methods may be implemented. To implement direct generation of one or more observables, two functions need to be implemented, similar to those for analytical integrals:
Int_t getGenerator(const RooArgSet& generateVars, RooArgSet& directVars)
and void generateEvent(Int_t code)
The first function advertises observables that can be generated, similar to the way analytical integrals are advertised. The second function implements the generator for the advertised observables
The generated dependent values should be store in the proxy objects. For this the assignment operator can be used (i.e. xProxy = 3.0 ). Never call assign to any proxy not known to be a dependent via the generation code. Doing so may be ill-defined, e.g. in case the proxy holds a function, and will trigger an assert
Definition at line 41 of file RooAbsPdf.h.
Classes | |
class | CacheElem |
Normalization set with for above integral. More... | |
class | GenSpec |
Public Member Functions | |
RooAbsPdf () | |
Default constructor. More... | |
RooAbsPdf (const char *name, const char *title=0) | |
Constructor with name and title only. More... | |
RooAbsPdf (const char *name, const char *title, Double_t minVal, Double_t maxVal) | |
Constructor with name, title, and plot range. More... | |
virtual | ~RooAbsPdf () |
Destructor. More... | |
Double_t | analyticalIntegralWN (Int_t code, const RooArgSet *normSet, const char *rangeName=0) const |
Analytical integral with normalization (see RooAbsReal::analyticalIntegralWN() for further information) More... | |
virtual RooAbsGenContext * | autoGenContext (const RooArgSet &vars, const RooDataSet *prototype=0, const RooArgSet *auxProto=0, Bool_t verbose=kFALSE, Bool_t autoBinned=kTRUE, const char *binnedTag="") const |
virtual RooAbsGenContext * | binnedGenContext (const RooArgSet &vars, Bool_t verbose=kFALSE) const |
Return a binned generator context. More... | |
Bool_t | canBeExtended () const |
virtual RooFitResult * | chi2FitTo (RooDataHist &data, const RooLinkedList &cmdList) |
Internal back-end function to steer chi2 fits. More... | |
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. More... | |
RooAbsReal * | createCdf (const RooArgSet &iset, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) |
Create an object that represents the integral of the function over one or more observables listed in iset The actual integration calculation is only performed when the return object is evaluated. More... | |
virtual RooAbsReal * | createChi2 (RooDataHist &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) |
Create a chi-2 from a histogram and this function. More... | |
virtual RooAbsReal * | createChi2 (RooDataSet &data, const RooLinkedList &cmdList) |
Internal back-end function to create a chi^2 from a p.d.f. and a dataset. More... | |
virtual RooAbsReal * | createNLL (RooAbsData &data, const RooLinkedList &cmdList) |
Construct representation of -log(L) of PDFwith given dataset. More... | |
virtual RooAbsReal * | createNLL (RooAbsData &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) |
Construct representation of -log(L) of PDFwith given dataset. More... | |
virtual RooAbsPdf * | createProjection (const RooArgSet &iset) |
Return a p.d.f that represent a projection of this p.d.f integrated over given observables. More... | |
RooAbsReal * | createScanCdf (const RooArgSet &iset, const RooArgSet &nset, Int_t numScanBins, Int_t intOrder) |
virtual Double_t | expectedEvents (const RooArgSet *nset) const |
Return expected number of events from this p.d.f for use in extended likelihood calculations. More... | |
virtual Double_t | expectedEvents (const RooArgSet &nset) const |
virtual Double_t | extendedTerm (Double_t observedEvents, const RooArgSet *nset=0) const |
Returned the extended likelihood term (Nexpect - Nobserved*log(NExpected) of this PDF for the given number of observed events. More... | |
virtual ExtendMode | extendMode () const |
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. More... | |
virtual RooFitResult * | fitTo (RooAbsData &data, const RooLinkedList &cmdList) |
Fit PDF to given dataset. More... | |
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. More... | |
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()) |
Generate a new dataset containing the specified variables with events sampled from our distribution. More... | |
RooDataSet * | generate (const RooArgSet &whatVars, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none()) |
Generate a new dataset containing the specified variables with events sampled from our distribution. More... | |
RooDataSet * | generate (const RooArgSet &whatVars, Double_t nEvents=0, Bool_t verbose=kFALSE, Bool_t autoBinned=kTRUE, const char *binnedTag="", Bool_t expectedData=kFALSE, Bool_t extended=kFALSE) const |
Generate a new dataset containing the specified variables with events sampled from our distribution. More... | |
RooDataSet * | generate (const RooArgSet &whatVars, const RooDataSet &prototype, Int_t nEvents=0, Bool_t verbose=kFALSE, Bool_t randProtoOrder=kFALSE, Bool_t resampleProto=kFALSE) const |
Generate a new dataset with values of the whatVars variables sampled from our distribution. More... | |
RooDataSet * | generate (GenSpec &) const |
Generate data according to a pre-configured specification created by RooAbsPdf::prepareMultiGen(). More... | |
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()) |
Generate a new dataset containing the specified variables with events sampled from our distribution. More... | |
virtual RooDataHist * | generateBinned (const RooArgSet &whatVars, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none()) |
Generate a new dataset containing the specified variables with events sampled from our distribution. More... | |
virtual RooDataHist * | generateBinned (const RooArgSet &whatVars, Double_t nEvents, Bool_t expectedData=kFALSE, Bool_t extended=kFALSE) const |
Generate a new dataset containing the specified variables with events sampled from our distribution. More... | |
virtual void | generateEvent (Int_t code) |
Interface for generation of anan event using the algorithm corresponding to the specified code. More... | |
virtual RooDataSet * | generateSimGlobal (const RooArgSet &whatVars, Int_t nEvents) |
Special generator interface for generation of 'global observables' – for RooStats tools. More... | |
virtual RooArgSet * | getAllConstraints (const RooArgSet &observables, RooArgSet &constrainedParams, Bool_t stripDisconnected=kTRUE) const |
This helper function finds and collects all constraints terms of all coponent p.d.f.s and returns a RooArgSet with all those terms. More... | |
virtual RooArgSet * | getConstraints (const RooArgSet &, RooArgSet &, Bool_t) const |
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 that specifies the generator algorithm we will use. More... | |
const RooNumGenConfig * | getGeneratorConfig () const |
Return the numeric MC generator configuration used for this object. More... | |
virtual Double_t | getLogVal (const RooArgSet *set=0) const |
Return the log of the current value with given normalization An error message is printed if the argument of the log is negative. More... | |
Double_t | getNorm (const RooArgSet &nset) const |
virtual Double_t | getNorm (const RooArgSet *set=0) const |
Return the integral of this PDF over all observables listed in 'nset'. More... | |
const RooAbsReal * | getNormIntegral (const RooArgSet &nset) const |
virtual const RooAbsReal * | getNormObj (const RooArgSet *set, const RooArgSet *iset, const TNamed *rangeName=0) const |
Return pointer to RooAbsReal object that implements calculation of integral over observables iset in range rangeName, optionally taking the integrand normalized over observables nset. More... | |
virtual Double_t | getValV (const RooArgSet *set=0) const |
Return current value, normalizated by integrating over the observables in 'nset'. More... | |
virtual void | initGenerator (Int_t code) |
Interface for one-time initialization to setup the generator for the specified code. More... | |
virtual Bool_t | isDirectGenSafe (const RooAbsArg &arg) const |
Check if given observable can be safely generated using the pdfs internal generator mechanism (if that existsP). More... | |
Bool_t | mustBeExtended () const |
const char * | normRange () 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. More... | |
virtual RooPlot * | paramOn (RooPlot *frame, const RooAbsData *data, const char *label="", Int_t sigDigits=2, Option_t *options="NELU", Double_t xmin=0.50, Double_t xmax=0.99, Double_t ymax=0.95) |
OBSOLETE FUNCTION PROVIDED FOR BACKWARD COMPATIBILITY. More... | |
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 |
Plot (project) PDF on specified frame. More... | |
virtual RooPlot * | plotOn (RooPlot *frame, RooLinkedList &cmdList) const |
Plot (project) PDF on specified frame. More... | |
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 idetical specification This method does not perform any generation. More... | |
virtual void | printMultiline (std::ostream &os, Int_t contents, Bool_t verbose=kFALSE, TString indent="") const |
Print multi line detailed information of this RooAbsPdf. More... | |
virtual void | printValue (std::ostream &os) const |
Print value of p.d.f, also print normalization integral that was last used, if any. More... | |
virtual void | resetErrorCounters (Int_t resetValue=10) |
Reset error counter to given value, limiting the number of future error messages for this pdf to 'resetValue'. More... | |
virtual Bool_t | selfNormalized () const |
void | setGeneratorConfig () |
Remove the specialized numeric MC generator configuration associated with this object. More... | |
void | setGeneratorConfig (const RooNumGenConfig &config) |
Set the given configuration as default numeric MC generator configuration for this object. More... | |
void | setNormRange (const char *rangeName) |
void | setNormRangeOverride (const char *rangeName) |
void | setTraceCounter (Int_t value, Bool_t allNodes=kFALSE) |
Reset trace counter to given value, limiting the number of future trace messages for this pdf to 'value'. More... | |
RooNumGenConfig * | specialGeneratorConfig () const |
Returns the specialized integrator configuration for this RooAbsReal. More... | |
RooNumGenConfig * | specialGeneratorConfig (Bool_t createOnTheFly) |
Returns the specialized integrator configuration for this RooAbsReal. More... | |
virtual Bool_t | traceEvalHook (Double_t value) const |
WVE 08/21/01 Probably obsolete now. More... | |
Bool_t | traceEvalPdf (Double_t value) const |
Check that passed value is positive and not 'not-a-number'. More... | |
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RooAbsReal () | |
coverity[UNINIT_CTOR] Default constructor More... | |
RooAbsReal (const char *name, const char *title, const char *unit="") | |
Constructor with unit label. More... | |
RooAbsReal (const char *name, const char *title, Double_t minVal, Double_t maxVal, const char *unit="") | |
Constructor with plot range and unit label. More... | |
RooAbsReal (const RooAbsReal &other, const char *name=0) | |
coverity[UNINIT_CTOR] Copy constructor More... | |
virtual | ~RooAbsReal () |
Destructor. More... | |
virtual Double_t | analyticalIntegral (Int_t code, const char *rangeName=0) const |
Implements the actual analytical integral(s) advertised by getAnalyticalIntegral. More... | |
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. More... | |
virtual std::list< Double_t > * | binBoundaries (RooAbsRealLValue &, Double_t, Double_t) const |
RooAbsFunc * | bindVars (const RooArgSet &vars, const RooArgSet *nset=0, Bool_t clipInvalid=kFALSE) const |
Create an interface adaptor f(vars) that binds us to the specified variables (in arbitrary order). More... | |
virtual RooFitResult * | chi2FitTo (RooDataHist &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) |
Perform a chi^2 fit to given histogram By default the fit is executed through the MINUIT commands MIGRAD, HESSE in succession. More... | |
virtual RooFitResult * | chi2FitTo (RooDataSet &xydata, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) |
Create a chi-2 from a series of x and y value stored in a dataset. More... | |
virtual RooFitResult * | chi2FitTo (RooDataSet &xydata, const RooLinkedList &cmdList) |
Internal back-end function to steer chi2 fits. More... | |
virtual RooAbsReal * | createChi2 (RooDataHist &data, const RooLinkedList &cmdList) |
Internal back-end function to create a chi2. More... | |
virtual RooAbsReal * | createChi2 (RooDataSet &data, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) |
Create a chi-2 from a series of x and y value stored in a dataset. More... | |
RooAbsArg * | createFundamental (const char *newname=0) const |
Create a RooRealVar fundamental object with our properties. More... | |
TH1 * | createHistogram (const char *varNameList, Int_t xbins=0, Int_t ybins=0, Int_t zbins=0) const |
Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this function for the variables with given names The number of bins can be controlled using the [xyz]bins parameters. More... | |
TH1 * | createHistogram (const char *name, const RooAbsRealLValue &xvar, RooLinkedList &argList) const |
Internal method implementing createHistogram. More... | |
TH1 * | createHistogram (const char *name, const RooAbsRealLValue &xvar, const RooCmdArg &arg1=RooCmdArg::none(), const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) const |
Create and fill a ROOT histogram TH1,TH2 or TH3 with the values of this function. More... | |
RooAbsReal * | createIntegral (const RooArgSet &iset, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) const |
Create an object that represents the integral of the function over one or more observables listed in iset The actual integration calculation is only performed when the return object is evaluated. More... | |
RooAbsReal * | createIntegral (const RooArgSet &iset, const char *rangeName) const |
RooAbsReal * | createIntegral (const RooArgSet &iset, const RooArgSet &nset, const char *rangeName=0) const |
RooAbsReal * | createIntegral (const RooArgSet &iset, const RooArgSet &nset, const RooNumIntConfig &cfg, const char *rangeName=0) const |
RooAbsReal * | createIntegral (const RooArgSet &iset, const RooNumIntConfig &cfg, const char *rangeName=0) const |
virtual RooAbsReal * | createIntegral (const RooArgSet &iset, const RooArgSet *nset=0, const RooNumIntConfig *cfg=0, const char *rangeName=0) const |
Create an object that represents the integral of the function over one or more observables listed in iset The actual integration calculation is only performed when the return object is evaluated. More... | |
RooAbsReal * | createIntRI (const RooArgSet &iset, const RooArgSet &nset=RooArgSet()) |
Utility function for createRunningIntegral that construct an object implementing the standard (analytical) integration technique for calculating the running integral. More... | |
const RooAbsReal * | createPlotProjection (const RooArgSet &depVars, const RooArgSet &projVars) const |
Utility function for plotOn() that creates a projection of a function or p.d.f to be plotted on a RooPlot. More... | |
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. More... | |
const RooAbsReal * | createPlotProjection (const RooArgSet &dependentVars, const RooArgSet *projectedVars, RooArgSet *&cloneSet, const char *rangeName=0, const RooArgSet *condObs=0) const |
Utility function for plotOn() that creates a projection of a function or p.d.f to be plotted on a RooPlot. More... | |
virtual RooAbsReal * | createProfile (const RooArgSet ¶msOfInterest) |
Create a RooProfileLL object that eliminates all nuisance parameters in the present function. More... | |
RooAbsReal * | createRunningIntegral (const RooArgSet &iset, const RooArgSet &nset=RooArgSet()) |
Create a running integral over this function, i.e. More... | |
RooAbsReal * | createRunningIntegral (const RooArgSet &iset, const RooCmdArg &arg1, const RooCmdArg &arg2=RooCmdArg::none(), const RooCmdArg &arg3=RooCmdArg::none(), const RooCmdArg &arg4=RooCmdArg::none(), const RooCmdArg &arg5=RooCmdArg::none(), const RooCmdArg &arg6=RooCmdArg::none(), const RooCmdArg &arg7=RooCmdArg::none(), const RooCmdArg &arg8=RooCmdArg::none()) |
Create an object that represents the running integral of the function over one or more observables listed in iset, i.e. More... | |
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. More... | |
virtual Double_t | defaultErrorLevel () const |
RooDerivative * | derivative (RooRealVar &obs, Int_t order=1, Double_t eps=0.001) |
Return function representing first, second or third order derivative of this function. More... | |
RooDerivative * | derivative (RooRealVar &obs, const RooArgSet &normSet, Int_t order, Double_t eps=0.001) |
Return function representing first, second or third order derivative of this function. More... | |
virtual void | enableOffsetting (Bool_t) |
RooDataHist * | fillDataHist (RooDataHist *hist, const RooArgSet *nset, Double_t scaleFactor, Bool_t correctForBinVolume=kFALSE, Bool_t showProgress=kFALSE) const |
Fill a RooDataHist with values sampled from this function at the bin centers. More... | |
TH1 * | fillHistogram (TH1 *hist, const RooArgList &plotVars, Double_t scaleFactor=1, const RooArgSet *projectedVars=0, Bool_t scaling=kTRUE, const RooArgSet *condObs=0, Bool_t setError=kTRUE) const |
Fill the ROOT histogram 'hist' with values sampled from this function at the bin centers. More... | |
Double_t | findRoot (RooRealVar &x, Double_t xmin, Double_t xmax, Double_t yval) |
Return value of x (in range xmin,xmax) at which function equals yval. More... | |
virtual void | fixAddCoefNormalization (const RooArgSet &addNormSet=RooArgSet(), Bool_t force=kTRUE) |
Fix the interpretation of the coefficient of any RooAddPdf component in the expression tree headed by this object to the given set of observables. More... | |
virtual void | fixAddCoefRange (const char *rangeName=0, Bool_t force=kTRUE) |
Fix the interpretation of the coefficient of any RooAddPdf component in the expression tree headed by this object to the given set of observables. More... | |
virtual Bool_t | forceAnalyticalInt (const RooAbsArg &) const |
virtual void | forceNumInt (Bool_t flag=kTRUE) |
RooFunctor * | functor (const RooArgList &obs, const RooArgList &pars=RooArgList(), const RooArgSet &nset=RooArgSet()) const |
Return a RooFunctor object bound to this RooAbsReal with given definition of observables and parameters. More... | |
virtual Int_t | getAnalyticalIntegral (RooArgSet &allVars, RooArgSet &analVars, const char *rangeName=0) const |
Interface function getAnalyticalIntergral advertises the analytical integrals that are supported. More... | |
virtual Int_t | getAnalyticalIntegralWN (RooArgSet &allVars, RooArgSet &analVars, const RooArgSet *normSet, const char *rangeName=0) const |
Variant of getAnalyticalIntegral that is also passed the normalization set that should be applied to the integrand of which the integral is request. More... | |
Bool_t | getForceNumInt () const |
const RooNumIntConfig * | getIntegratorConfig () const |
Return the numeric integration configuration used for this object. More... | |
RooNumIntConfig * | getIntegratorConfig () |
Return the numeric integration configuration used for this object. More... | |
virtual Int_t | getMaxVal (const RooArgSet &vars) const |
Advertise capability to determine maximum value of function for given set of observables. More... | |
const char * | getPlotLabel () const |
Get the label associated with the variable. More... | |
Double_t | getPropagatedError (const RooFitResult &fr) |
Calculate error on self by propagated errors on parameters with correlations as given by fit result The linearly propagated error is calculated as follows T error(x) = F_a(x) * Corr(a,a') F_a'(x) More... | |
TString | getTitle (Bool_t appendUnit=kFALSE) const |
Return this variable's title string. More... | |
const Text_t * | getUnit () const |
Double_t | getVal (const RooArgSet *set=0) const |
Double_t | getVal (const RooArgSet &set) const |
RooGenFunction * | iGenFunction (RooRealVar &x, const RooArgSet &nset=RooArgSet()) |
RooMultiGenFunction * | iGenFunction (const RooArgSet &observables, const RooArgSet &nset=RooArgSet()) |
virtual Bool_t | isBinnedDistribution (const RooArgSet &) const |
virtual Bool_t | isIdentical (const RooAbsArg &other, Bool_t assumeSameType=kFALSE) |
virtual Bool_t | isOffsetting () const |
void | logEvalError (const char *message, const char *serverValueString=0) const |
Log evaluation error message. More... | |
virtual Double_t | maxVal (Int_t code) const |
Return maximum value for set of observables identified by code assigned in getMaxVal. More... | |
RooAbsMoment * | mean (RooRealVar &obs) |
RooAbsMoment * | mean (RooRealVar &obs, const RooArgSet &nset) |
virtual Int_t | minTrialSamples (const RooArgSet &) const |
RooAbsMoment * | moment (RooRealVar &obs, Int_t order, Bool_t central, Bool_t takeRoot) |
Return function representing moment of function of given order. More... | |
RooAbsMoment * | moment (RooRealVar &obs, const RooArgSet &normObs, Int_t order, Bool_t central, Bool_t takeRoot, Bool_t intNormObs) |
Return function representing moment of p.d.f (normalized w.r.t given observables) of given order. More... | |
virtual Double_t | offset () const |
Bool_t | operator== (Double_t value) const |
Equality operator comparing to a Double_t. More... | |
virtual Bool_t | operator== (const RooAbsArg &other) |
Equality operator when comparing to another RooAbsArg. More... | |
virtual std::list< Double_t > * | plotSamplingHint (RooAbsRealLValue &, Double_t, Double_t) const |
virtual RooPlot * | plotSliceOn (RooPlot *frame, const RooArgSet &sliceSet, Option_t *drawOptions="L", Double_t scaleFactor=1.0, ScaleType stype=Relative, const RooAbsData *projData=0) const |
OBSOLETE – RETAINED FOR BACKWARD COMPATIBILITY. Use the plotOn(frame,Slice(...)) instead. More... | |
virtual void | preferredObservableScanOrder (const RooArgSet &obs, RooArgSet &orderedObs) const |
Interface method for function objects to indicate their prefferred order of observables for scanning their values into a (multi-dimensional) histogram or RooDataSet. More... | |
virtual Bool_t | readFromStream (std::istream &is, Bool_t compact, Bool_t verbose=kFALSE) |
Read object contents from stream (dummy for now) More... | |
virtual Bool_t | setData (RooAbsData &, Bool_t=kTRUE) |
void | setIntegratorConfig () |
Remove the specialized numeric integration configuration associated with this object. More... | |
void | setIntegratorConfig (const RooNumIntConfig &config) |
Set the given integrator configuration as default numeric integration configuration for this object. More... | |
void | setParameterizeIntegral (const RooArgSet ¶mVars) |
void | setPlotLabel (const char *label) |
Set the label associated with this variable. More... | |
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. More... | |
RooNumIntConfig * | specialIntegratorConfig (Bool_t createOnTheFly) |
Returns the specialized integrator configuration for this RooAbsReal. More... | |
virtual void | writeToStream (std::ostream &os, Bool_t compact) const |
Write object contents to stream (dummy for now) More... | |
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RooAbsArg () | |
Default constructor. More... | |
RooAbsArg (const char *name, const char *title) | |
Create an object with the specified name and descriptive title. More... | |
RooAbsArg (const RooAbsArg &other, const char *name=0) | |
Copy constructor transfers all boolean and string properties of the original object. More... | |
virtual | ~RooAbsArg () |
Destructor. More... | |
Bool_t | addOwnedComponents (const RooArgSet &comps) |
Take ownership of the contents of 'comps'. More... | |
void | addParameters (RooArgSet ¶ms, const RooArgSet *nset=0, Bool_t stripDisconnected=kTRUE) const |
INTERNAL helper function for getParameters() More... | |
void | addServer (RooAbsArg &server, Bool_t valueProp=kTRUE, Bool_t shapeProp=kFALSE) |
Register another RooAbsArg as a server to us, ie, declare that we depend on it. More... | |
void | addServerList (RooAbsCollection &serverList, Bool_t valueProp=kTRUE, Bool_t shapeProp=kFALSE) |
Register a list of RooAbsArg as servers to us by calls addServer() for each arg in the list. More... | |
const char * | aggregateCacheUniqueSuffix () const |
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. More... | |
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. More... | |
const std::set< std::string > & | attributes () const |
void | branchNodeServerList (RooAbsCollection *list, const RooAbsArg *arg=0, Bool_t recurseNonDerived=kFALSE) const |
Fill supplied list with all branch nodes of the arg tree starting with ourself as top node. More... | |
virtual const char * | cacheUniqueSuffix () const |
virtual CacheMode | canNodeBeCached () const |
void | changeServer (RooAbsArg &server, Bool_t valueProp, Bool_t shapeProp) |
Change dirty flag propagation mask for specified server. More... | |
Bool_t | checkDependents (const RooArgSet *nset) const |
virtual Bool_t | checkObservables (const RooArgSet *nset) const |
Overloadable function in which derived classes can implement consistency checks of the variables. More... | |
void | clearShapeDirty () const |
void | clearValueAndShapeDirty () const |
void | clearValueDirty () const |
TIterator * | clientIterator () const |
virtual TObject * | clone (const char *newname=0) const =0 |
virtual TObject * | Clone (const char *newname=0) const |
Make a clone of an object using the Streamer facility. More... | |
virtual RooAbsArg * | cloneTree (const char *newname=0) const |
Clone tree expression of objects. More... | |
Int_t | Compare (const TObject *other) const |
Utility function used by TCollection::Sort to compare contained TObjects We implement comparison by name, resulting in alphabetical sorting by object name. More... | |
virtual void | constOptimizeTestStatistic (ConstOpCode opcode, Bool_t doAlsoTrackingOpt=kTRUE) |
Interface function signaling a request to perform constant term optimization. More... | |
virtual Int_t | defaultPrintContents (Option_t *opt) const |
Define default contents to print. More... | |
Bool_t | dependentOverlaps (const RooAbsData *dset, const RooAbsArg &testArg) const |
Bool_t | dependentOverlaps (const RooArgSet *depList, const RooAbsArg &testArg) const |
Bool_t | dependsOn (const RooAbsCollection &serverList, const RooAbsArg *ignoreArg=0, Bool_t valueOnly=kFALSE) const |
Test whether we depend on (ie, are served by) any object in the specified collection. More... | |
Bool_t | dependsOn (const RooAbsArg &server, const RooAbsArg *ignoreArg=0, Bool_t valueOnly=kFALSE) const |
Test whether we depend on (ie, are served by) the specified object. More... | |
Bool_t | dependsOnValue (const RooAbsCollection &serverList, const RooAbsArg *ignoreArg=0) const |
Bool_t | dependsOnValue (const RooAbsArg &server, const RooAbsArg *ignoreArg=0) const |
RooExpensiveObjectCache & | expensiveObjectCache () const |
Bool_t | findConstantNodes (const RooArgSet &observables, RooArgSet &cacheList) |
Find branch nodes with all-constant parameters, and add them to the list of nodes that can be cached with a dataset in a test statistic calculation. More... | |
Bool_t | findConstantNodes (const RooArgSet &observables, RooArgSet &cacheList, RooLinkedList &processedNodes) |
Find branch nodes with all-constant parameters, and add them to the list of nodes that can be cached with a dataset in a test statistic calculation. More... | |
RooAbsArg * | findNewServer (const RooAbsCollection &newSet, Bool_t nameChange) const |
Find the new server in the specified set that matches the old server. More... | |
RooAbsArg * | findServer (const char *name) const |
RooAbsArg * | findServer (const RooAbsArg &arg) const |
RooAbsArg * | findServer (Int_t index) const |
Bool_t | getAttribute (const Text_t *name) const |
Check if a named attribute is set. By default, all attributes are unset. More... | |
RooAbsCache * | getCache (Int_t index) const |
Return registered cache object by index. More... | |
RooLinkedList | getCloningAncestors () const |
Return ancestors in cloning chain of this RooAbsArg. More... | |
RooArgSet * | getComponents () const |
RooArgSet * | getDependents (const RooArgSet &set) const |
RooArgSet * | getDependents (const RooAbsData *set) const |
RooArgSet * | getDependents (const RooArgSet *depList) const |
RooArgSet * | getObservables (const RooArgSet &set, Bool_t valueOnly=kTRUE) const |
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). More... | |
RooArgSet * | getObservables (const RooAbsData &data) const |
RooArgSet * | getObservables (const RooArgSet *depList, Bool_t valueOnly=kTRUE) 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. More... | |
RooArgSet * | getParameters (const RooAbsData *data, Bool_t stripDisconnected=kTRUE) 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). More... | |
RooArgSet * | getParameters (const RooAbsData &data, Bool_t stripDisconnected=kTRUE) const |
RooArgSet * | getParameters (const RooArgSet &set, Bool_t stripDisconnected=kTRUE) const |
virtual RooArgSet * | getParameters (const RooArgSet *depList, Bool_t stripDisconnected=kTRUE) 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. More... | |
const Text_t * | getStringAttribute (const Text_t *key) const |
Get string attribute mapped under key 'key'. More... | |
Bool_t | getTransientAttribute (const Text_t *name) const |
Check if a named attribute is set. More... | |
RooArgSet * | getVariables (Bool_t stripDisconnected=kTRUE) const |
Return RooArgSet with all variables (tree leaf nodes of expresssion tree) More... | |
void | graphVizTree (const char *fileName, const char *delimiter="\, bool useTitle=false, bool useLatex=false) |
Create a GraphViz .dot file visualizing the expression tree headed by this RooAbsArg object. More... | |
void | graphVizTree (std::ostream &os, const char *delimiter="\, bool useTitle=false, bool useLatex=false) |
Write the GraphViz representation of the expression tree headed by this RooAbsArg object to the given ostream. More... | |
Bool_t | hasClients () const |
virtual Bool_t | hasRange (const char *) const |
virtual Bool_t | importWorkspaceHook (RooWorkspace &) |
virtual Bool_t | inRange (const char *) const |
virtual void | ioStreamerPass2 () |
Prevent 'AlwaysDirty' mode for this node. More... | |
Bool_t | isCloneOf (const RooAbsArg &other) const |
Check if this object was created as a clone of 'other'. More... | |
Bool_t | isConstant () const |
virtual Bool_t | isDerived () const |
virtual Bool_t | isFundamental () const |
virtual Bool_t | isLValue () const |
Bool_t | isShapeDirty () const |
Bool_t | isShapeServer (const RooAbsArg &arg) const |
Bool_t | isShapeServer (const char *name) const |
virtual Bool_t | IsSortable () const |
Bool_t | isValueDirty () const |
Bool_t | isValueDirtyAndClear () const |
Bool_t | isValueOrShapeDirtyAndClear () const |
Bool_t | isValueServer (const RooAbsArg &arg) const |
Bool_t | isValueServer (const char *name) const |
void | leafNodeServerList (RooAbsCollection *list, const RooAbsArg *arg=0, Bool_t recurseNonDerived=kFALSE) const |
Fill supplied list with all leaf nodes of the arg tree, starting with ourself as top node. More... | |
Bool_t | localNoDirtyInhibit () const |
const TNamed * | namePtr () const |
Int_t | numCaches () const |
Return number of registered caches. More... | |
Bool_t | observableOverlaps (const RooAbsData *dset, const RooAbsArg &testArg) const |
Test if any of the dependents of the arg tree (as determined by getObservables) overlaps with those of the testArg. More... | |
Bool_t | observableOverlaps (const RooArgSet *depList, const RooAbsArg &testArg) const |
Test if any of the dependents of the arg tree (as determined by getObservables) overlaps with those of the testArg. More... | |
OperMode | operMode () const |
virtual void | optimizeCacheMode (const RooArgSet &observables) |
Activate cache mode optimization with given definition of observables. More... | |
virtual void | optimizeCacheMode (const RooArgSet &observables, RooArgSet &optNodes, RooLinkedList &processedNodes) |
Activate cache mode optimization with given definition of observables. More... | |
Bool_t | overlaps (const RooAbsArg &testArg, Bool_t valueOnly=kFALSE) const |
Test if any of the nodes of tree are shared with that of the given tree. More... | |
const RooArgSet * | ownedComponents () const |
virtual void | Print (Option_t *options=0) const |
Print TNamed name and title. More... | |
virtual void | printAddress (std::ostream &os) const |
Print class name of object. More... | |
virtual void | printArgs (std::ostream &os) const |
Print object arguments, ie its proxies. More... | |
virtual void | printClassName (std::ostream &os) const |
Print object class name. More... | |
void | printCompactTree (const char *indent="", const char *fileName=0, const char *namePat=0, RooAbsArg *client=0) |
Print tree structure of expression tree on stdout, or to file if filename is specified. More... | |
void | printCompactTree (std::ostream &os, const char *indent="", const char *namePat=0, RooAbsArg *client=0) |
Print tree structure of expression tree on given ostream. More... | |
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. More... | |
void | printComponentTree (const char *indent="", const char *namePat=0, Int_t nLevel=999) |
Print tree structure of expression tree on given ostream, only branch nodes are printed. More... | |
void | printDirty (Bool_t depth=kTRUE) const |
Print information about current value dirty state information. More... | |
virtual void | printMetaArgs (std::ostream &) const |
virtual void | printName (std::ostream &os) const |
Print object name. More... | |
virtual void | printTitle (std::ostream &os) const |
Print object title. More... | |
virtual void | printTree (std::ostream &os, TString indent="") const |
Print object tree structure. More... | |
Bool_t | recursiveCheckDependents (const RooArgSet *nset) const |
Bool_t | recursiveCheckObservables (const RooArgSet *nset) const |
Recursively call checkObservables on all nodes in the expression tree. More... | |
Bool_t | recursiveRedirectServers (const RooAbsCollection &newServerList, Bool_t mustReplaceAll=kFALSE, Bool_t nameChange=kFALSE, Bool_t recurseInNewSet=kTRUE) |
Bool_t | redirectServers (const RooAbsCollection &newServerList, Bool_t mustReplaceAll=kFALSE, Bool_t nameChange=kFALSE, Bool_t isRecursionStep=kFALSE) |
Iterator over _clientListValue. More... | |
void | registerCache (RooAbsCache &cache) |
Register RooAbsCache with this object. More... | |
void | removeServer (RooAbsArg &server, Bool_t force=kFALSE) |
Unregister another RooAbsArg as a server to us, ie, declare that we no longer depend on its value and shape. More... | |
void | replaceServer (RooAbsArg &oldServer, RooAbsArg &newServer, Bool_t valueProp, Bool_t shapeProp) |
Replace 'oldServer' with 'newServer'. More... | |
TIterator * | serverIterator () const |
RooFIter | serverMIterator () const |
virtual void | serverNameChangeHook (const RooAbsArg *, const RooAbsArg *) |
void | setAttribute (const Text_t *name, Bool_t value=kTRUE) |
Set (default) or clear a named boolean attribute of this object. More... | |
virtual void | setCacheAndTrackHints (RooArgSet &) |
virtual void | setExpensiveObjectCache (RooExpensiveObjectCache &cache) |
void | setLocalNoDirtyInhibit (Bool_t flag) const |
void | SetName (const char *name) |
Set the name of the TNamed. More... | |
void | SetNameTitle (const char *name, const char *title) |
Set all the TNamed parameters (name and title). More... | |
void | setOperMode (OperMode mode, Bool_t recurseADirty=kTRUE) |
Change cache operation mode to given mode. More... | |
void | setProhibitServerRedirect (Bool_t flag) |
void | setShapeDirty () const |
void | setStringAttribute (const Text_t *key, const Text_t *value) |
Associate string 'value' to this object under key 'key'. More... | |
void | setTransientAttribute (const Text_t *name, Bool_t value=kTRUE) |
Set (default) or clear a named boolean attribute of this object. More... | |
void | setValueDirty () const |
TIterator * | shapeClientIterator () const |
RooFIter | shapeClientMIterator () const |
const std::map< std::string, std::string > & | stringAttributes () const |
const std::set< std::string > & | transientAttributes () const |
void | treeNodeServerList (RooAbsCollection *list, const RooAbsArg *arg=0, Bool_t doBranch=kTRUE, Bool_t doLeaf=kTRUE, Bool_t valueOnly=kFALSE, Bool_t recurseNonDerived=kFALSE) const |
Fill supplied list with nodes of the arg tree, following all server links, starting with ourself as top node. More... | |
void | unRegisterCache (RooAbsCache &cache) |
Unregister a RooAbsCache. Called from the RooAbsCache destructor. More... | |
TIterator * | valueClientIterator () const |
RooFIter | valueClientMIterator () const |
void | wireAllCaches () |
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TNamed () | |
TNamed (const char *name, const char *title) | |
TNamed (const TString &name, const TString &title) | |
TNamed (const TNamed &named) | |
TNamed copy ctor. More... | |
virtual | ~TNamed () |
virtual void | Clear (Option_t *option="") |
Set name and title to empty strings (""). More... | |
virtual void | Copy (TObject &named) const |
Copy this to obj. More... | |
virtual void | FillBuffer (char *&buffer) |
Encode TNamed into output buffer. More... | |
virtual const char * | GetName () const |
Returns name of object. More... | |
virtual const char * | GetTitle () const |
Returns title of object. More... | |
virtual ULong_t | Hash () const |
Return hash value for this object. More... | |
virtual void | ls (Option_t *option="") const |
List TNamed name and title. More... | |
TNamed & | operator= (const TNamed &rhs) |
TNamed assignment operator. More... | |
virtual void | SetTitle (const char *title="") |
Set the title of the TNamed. More... | |
virtual Int_t | Sizeof () const |
Return size of the TNamed part of the TObject. More... | |
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TObject () | |
TObject constructor. More... | |
TObject (const TObject &object) | |
TObject copy ctor. More... | |
virtual | ~TObject () |
TObject destructor. More... | |
void | AbstractMethod (const char *method) const |
Use this method to implement an "abstract" method that you don't want to leave purely abstract. More... | |
virtual void | AppendPad (Option_t *option="") |
Append graphics object to current pad. More... | |
virtual void | Browse (TBrowser *b) |
Browse object. May be overridden for another default action. More... | |
virtual const char * | ClassName () const |
Returns name of class to which the object belongs. More... | |
virtual void | Delete (Option_t *option="") |
Delete this object. More... | |
virtual Int_t | DistancetoPrimitive (Int_t px, Int_t py) |
Computes distance from point (px,py) to the object. More... | |
virtual void | Draw (Option_t *option="") |
Default Draw method for all objects. More... | |
virtual void | DrawClass () const |
Draw class inheritance tree of the class to which this object belongs. More... | |
virtual TObject * | DrawClone (Option_t *option="") const |
Draw a clone of this object in the current pad. More... | |
virtual void | Dump () const |
Dump contents of object on stdout. More... | |
virtual void | Error (const char *method, const char *msgfmt,...) const |
Issue error message. More... | |
virtual void | Execute (const char *method, const char *params, Int_t *error=0) |
Execute method on this object with the given parameter string, e.g. More... | |
virtual void | Execute (TMethod *method, TObjArray *params, Int_t *error=0) |
Execute method on this object with parameters stored in the TObjArray. More... | |
virtual void | ExecuteEvent (Int_t event, Int_t px, Int_t py) |
Execute action corresponding to an event at (px,py). More... | |
virtual void | Fatal (const char *method, const char *msgfmt,...) const |
Issue fatal error message. More... | |
virtual TObject * | FindObject (const char *name) const |
Must be redefined in derived classes. More... | |
virtual TObject * | FindObject (const TObject *obj) const |
Must be redefined in derived classes. More... | |
virtual Option_t * | GetDrawOption () const |
Get option used by the graphics system to draw this object. More... | |
virtual const char * | GetIconName () const |
Returns mime type name of object. More... | |
virtual char * | GetObjectInfo (Int_t px, Int_t py) const |
Returns string containing info about the object at position (px,py). More... | |
virtual Option_t * | GetOption () const |
virtual UInt_t | GetUniqueID () const |
Return the unique object id. More... | |
virtual Bool_t | HandleTimer (TTimer *timer) |
Execute action in response of a timer timing out. More... | |
virtual void | Info (const char *method, const char *msgfmt,...) const |
Issue info message. More... | |
virtual Bool_t | InheritsFrom (const char *classname) const |
Returns kTRUE if object inherits from class "classname". More... | |
virtual Bool_t | InheritsFrom (const TClass *cl) const |
Returns kTRUE if object inherits from TClass cl. More... | |
virtual void | Inspect () const |
Dump contents of this object in a graphics canvas. More... | |
void | InvertBit (UInt_t f) |
virtual Bool_t | IsEqual (const TObject *obj) const |
Default equal comparison (objects are equal if they have the same address in memory). More... | |
virtual Bool_t | IsFolder () const |
Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More... | |
Bool_t | IsOnHeap () const |
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). More... | |
virtual Bool_t | Notify () |
This method must be overridden to handle object notification. More... | |
void | Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const |
Use this method to declare a method obsolete. More... | |
void | operator delete (void *ptr) |
Operator delete. More... | |
void | operator delete[] (void *ptr) |
Operator delete []. More... | |
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. More... | |
virtual void | Paint (Option_t *option="") |
This method must be overridden if a class wants to paint itself. More... | |
virtual void | Pop () |
Pop on object drawn in a pad to the top of the display list. More... | |
virtual Int_t | Read (const char *name) |
Read contents of object with specified name from the current directory. More... | |
virtual void | RecursiveRemove (TObject *obj) |
Recursively remove this object from a list. More... | |
void | ResetBit (UInt_t f) |
virtual void | SaveAs (const char *filename="", Option_t *option="") const |
Save this object in the file specified by filename. More... | |
virtual void | SavePrimitive (std::ostream &out, Option_t *option="") |
Save a primitive as a C++ statement(s) on output stream "out". More... | |
void | SetBit (UInt_t f, Bool_t set) |
Set or unset the user status bits as specified in f. More... | |
void | SetBit (UInt_t f) |
virtual void | SetDrawOption (Option_t *option="") |
Set drawing option for object. More... | |
virtual void | SetUniqueID (UInt_t uid) |
Set the unique object id. More... | |
virtual void | SysError (const char *method, const char *msgfmt,...) const |
Issue system error message. More... | |
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. More... | |
virtual void | Warning (const char *method, const char *msgfmt,...) const |
Issue warning message. More... | |
virtual Int_t | Write (const char *name=0, Int_t option=0, Int_t bufsize=0) |
Write this object to the current directory. More... | |
virtual Int_t | Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const |
Write this object to the current directory. More... | |
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RooPrintable () | |
virtual | ~RooPrintable () |
virtual StyleOption | defaultPrintStyle (Option_t *opt) const |
virtual void | printExtras (std::ostream &os) const |
Interface to print extras of object. More... | |
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'. More... | |
Static Public Member Functions | |
static void | clearEvalError () |
Clear the evaluation error flag. More... | |
static RooNumGenConfig * | defaultGeneratorConfig () |
Returns the default numeric MC generator configuration for all RooAbsReals. More... | |
static Bool_t | evalError () |
Return the evaluation error flag. More... | |
static void | verboseEval (Int_t stat) |
Change global level of verbosity for p.d.f. evaluations. More... | |
static int | verboseEval () |
Return global level of verbosity for p.d.f. evaluations. More... | |
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static void | clearEvalErrorLog () |
Clear the stack of evaluation error messages. More... | |
static RooNumIntConfig * | defaultIntegratorConfig () |
Returns the default numeric integration configuration for all RooAbsReals. More... | |
static EvalErrorIter | evalErrorIter () |
static ErrorLoggingMode | evalErrorLoggingMode () |
Return current evaluation error logging mode. More... | |
static Bool_t | hideOffset () |
static void | logEvalError (const RooAbsReal *originator, const char *origName, const char *message, const char *serverValueString=0) |
Interface to insert remote error logging messages received by RooRealMPFE into current error loggin stream. More... | |
static Int_t | numEvalErrorItems () |
static Int_t | numEvalErrors () |
Return the number of logged evaluation errors since the last clearing. More... | |
static void | printEvalErrors (std::ostream &os=std::cout, Int_t maxPerNode=10000000) |
Print all outstanding logged evaluation error on the given ostream. More... | |
static void | setCacheCheck (Bool_t flag) |
Activate cache validation mode. More... | |
static void | setEvalErrorLoggingMode (ErrorLoggingMode m) |
Set evaluation error logging mode. More... | |
static void | setHideOffset (Bool_t flag) |
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static UInt_t | crc32 (const char *data) |
static UInt_t | crc32 (const char *data, ULong_t sz, UInt_t crc=0) |
static UInt_t | fnv1a32 (const char *data) |
static UInt_t | fnv1a32 (const char *data, ULong_t sz, UInt_t hash=fnv1a32start) |
static ULong64_t | fnv1a64 (const char *data) |
static ULong64_t | fnv1a64 (const char *data, ULong_t sz, ULong64_t hash=fnv1a64start) |
static void | ioStreamerPass2Finalize () |
Method called by workspace container to finalize schema evolution issues that cannot be handled in a single ioStreamer pass. More... | |
static void | setDirtyInhibit (Bool_t flag) |
Control global dirty inhibit mode. More... | |
static void | verboseDirty (Bool_t flag) |
Activate verbose messaging related to dirty flag propagation. More... | |
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static Long_t | GetDtorOnly () |
Return destructor only flag. More... | |
static Bool_t | GetObjectStat () |
Get status of object stat flag. More... | |
static void | SetDtorOnly (void *obj) |
Set destructor only flag. More... | |
static void | SetObjectStat (Bool_t stat) |
Turn on/off tracking of objects in the TObjectTable. More... | |
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static std::ostream & | defaultPrintStream (std::ostream *os=0) |
Return a reference to the current default stream to use in Print(). More... | |
static void | nameFieldLength (Int_t newLen) |
Set length of field reserved from printing name of RooAbsArgs in multi-line collection printing to given amount. More... | |
Protected Member Functions | |
RooAbsPdf (const RooAbsPdf &other, const char *name=0) | |
Copy constructor. More... | |
RooDataSet * | generate (RooAbsGenContext &context, const RooArgSet &whatVars, const RooDataSet *prototype, Double_t nEvents, Bool_t verbose, Bool_t randProtoOrder, Bool_t resampleProto, Bool_t skipInit=kFALSE, Bool_t extended=kFALSE) const |
Internal method. More... | |
virtual RooPlot * | paramOn (RooPlot *frame, const RooArgSet ¶ms, Bool_t showConstants=kFALSE, const char *label="", Int_t sigDigits=2, Option_t *options="NELU", Double_t xmin=0.65, Double_t xmax=0.99, Double_t ymax=0.95, const RooCmdArg *formatCmd=0) |
Add a text box with the current parameter values and their errors to the frame. More... | |
virtual RooPlot * | plotOn (RooPlot *frame, PlotOpt o) const |
Int_t * | randomizeProtoOrder (Int_t nProto, Int_t nGen, Bool_t resample=kFALSE) const |
Return lookup table with randomized access order for prototype events, given nProto prototype data events and nGen events that will actually be accessed. More... | |
virtual Bool_t | redirectServersHook (const RooAbsCollection &, Bool_t, Bool_t, Bool_t) |
virtual Bool_t | syncNormalization (const RooArgSet *dset, Bool_t adjustProxies=kTRUE) const |
Verify that the normalization integral cached with this PDF is valid for given set of normalization observables. More... | |
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virtual void | attachToTree (TTree &t, Int_t bufSize=32000) |
Attach object to a branch of given TTree. More... | |
virtual void | attachToVStore (RooVectorDataStore &vstore) |
RooFitResult * | chi2FitDriver (RooAbsReal &fcn, RooLinkedList &cmdList) |
Internal driver function for chi2 fits. More... | |
virtual void | copyCache (const RooAbsArg *source, Bool_t valueOnly=kFALSE, Bool_t setValDirty=kTRUE) |
Copy the cached value of another RooAbsArg to our cache. More... | |
RooAbsReal * | createIntObj (const RooArgSet &iset, const RooArgSet *nset, const RooNumIntConfig *cfg, const char *rangeName) const |
Utility function for createIntegral that creates the actual integreal object. More... | |
virtual Double_t | evaluate () const =0 |
virtual void | fillTreeBranch (TTree &t) |
Fill the tree branch that associated with this object with its current value. More... | |
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. More... | |
TString | integralNameSuffix (const RooArgSet &iset, const RooArgSet *nset=0, const char *rangeName=0, Bool_t omitEmpty=kFALSE) const |
Construct string with unique suffix name to give to integral object that encodes integrated observables, normalization observables and the integration range name. More... | |
Bool_t | isSelectedComp () const |
If true, the current pdf is a selected component (for use in plotting) More... | |
virtual Bool_t | isValid () const |
Check if current value is valid. More... | |
virtual Bool_t | isValidReal (Double_t value, Bool_t printError=kFALSE) const |
Interface function to check if given value is a valid value for this object. More... | |
void | makeProjectionSet (const RooAbsArg *plotVar, const RooArgSet *allVars, RooArgSet &projectedVars, Bool_t silent) const |
Utility function for plotOn() that constructs the set of observables to project when plotting ourselves as function of 'plotVar'. More... | |
Bool_t | matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a) const |
Utility function for use in getAnalyticalIntegral(). More... | |
Bool_t | matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a, const RooArgProxy &b) const |
Utility function for use in getAnalyticalIntegral(). More... | |
Bool_t | matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a, const RooArgProxy &b, const RooArgProxy &c) const |
Utility function for use in getAnalyticalIntegral(). More... | |
Bool_t | matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a, const RooArgProxy &b, const RooArgProxy &c, const RooArgProxy &d) const |
Utility function for use in getAnalyticalIntegral(). More... | |
Bool_t | matchArgs (const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgSet &set) const |
Utility function for use in getAnalyticalIntegral(). More... | |
virtual RooPlot * | plotAsymOn (RooPlot *frame, const RooAbsCategoryLValue &asymCat, PlotOpt o) const |
void | plotOnCompSelect (RooArgSet *selNodes) const |
Helper function for plotting of composite p.d.fs. More... | |
RooPlot * | plotOnWithErrorBand (RooPlot *frame, const RooFitResult &fr, Double_t Z, const RooArgSet *params, const RooLinkedList &argList, Bool_t method1) const |
Plot function or p.d.f. More... | |
Bool_t | plotSanityChecks (RooPlot *frame) const |
Utility function for plotOn(), perform general sanity check on frame to ensure safe plotting operations. More... | |
void | selectComp (Bool_t flag) |
virtual void | selectNormalization (const RooArgSet *depSet=0, Bool_t force=kFALSE) |
Interface function to force use of a given set of observables to interpret function value. More... | |
virtual void | selectNormalizationRange (const char *rangeName=0, Bool_t force=kFALSE) |
Interface function to force use of a given normalization range to interpret function value. More... | |
virtual void | setTreeBranchStatus (TTree &t, Bool_t active) |
(De)Activate associated tree branch More... | |
virtual void | syncCache (const RooArgSet *set=0) |
Double_t | traceEval (const RooArgSet *set) const |
Calculate current value of object, with error tracing wrapper. More... | |
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void | attachToStore (RooAbsDataStore &store) |
TString | cleanBranchName () const |
Construct a mangled name from the actual name that is free of any math symbols that might be interpreted by TTree. More... | |
virtual void | getObservablesHook (const RooArgSet *, RooArgSet *) const |
virtual void | getParametersHook (const RooArgSet *, RooArgSet *, Bool_t) const |
RooAbsProxy * | getProxy (Int_t index) const |
Return the nth proxy from the proxy list. More... | |
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. More... | |
Bool_t | inhibitDirty () const |
Delete watch flag. More... | |
Int_t | numProxies () const |
Return the number of registered proxies. More... | |
virtual void | operModeHook () |
virtual void | optimizeDirtyHook (const RooArgSet *) |
void | printAttribList (std::ostream &os) const |
Transient boolean attributes (not copied in ctor) More... | |
void | registerProxy (RooArgProxy &proxy) |
Register an RooArgProxy in the proxy list. More... | |
void | registerProxy (RooSetProxy &proxy) |
Register an RooSetProxy in the proxy list. More... | |
void | registerProxy (RooListProxy &proxy) |
Register an RooListProxy in the proxy list. More... | |
void | setProxyNormSet (const RooArgSet *nset) |
Forward a change in the cached normalization argset to all the registered proxies. More... | |
void | setShapeDirty (const RooAbsArg *source) const |
Mark this object as having changed its shape, and propagate this status change to all of our clients. More... | |
void | setValueDirty (const RooAbsArg *source) const |
Mark this object as having changed its value, and propagate this status change to all of our clients. More... | |
void | unRegisterProxy (RooArgProxy &proxy) |
Remove proxy from proxy list. More... | |
void | unRegisterProxy (RooSetProxy &proxy) |
Remove proxy from proxy list. More... | |
void | unRegisterProxy (RooListProxy &proxy) |
Remove proxy from proxy list. More... | |
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virtual void | DoError (int level, const char *location, const char *fmt, va_list va) const |
Interface to ErrorHandler (protected). More... | |
void | MakeZombie () |
Static Protected Member Functions | |
static void | raiseEvalError () |
Raise the evaluation error flag. More... | |
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static void | globalSelectComp (Bool_t flag) |
Global switch controlling the activation of the selectComp() functionality. More... | |
Static Protected Attributes | |
static Bool_t | _evalError = kFALSE |
static TString | _normRangeOverride |
static Int_t | _verboseEval = 0 |
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static Bool_t | _cacheCheck |
static Bool_t | _globalSelectComp = kFALSE |
Component selection flag for RooAbsPdf::plotCompOn. More... | |
static Bool_t | _hideOffset = kTRUE |
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static Bool_t | _inhibitDirty |
static Bool_t | _verboseDirty |
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static Int_t | _nameLength |
Friends | |
class | CacheElem |
class | RooAbsAnaConvPdf |
class | RooAddGenContext |
class | RooAddGenContextOrig |
class | RooConvGenContext |
class | RooEffGenContext |
class | RooExtendPdf |
class | RooMCStudy |
class | RooProdGenContext |
class | RooProdPdf |
class | RooRealIntegral |
class | RooSimGenContext |
class | RooSimSplitGenContext |
class | RooSimultaneous |
Additional Inherited Members | |
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static std::map< RooAbsArg *, TRefArray * > | _ioEvoList |
static std::stack< RooAbsArg * > | _ioReadStack |
static const UInt_t | fnv1a32start = 2166136261u |
static const ULong64_t | fnv1a64start = (ULong64_t(3421674724u) << 32) | ULong64_t(2216829733u) |
#include <RooAbsPdf.h>
Enumerator | |
---|---|
CanNotBeExtended | |
CanBeExtended | |
MustBeExtended |
Definition at line 209 of file RooAbsPdf.h.
RooAbsPdf::RooAbsPdf | ( | ) |
Default constructor.
Definition at line 176 of file RooAbsPdf.cxx.
RooAbsPdf::RooAbsPdf | ( | const char * | name, |
const char * | title = 0 |
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) |
Constructor with name and title only.
Definition at line 190 of file RooAbsPdf.cxx.
Constructor with name, title, and plot range.
Definition at line 202 of file RooAbsPdf.cxx.
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virtual |
Destructor.
Definition at line 234 of file RooAbsPdf.cxx.
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protected |
Copy constructor.
Definition at line 215 of file RooAbsPdf.cxx.
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virtual |
Analytical integral with normalization (see RooAbsReal::analyticalIntegralWN() for further information)
This function applies the normalization specified by 'normSet' to the integral returned by RooAbsReal::analyticalIntegral(). The passthrough scenario (code=0) is also changed to return a normalized answer
Reimplemented from RooAbsReal.
Reimplemented in RooProdPdf, RooSimultaneous, RooAddPdf, RooAddModel, RooRealSumPdf, RooEffProd, RooExtendPdf, and RooProjectedPdf.
Definition at line 321 of file RooAbsPdf.cxx.
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virtual |
Reimplemented in RooSimultaneous.
Definition at line 1647 of file RooAbsPdf.cxx.
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virtual |
Return a binned generator context.
Definition at line 1628 of file RooAbsPdf.cxx.
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inline |
Definition at line 216 of file RooAbsPdf.h.
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virtual |
Internal back-end function to steer chi2 fits.
Reimplemented from RooAbsReal.
Definition at line 1451 of file RooAbsPdf.cxx.
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static |
Clear the evaluation error flag.
Definition at line 3150 of file RooAbsPdf.cxx.
RooAbsReal * RooAbsPdf::createCdf | ( | const RooArgSet & | iset, |
const RooArgSet & | nset = RooArgSet() |
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) |
Create a cumulative distribution function of this p.d.f in terms of the observables listed in iset.
If no nset argument is given the c.d.f normalization is constructed over the integrated observables, so that its maximum value is precisely 1. It is also possible to choose a different normalization for multi-dimensional p.d.f.s: eg. for a pdf f(x,y,z) one can construct a partial cdf c(x,y) that only when integrated itself over z results in a maximum value of 1. To construct such a cdf pass z as argument to the optional nset argument
Definition at line 3027 of file RooAbsPdf.cxx.
RooAbsReal * RooAbsPdf::createCdf | ( | const RooArgSet & | iset, |
const RooCmdArg & | arg1, | ||
const RooCmdArg & | arg2 = RooCmdArg::none() , |
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const RooCmdArg & | arg3 = RooCmdArg::none() , |
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const RooCmdArg & | arg4 = RooCmdArg::none() , |
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const RooCmdArg & | arg5 = RooCmdArg::none() , |
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const RooCmdArg & | arg6 = RooCmdArg::none() , |
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const RooCmdArg & | arg7 = RooCmdArg::none() , |
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const RooCmdArg & | arg8 = RooCmdArg::none() |
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) |
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
The following named arguments are accepted
SupNormSet(const RooArgSet&) – Observables over which should be normalized in_addition to the integration observables ScanNumCdf() – Apply scanning technique if cdf integral involves numeric integration [ default ] ScanAllCdf() – Always apply scanning technique ScanNoCdf() – Never apply scanning technique ScanParameters(Int_t nbins, – Parameters for scanning technique of making CDF: number Int_t intOrder) of sampled bins and order of interpolation applied on numeric cdf
Definition at line 3050 of file RooAbsPdf.cxx.
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virtual |
Create a chi-2 from a histogram and this function.
The following named arguments are supported
Extended() – Use expected number of events of an extended p.d.f as normalization DataError() – Choose between Expected error [RooAbsData::Expected] , or Observed error (e.g. Sum-of-weights [RooAbsData:SumW2] or Poisson interval [RooAbsData::Poisson] ) Default is AUTO : Expected error for unweighted data, Sum-of-weights for weighted data NumCPU() – Activate parallel processing feature Range() – Fit only selected region SumCoefRange() – Set the range in which to interpret the coefficients of RooAddPdf components SplitRange() – Fit range is split by index catory of simultaneous PDF ConditionalObservables() – Define projected observables
Reimplemented from RooAbsReal.
Definition at line 1487 of file RooAbsPdf.cxx.
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virtual |
Internal back-end function to create a chi^2 from a p.d.f. and a dataset.
Reimplemented from RooAbsReal.
Definition at line 1562 of file RooAbsPdf.cxx.
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virtual |
Construct representation of -log(L) of PDFwith given dataset.
If dataset is unbinned, an unbinned likelihood is constructed. If the dataset is binned, a binned likelihood is constructed.
See RooAbsPdf::createNLL(RooAbsData& data, RooCmdArg arg1, RooCmdArg arg2, RooCmdArg arg3, RooCmdArg arg4, RooCmdArg arg5, RooCmdArg arg6, RooCmdArg arg7, RooCmdArg arg8)
for documentation of options
Reimplemented in RooStats::HistFactory::HistFactorySimultaneous.
Definition at line 777 of file RooAbsPdf.cxx.
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virtual |
Construct representation of -log(L) of PDFwith given dataset.
If dataset is unbinned, an unbinned likelihood is constructed. If the dataset is binned, a binned likelihood is constructed.
The following named arguments are supported
ConditionalObservables(const RooArgSet& set) – Do not normalize PDF over listed observables Extended(Bool_t flag) – Add extended likelihood term, off by default Range(const char* name) – Fit only data inside range with given name Range(Double_t lo, Double_t hi) – Fit only data inside given range. A range named "fit" is created on the fly on all observables. Multiple comma separated range names can be specified. SumCoefRange(const char* name) – Set the range in which to interpret the coefficients of RooAddPdf components NumCPU(int num, int strat) – Parallelize NLL calculation on num CPUs
Strategy 0 = RooFit::BulkPartition (Default) --> Divide events in N equal chunks Strategy 1 = RooFit::Interleave --> Process event i%N in process N. Recommended for binned data with a substantial number of zero-bins, which will be distributed across processes more equitably in this strategy Strategy 2 = RooFit::SimComponents --> Process each component likelihood of a RooSimultaneous fully in a single process and distribute components over processes. This approach can be benificial if normalization calculation time dominates the total computation time of a component (since the normalization calculation must be performed in each process in strategies 0 and 1. However beware that if the RooSimultaneous components do not share many parameters this strategy is inefficient: as most minuit-induced likelihood calculations involve changing a single parameter, only 1 of the N processes will be active most of the time if RooSimultaneous components do not share many parameters Strategy 3 = RooFit::Hybrid --> Follow strategy 0 for all RooSimultaneous components, except those with less than 30 dataset entries, for which strategy 2 is followed.
Optimize(Bool_t flag) – Activate constant term optimization (on by default) SplitRange(Bool_t flag) – Use separate fit ranges in a simultaneous fit. Actual range name for each subsample is assumed to by rangeName_{indexState} where indexState is the state of the master index category of the simultaneous fit Constrain(const RooArgSet&pars) – For p.d.f.s that contain internal parameter constraint terms, only apply constraints to given subset of parameters ExternalConstraints(const RooArgSet& ) – Include given external constraints to likelihood GlobalObservables(const RooArgSet&) – Define the set of normalization observables to be used for the constraint terms. If none are specified the constrained parameters are used GlobalObservablesTag(const char* tagName) – Define the set of normalization observables to be used for the constraint terms by a string attribute associated with pdf observables that match the given tagName Verbose(Bool_t flag) – Constrols RooFit informational messages in likelihood construction CloneData(Bool flag) – Use clone of dataset in NLL (default is true) Offset(Bool_t) – Offset likelihood by initial value (so that starting value of FCN in minuit is zero). This can improve numeric stability in simultaneously fits with components with large likelihood values
Reimplemented in RooStats::HistFactory::HistFactorySimultaneous.
Definition at line 754 of file RooAbsPdf.cxx.
Return a p.d.f that represent a projection of this p.d.f integrated over given observables.
Reimplemented in RooProjectedPdf.
Definition at line 2989 of file RooAbsPdf.cxx.
RooAbsReal * RooAbsPdf::createScanCdf | ( | const RooArgSet & | iset, |
const RooArgSet & | nset, | ||
Int_t | numScanBins, | ||
Int_t | intOrder | ||
) |
Definition at line 3106 of file RooAbsPdf.cxx.
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static |
Returns the default numeric MC generator configuration for all RooAbsReals.
Definition at line 3180 of file RooAbsPdf.cxx.
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static |
Return the evaluation error flag.
Definition at line 3160 of file RooAbsPdf.cxx.
Return expected number of events from this p.d.f for use in extended likelihood calculations.
This default implementation returns zero
Reimplemented in RooProdPdf, RooAddPdf, RooAddModel, RooSimultaneous, RooRealSumPdf, RooExtendPdf, and RooExtendedTerm.
Definition at line 2930 of file RooAbsPdf.cxx.
Reimplemented in RooProdPdf, RooAddPdf, RooAddModel, RooSimultaneous, RooRealSumPdf, RooExtendPdf, and RooExtendedTerm.
Definition at line 225 of file RooAbsPdf.h.
Returned the extended likelihood term (Nexpect - Nobserved*log(NExpected) of this PDF for the given number of observed events.
For successfull operation the PDF implementation must indicate it is extendable by overloading canBeExtended() and must implemented the expectedEvents() function.
Definition at line 646 of file RooAbsPdf.cxx.
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inlinevirtual |
Reimplemented in RooProdPdf, RooAddPdf, RooAddModel, RooSimultaneous, RooRealSumPdf, RooExtendPdf, and RooExtendedTerm.
Definition at line 210 of file RooAbsPdf.h.
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virtual |
Fit PDF to given dataset.
If dataset is unbinned, an unbinned maximum likelihood is performed. If the dataset is binned, a binned maximum likelihood is performed. By default the fit is executed through the MINUIT commands MIGRAD, HESSE in succession.
The following named arguments are supported
ConditionalObservables(const RooArgSet& set) – Do not normalize PDF over listed observables Extended(Bool_t flag) – Add extended likelihood term, off by default Range(const char* name) – Fit only data inside range with given name Range(Double_t lo, Double_t hi) – Fit only data inside given range. A range named "fit" is created on the fly on all observables. Multiple comma separated range names can be specified. SumCoefRange(const char* name) – Set the range in which to interpret the coefficients of RooAddPdf components NumCPU(int num, int strat) – Parallelize NLL calculation on num CPUs
Strategy 0 = RooFit::BulkPartition (Default) --> Divide events in N equal chunks Strategy 1 = RooFit::Interleave --> Process event i%N in process N. Recommended for binned data with a substantial number of zero-bins, which will be distributed across processes more equitably in this strategy Strategy 2 = RooFit::SimComponents --> Process each component likelihood of a RooSimultaneous fully in a single process and distribute components over processes. This approach can be benificial if normalization calculation time dominates the total computation time of a component (since the normalization calculation must be performed in each process in strategies 0 and 1. However beware that if the RooSimultaneous components do not share many parameters this strategy is inefficient: as most minuit-induced likelihood calculations involve changing a single parameter, only 1 of the N processes will be active most of the time if RooSimultaneous components do not share many parameters Strategy 3 = RooFit::Hybrid --> Follow strategy 0 for all RooSimultaneous components, except those with less than 30 dataset entries, for which strategy 2 is followed.
SplitRange(Bool_t flag) – Use separate fit ranges in a simultaneous fit. Actual range name for each subsample is assumed to by rangeName_{indexState} where indexState is the state of the master index category of the simultaneous fit Constrained() – Apply all constrained contained in the p.d.f. in the likelihood Contrain(const RooArgSet&pars) – Apply constraints to listed parameters in likelihood using internal constrains in p.d.f GlobalObservables(const RooArgSet&) – Define the set of normalization observables to be used for the constraint terms. If none are specified the constrained parameters are used ExternalConstraints(const RooArgSet& ) – Include given external constraints to likelihood Offset(Bool_t) – Offset likelihood by initial value (so that starting value of FCN in minuit is zero). This can improve numeric stability in simultaneously fits with components with large likelihood values
Minimizer(type,algo) – Choose minimization package and algorithm to use. Default is MINUIT/MIGRAD through the RooMinimizer interface, but others can be specified (through RooMinimizer interface). Select OldMinuit to use MINUIT through the old RooMinuit interface
Type Algorithm ------ --------- OldMinuit migrad, simplex, minimize (=migrad+simplex), migradimproved (=migrad+improve) Minuit migrad, simplex, minimize (=migrad+simplex), migradimproved (=migrad+improve) Minuit2 migrad, simplex, minimize, scan GSLMultiMin conjugatefr, conjugatepr, bfgs, bfgs2, steepestdescent GSLSimAn -
InitialHesse(Bool_t flag) – Flag controls if HESSE before MIGRAD as well, off by default Optimize(Bool_t flag) – Activate constant term optimization of test statistic during minimization (on by default) Hesse(Bool_t flag) – Flag controls if HESSE is run after MIGRAD, on by default Minos(Bool_t flag) – Flag controls if MINOS is run after HESSE, off by default Minos(const RooArgSet& set) – Only run MINOS on given subset of arguments Save(Bool_t flag) – Flac controls if RooFitResult object is produced and returned, off by default Strategy(Int_t flag) – Set Minuit strategy (0 through 2, default is 1) FitOptions(const char* optStr) – Steer fit with classic options string (for backward compatibility). Use of this option excludes use of any of the new style steering options.
SumW2Error(Bool_t flag) – Apply correaction to errors and covariance matrix using sum-of-weights covariance matrix to obtain correct error for weighted likelihood fits. If this option is activated the corrected covariance matrix is calculated as Vcorr = V C-1 V, where V is the original covariance matrix and C is the inverse of the covariance matrix calculated using the weights squared
Verbose(Bool_t flag) – Flag controls if verbose output is printed (NLL, parameter changes during fit Timer(Bool_t flag) – Time CPU and wall clock consumption of fit steps, off by default PrintLevel(Int_t level) – Set Minuit print level (-1 through 3, default is 1). At -1 all RooFit informational messages are suppressed as well Warnings(Bool_t flag) – Enable or disable MINUIT warnings (enabled by default) PrintEvalErrors(Int_t numErr) – Control number of p.d.f evaluation errors printed per likelihood evaluation. A negative value suppress output completely, a zero value will only print the error count per p.d.f component, a positive value is will print details of each error up to numErr messages per p.d.f component.
Definition at line 1056 of file RooAbsPdf.cxx.
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Fit PDF to given dataset.
If dataset is unbinned, an unbinned maximum likelihood is performed. If the dataset is binned, a binned maximum likelihood is performed. By default the fit is executed through the MINUIT commands MIGRAD, HESSE and MINOS in succession.
See RooAbsPdf::fitTo(RooAbsData& data, RooCmdArg arg1, RooCmdArg arg2, RooCmdArg arg3, RooCmdArg arg4, RooCmdArg arg5, RooCmdArg arg6, RooCmdArg arg7, RooCmdArg arg8)
for documentation of options
Definition at line 1079 of file RooAbsPdf.cxx.
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Interface function to create a generator context from a p.d.f.
This default implementation returns a 'standard' context that works for any p.d.f
Reimplemented in RooProdPdf, RooAddPdf, RooFFTConvPdf, RooSimultaneous, RooAddModel, RooAbsAnaConvPdf, RooNumConvPdf, and RooEffProd.
Definition at line 1638 of file RooAbsPdf.cxx.
RooDataSet * RooAbsPdf::generate | ( | const RooArgSet & | whatVars, |
Int_t | nEvents, | ||
const RooCmdArg & | arg1, | ||
const RooCmdArg & | arg2 = RooCmdArg::none() , |
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const RooCmdArg & | arg3 = RooCmdArg::none() , |
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const RooCmdArg & | arg4 = RooCmdArg::none() , |
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const RooCmdArg & | arg5 = RooCmdArg::none() |
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) |
Generate a new dataset containing the specified variables with events sampled from our distribution.
Generate the specified number of events or expectedEvents() if not specified.
Any variables of this PDF that are not in whatVars will use their current values and be treated as fixed parameters. Returns zero in case of an error. The caller takes ownership of the returned dataset.
The following named arguments are supported
Name(const char* name) – Name of the output dataset Verbose(Bool_t flag) – Print informational messages during event generation Extended() – The actual number of events generated will be sampled from a Poisson distribution with mu=nevt. For use with extended maximum likelihood fits AutoBinned(Bool_t flag) – Automatically deploy binned generation for binned distributions (e.g. RooHistPdf, sums and products of RooHistPdfs etc) NB: Datasets that are generated in binned mode are returned as weighted unbinned datasets
GenBinned(const char* tag) – Use binned generation for all component pdfs that have 'setAttribute(tag)' set AllBinned() – As above, but for all components.
Note that the notion of components is only meaningful for simultaneous pdf as binned generation is always executed at the top-level node for a regular pdf, so for those it only mattes that the top-level node is tagged.
ProtoData(const RooDataSet& data, – Use specified dataset as prototype dataset. If randOrder is set to true Bool_t randOrder) the order of the events in the dataset will be read in a random order if the requested number of events to be generated does not match the number of events in the prototype dataset
If ProtoData() is used, the specified existing dataset as a prototype: the new dataset will contain the same number of events as the prototype (unless otherwise specified), and any prototype variables not in whatVars will be copied into the new dataset for each generated event and also used to set our PDF parameters. The user can specify a number of events to generate that will override the default. The result is a copy of the prototype dataset with only variables in whatVars randomized. Variables in whatVars that are not in the prototype will be added as new columns to the generated dataset.
Definition at line 1702 of file RooAbsPdf.cxx.
RooDataSet * RooAbsPdf::generate | ( | const RooArgSet & | whatVars, |
const RooCmdArg & | arg1 = RooCmdArg::none() , |
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const RooCmdArg & | arg2 = RooCmdArg::none() , |
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const RooCmdArg & | arg3 = RooCmdArg::none() , |
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const RooCmdArg & | arg4 = RooCmdArg::none() , |
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const RooCmdArg & | arg5 = RooCmdArg::none() , |
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const RooCmdArg & | arg6 = RooCmdArg::none() |
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Generate a new dataset containing the specified variables with events sampled from our distribution.
Generate the specified number of events or expectedEvents() if not specified.
Any variables of this PDF that are not in whatVars will use their current values and be treated as fixed parameters. Returns zero in case of an error. The caller takes ownership of the returned dataset.
The following named arguments are supported
Name(const char* name) – Name of the output dataset Verbose(Bool_t flag) – Print informational messages during event generation NumEvent(int nevt) – Generate specified number of events
AutoBinned(Bool_t flag) – Automatically deploy binned generation for binned distributions (e.g. RooHistPdf, sums and products of RooHistPdfs etc) NB: Datasets that are generated in binned mode are returned as weighted unbinned datasets
GenBinned(const char* tag) – Use binned generation for all component pdfs that have 'setAttribute(tag)' set AllBinned() – As above, but for all components.
Note that the notion of components is only meaningful for simultaneous pdf as binned generation is always executed at the top-level node for a regular pdf, so for those it only mattes that the top-level node is tagged. Binned generation cannot be used when prototype data is supplied
Extended() – The actual number of events generated will be sampled from a Poisson distribution with mu=nevt. For use with extended maximum likelihood fits ProtoData(const RooDataSet& data, – Use specified dataset as prototype dataset. If randOrder is set to true Bool_t randOrder, the order of the events in the dataset will be read in a random order Bool_t resample) if the requested number of events to be generated does not match the number of events in the prototype dataset. If resample is also set to true, the prototype dataset will be resampled rather than be strictly reshuffled. In this mode events of the protodata may be used more than once.
If ProtoData() is used, the specified existing dataset as a prototype: the new dataset will contain the same number of events as the prototype (unless otherwise specified), and any prototype variables not in whatVars will be copied into the new dataset for each generated event and also used to set our PDF parameters. The user can specify a number of events to generate that will override the default. The result is a copy of the prototype dataset with only variables in whatVars randomized. Variables in whatVars that are not in the prototype will be added as new columns to the generated dataset.
Definition at line 1753 of file RooAbsPdf.cxx.
RooDataSet * RooAbsPdf::generate | ( | const RooArgSet & | whatVars, |
Double_t | nEvents = 0 , |
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Bool_t | verbose = kFALSE , |
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Bool_t | autoBinned = kTRUE , |
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const char * | binnedTag = "" , |
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Bool_t | expectedData = kFALSE , |
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Bool_t | extended = kFALSE |
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) | const |
Generate a new dataset containing the specified variables with events sampled from our distribution.
Generate the specified number of events or else try to use expectedEvents() if nEvents <= 0. Any variables of this PDF that are not in whatVars will use their current values and be treated as fixed parameters. Returns zero in case of an error. The caller takes ownership of the returned dataset.
Definition at line 1959 of file RooAbsPdf.cxx.
RooDataSet * RooAbsPdf::generate | ( | const RooArgSet & | whatVars, |
const RooDataSet & | prototype, | ||
Int_t | nEvents = 0 , |
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Bool_t | verbose = kFALSE , |
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Bool_t | randProtoOrder = kFALSE , |
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Bool_t | resampleProto = kFALSE |
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) | const |
Generate a new dataset with values of the whatVars variables sampled from our distribution.
Use the specified existing dataset as a prototype: the new dataset will contain the same number of events as the prototype (by default), and any prototype variables not in whatVars will be copied into the new dataset for each generated event and also used to set our PDF parameters. The user can specify a number of events to generate that will override the default. The result is a copy of the prototype dataset with only variables in whatVars randomized. Variables in whatVars that are not in the prototype will be added as new columns to the generated dataset. Returns zero in case of an error. The caller takes ownership of the returned dataset.
Definition at line 2036 of file RooAbsPdf.cxx.
RooDataSet * RooAbsPdf::generate | ( | RooAbsPdf::GenSpec & | spec | ) | const |
Generate data according to a pre-configured specification created by RooAbsPdf::prepareMultiGen().
If many identical generation requests are needed, e.g. in toy MC studies, it is more efficient to use the prepareMultiGen()/generate() combination than calling the standard generate() multiple times as initialization overhead is only incurred once.
Definition at line 1932 of file RooAbsPdf.cxx.
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Internal method.
Definition at line 1988 of file RooAbsPdf.cxx.
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Generate a new dataset containing the specified variables with events sampled from our distribution.
Generate the specified number of events or expectedEvents() if not specified.
Any variables of this PDF that are not in whatVars will use their current values and be treated as fixed parameters. Returns zero in case of an error. The caller takes ownership of the returned dataset.
The following named arguments are supported
Name(const char* name) – Name of the output dataset Verbose(Bool_t flag) – Print informational messages during event generation Extended() – The actual number of events generated will be sampled from a Poisson distribution with mu=nevt. For use with extended maximum likelihood fits ExpectedData() – Return a binned dataset without statistical fluctuations (also aliased as Asimov())
Definition at line 2175 of file RooAbsPdf.cxx.
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Generate a new dataset containing the specified variables with events sampled from our distribution.
Generate the specified number of events or expectedEvents() if not specified.
Any variables of this PDF that are not in whatVars will use their current values and be treated as fixed parameters. Returns zero in case of an error. The caller takes ownership of the returned dataset.
The following named arguments are supported
Name(const char* name) – Name of the output dataset Verbose(Bool_t flag) – Print informational messages during event generation NumEvent(int nevt) – Generate specified number of events Extended() – The actual number of events generated will be sampled from a Poisson distribution with mu=nevt. For use with extended maximum likelihood fits ExpectedData() – Return a binned dataset without statistical fluctuations (also aliased as Asimov())
Definition at line 2201 of file RooAbsPdf.cxx.
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Generate a new dataset containing the specified variables with events sampled from our distribution.
Generate the specified number of events or else try to use expectedEvents() if nEvents <= 0.
If expectedData is kTRUE (it is kFALSE by default), the returned histogram returns the 'expected' data sample, i.e. no statistical fluctuations are present.
Any variables of this PDF that are not in whatVars will use their current values and be treated as fixed parameters. Returns zero in case of an error. The caller takes ownership of the returned dataset.
Definition at line 2271 of file RooAbsPdf.cxx.
Interface for generation of anan event using the algorithm corresponding to the specified code.
The meaning of each code is defined by the getGenerator() implementation. The default implementation does nothing.
Reimplemented in RooNonCPEigenDecay, RooAddModel, RooProdPdf, RooGExpModel, RooGaussModel, RooBDecay, RooTruthModel, RooBCPGenDecay, RooMultiVarGaussian, RooBCPEffDecay, RooBMixDecay, RooProjectedPdf, RooDecay, RooGaussian, RooUniform, RooGamma, RooLandau, RooLognormal, and RooPoisson.
Definition at line 2123 of file RooAbsPdf.cxx.
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Special generator interface for generation of 'global observables' – for RooStats tools.
Reimplemented in RooSimultaneous.
Definition at line 2383 of file RooAbsPdf.cxx.
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This helper function finds and collects all constraints terms of all coponent p.d.f.s and returns a RooArgSet with all those terms.
Definition at line 3123 of file RooAbsPdf.cxx.
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Reimplemented in RooProdPdf.
Definition at line 168 of file RooAbsPdf.h.
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Load generatedVars with the subset of directVars that we can generate events for, and return a code that specifies the generator algorithm we will use.
A code of zero indicates that we cannot generate any of the directVars (in this case, nothing should be added to generatedVars). Any non-zero codes will be passed to our generateEvent() implementation, but otherwise its value is arbitrary. The default implemetation of this method returns zero. Subclasses will usually implement this method using the matchArgs() methods to advertise the algorithms they provide.
Reimplemented in RooNonCPEigenDecay, RooAddModel, RooProdPdf, RooGExpModel, RooGaussModel, RooBDecay, RooTruthModel, RooBCPGenDecay, RooMultiVarGaussian, RooBCPEffDecay, RooBMixDecay, RooDecay, RooGaussian, RooProjectedPdf, RooUniform, RooGamma, RooLandau, RooLognormal, and RooPoisson.
Definition at line 2101 of file RooAbsPdf.cxx.
const RooNumGenConfig * RooAbsPdf::getGeneratorConfig | ( | ) | const |
Return the numeric MC generator 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 3218 of file RooAbsPdf.cxx.
Return the log of the current value with given normalization An error message is printed if the argument of the log is negative.
Reimplemented in RooGaussian, RooPoisson, and RooHistConstraint.
Definition at line 606 of file RooAbsPdf.cxx.
Definition at line 190 of file RooAbsPdf.h.
Return the integral of this PDF over all observables listed in 'nset'.
Reimplemented in RooResolutionModel.
Definition at line 376 of file RooAbsPdf.cxx.
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Definition at line 248 of file RooAbsPdf.h.
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Return pointer to RooAbsReal object that implements calculation of integral over observables iset in range rangeName, optionally taking the integrand normalized over observables nset.
Definition at line 400 of file RooAbsPdf.cxx.
Return current value, normalizated by integrating over the observables in 'nset'.
If 'nset' is 0, the unnormalized value. is returned. All elements of 'nset' must be lvalues
Unnormalized values are not cached Doing so would be complicated as _norm->getVal() could spoil the cache and interfere with returning the cached return value. Since unnormalized calls are typically done in integration calls, there is no performance hit.
Reimplemented from RooAbsReal.
Reimplemented in RooProdPdf, RooResolutionModel, RooAbsCachedPdf, RooProjectedPdf, and RooEffProd.
Definition at line 252 of file RooAbsPdf.cxx.
Interface for one-time initialization to setup the generator for the specified code.
Reimplemented in RooNonCPEigenDecay, RooProdPdf, RooBCPGenDecay, RooMultiVarGaussian, RooBCPEffDecay, RooBMixDecay, and RooProjectedPdf.
Definition at line 2111 of file RooAbsPdf.cxx.
Check if given observable can be safely generated using the pdfs internal generator mechanism (if that existsP).
Observables on which a PDF depends via more than route are not safe for use with internal generators because they introduce correlations not known to the internal generator
Reimplemented in RooAddModel, RooProdPdf, and RooAbsAnaConvPdf.
Definition at line 2136 of file RooAbsPdf.cxx.
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Definition at line 220 of file RooAbsPdf.h.
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Definition at line 243 of file RooAbsPdf.h.
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Add a box with parameter values (and errors) to the specified frame.
The following named arguments are supported
Parameters(const RooArgSet& param) – Only the specified subset of parameters will be shown. By default all non-contant parameters are shown ShowConstants(Bool_t flag) – Also display constant parameters Format(const char* optStr) – Classing [arameter formatting options, provided for backward compatibility Format(const char* what,...) – Parameter formatting options, details given below Label(const chat* label) – Add header label to parameter box Layout(Double_t xmin, – Specify relative position of left,right side of box and top of box. Position of Double_t xmax, Double_t ymax) bottom of box is calculated automatically from number lines in box
The Format(const char* what,...) has the following structure
const char* what – Controls what is shown. "N" adds name, "E" adds error, "A" shows asymmetric error, "U" shows unit, "H" hides the value FixedPrecision(int n) – Controls precision, set fixed number of digits AutoPrecision(int n) – Controls precision. Number of shown digits is calculated from error
Example use: pdf.paramOn(frame, Label("fit result"), Format("NEU",AutoPrecision(1)) ) ;
Definition at line 2779 of file RooAbsPdf.cxx.
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OBSOLETE FUNCTION PROVIDED FOR BACKWARD COMPATIBILITY.
Definition at line 2852 of file RooAbsPdf.cxx.
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Add a text box with the current parameter values and their errors to the frame.
Observables of this PDF appearing in the 'data' dataset will be omitted.
Optional label will be inserted as first line of the text box. Use 'sigDigits' to modify the default number of significant digits printed. The 'xmin,xmax,ymax' values specify the inital relative position of the text box in the plot frame
Definition at line 2873 of file RooAbsPdf.cxx.
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Plot (project) PDF on specified frame.
If a PDF is plotted in an empty frame, it will show a unit normalized curve in the frame variable, taken at the present value of other observables defined for this PDF
If a PDF is plotted in a frame in which a dataset has already been plotted, it will show a projected curve integrated over all variables that were present in the shown dataset except for the one on the x-axis. The normalization of the curve will also be adjusted to the event count of the plotted dataset. An informational message will be printed for each projection step that is performed
This function takes the following named arguments
Slice(const RooArgSet& set) – Override default projection behaviour by omittting observables listed in set from the projection, resulting a 'slice' plot. Slicing is usually only sensible in discrete observables. The slice is position at the 'current' value of the observable objects
Slice(RooCategory& cat, – Override default projection behaviour by omittting specified category const char* label) observable from the projection, resulting in a 'slice' plot. The slice is positioned at the given label value. Multiple Slice() commands can be given to specify slices in multiple observables
Project(const RooArgSet& set) – Override default projection behaviour by projecting over observables given in set and complete 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, – As above but only consider subset 's' of observables in dataset 'd' for projection through data averaging const RooAbsData& d)
ProjectionRange(const char* rn) – Override default range of projection integrals to a different range speficied by given range name. This technique allows you to project a finite width slice in a real-valued observable
NumCPU(Int_t ncpu) – Number of CPUs to use simultaneously to calculate data-weighted projections (only in combination with ProjWData)
PrintEvalErrors(Int_t numErr) – Control number of p.d.f evaluation errors printed per curve. A negative value suppress output completely, a zero value will only print the error count per p.d.f component, a positive value is will print details of each error up to numErr messages per p.d.f component.
EvalErrorValue(Double_t value) – Set curve points at which (pdf) evaluation error occur to specified value. By default the function value is plotted.
Normalization(Double_t scale, – Adjust normalization by given scale factor. Interpretation of number depends on code: Relative: ScaleType code) relative adjustment factor, NumEvent: scale to match given number of events.
Name(const chat* name) – Give curve specified name in frame. Useful if curve is to be referenced later
Asymmetry(const RooCategory& c) – Show the asymmetry of the PDF in given two-state category [F(+)-F(-)] / [F(+)+F(-)] rather than the PDF projection. Category must have two states with indices -1 and +1 or three states with indeces -1,0 and +1.
ShiftToZero(Bool_t flag) – Shift entire curve such that lowest visible point is at exactly zero. Mostly useful when plotting -log(L) or chi^2 distributions
AddTo(const char* name, – Add constructed projection to already existing curve with given name and relative weight factors double_t wgtSelf, double_t wgtOther)
DrawOption(const char* opt) – Select ROOT draw option for resulting TGraph object
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
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 FillColor(Int_t color) – Select fill color by ROOT color code
Range(const char* name) – Only draw curve in range defined by given name
Range(double lo, double hi) – Only draw curve in specified range
VLines() – Add vertical lines to y=0 at end points of curve
Precision(Double_t eps) – Control precision of drawn curve w.r.t to scale of plot, default is 1e-3. Higher precision will result in more and more densely spaced curve points
Invisible(Bool_t flag) – Add curve to frame, but do not display. Useful in combination AddTo()
VisualizeError(const RooFitResult& fitres, Double_t Z=1, Bool_t linearMethod=kTRUE) – Visualize the uncertainty on the parameters, as given in fitres, at 'Z' sigma'
VisualizeError(const RooFitResult& fitres, const RooArgSet& param, Double_t Z=1, Bool_t linearMethod=kTRUE) ; – Visualize the uncertainty on the subset of parameters 'param', as given in fitres, at 'Z' sigma'
By default (linMethod=kTRUE) a linearized error is shown which is calculated as follows T error(x) = Z* F_a(x) * Corr(a,a') F_a'(x)
where F_a(x) = [ f(x,a+da) - f(x,a-da) ] / 2, with f(x) the plotted curve and 'da' taken from the fit result Corr(a,a') = the correlation matrix from the fit result Z = requested significance '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 (linMethod=kFALSE), a more robust error is calculated using a sampling method. In this method a number of curves is calculated with variations of the parameter values, as drawn from a multi-variate Gaussian p.d.f. that is constructed from the fit results covariance matrix. The error(x) is determined by calculating a central interval that capture N% of the variations for each valye of x, where N% is controlled by Z (i.e. Z=1 gives N=68%). The number of sampling curves is chosen to be such that at least 30 curves are expected to be outside the N% interval, and is minimally 100 (e.g. Z=1->Ncurve=100, Z=2->Ncurve=659, Z=3->Ncurve=11111) Intervals from the sampling method can be asymmetric, and may perform better in the presence of strong correlations, but may take (much) longer to calculate
Reimplemented from RooAbsReal.
Reimplemented in RooSimultaneous.
Definition at line 105 of file RooAbsPdf.h.
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Plot (project) PDF on specified frame.
If a PDF is plotted in an empty frame, it will show a unit normalized curve in the frame variable, taken at the present value of other observables defined for this PDF
If a PDF is plotted in a frame in which a dataset has already been plotted, it will show a projected curve integrated over all variables that were present in the shown dataset except for the one on the x-axis. The normalization of the curve will also be adjusted to the event count of the plotted dataset. An informational message will be printed for each projection step that is performed
This function takes the following named arguments
Slice(const RooArgSet& set) – Override default projection behaviour by omittting observables listed in set from the projection, resulting a 'slice' plot. Slicing is usually only sensible in discrete observables Project(const RooArgSet& set) – Override default projection behaviour by projecting over observables given in set and complete 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, – As above but only consider subset 's' of observables in dataset 'd' for projection through data averaging const RooAbsData& d) ProjectionRange(const char* rn) – Override default range of projection integrals to a different range speficied by given range name. This technique allows you to project a finite width slice in a real-valued observable NormRange(const char* name) – Calculate curve normalization w.r.t. only in specified ranges. NB: A Range() by default implies a NormRange() on the same range, but this option allows to override the default, or specify a normalization ranges when the full curve is to be drawn
Normalization(Double_t scale, – Adjust normalization by given scale factor. Interpretation of number depends on code: Relative: ScaleType code) relative adjustment factor, NumEvent: scale to match given number of events. Name(const chat* name) – Give curve specified name in frame. Useful if curve is to be referenced later Asymmetry(const RooCategory& c) – Show the asymmetry of the PDF in given two-state category [F(+)-F(-)] / [F(+)+F(-)] rather than the PDF projection. Category must have two states with indices -1 and +1 or three states with indeces -1,0 and +1. ShiftToZero(Bool_t flag) – Shift entire curve such that lowest visible point is at exactly zero. Mostly useful when plotting -log(L) or chi^2 distributions AddTo(const char* name, – Add constructed projection to already existing curve with given name and relative weight factors double_t wgtSelf, double_t wgtOther)
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 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 FillColor(Int_t color) – Select fill color by ROOT color code Range(const char* name) – Only draw curve in range defined by given name Range(double lo, double hi) – Only draw curve in specified range VLines() – Add vertical lines to y=0 at end points of curve Precision(Double_t eps) – Control precision of drawn curve w.r.t to scale of plot, default is 1e-3. Higher precision will result in more and more densely spaced curve points A negative precision value will disable adaptive point spacing and restrict sampling to the grid point of points defined by the binning of the plotted observabled (recommended for expensive functions such as profile likelihoods) Invisble(Bool_t flag) – Add curve to frame, but do not display. Useful in combination AddTo()
Reimplemented from RooAbsReal.
Reimplemented in RooSimultaneous.
Definition at line 2452 of file RooAbsPdf.cxx.
Reimplemented from RooAbsReal.
Definition at line 2705 of file RooAbsPdf.cxx.
RooAbsPdf::GenSpec * RooAbsPdf::prepareMultiGen | ( | const RooArgSet & | whatVars, |
const RooCmdArg & | arg1 = RooCmdArg::none() , |
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const RooCmdArg & | arg2 = RooCmdArg::none() , |
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const RooCmdArg & | arg3 = RooCmdArg::none() , |
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const RooCmdArg & | arg4 = RooCmdArg::none() , |
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const RooCmdArg & | arg5 = RooCmdArg::none() , |
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const RooCmdArg & | arg6 = RooCmdArg::none() |
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Prepare GenSpec configuration object for efficient generation of multiple datasets from idetical specification This method does not perform any generation.
To generate according to generations specification call RooAbsPdf::generate(RooAbsPdf::GenSpec&)
Generate the specified number of events or expectedEvents() if not specified.
Any variables of this PDF that are not in whatVars will use their current values and be treated as fixed parameters. Returns zero in case of an error. The caller takes ownership of the returned dataset.
The following named arguments are supported
Name(const char* name) – Name of the output dataset Verbose(Bool_t flag) – Print informational messages during event generation NumEvent(int nevt) – Generate specified number of events
Definition at line 1855 of file RooAbsPdf.cxx.
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Print multi line detailed information of this RooAbsPdf.
Reimplemented from RooAbsReal.
Reimplemented in RooResolutionModel, RooAbsAnaConvPdf, and RooGenericPdf.
Definition at line 1611 of file RooAbsPdf.cxx.
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Print value of p.d.f, also print normalization integral that was last used, if any.
Reimplemented from RooAbsReal.
Definition at line 1595 of file RooAbsPdf.cxx.
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Raise the evaluation error flag.
Definition at line 3170 of file RooAbsPdf.cxx.
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Return lookup table with randomized access order for prototype events, given nProto prototype data events and nGen events that will actually be accessed.
Definition at line 2057 of file RooAbsPdf.cxx.
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Reimplemented from RooAbsArg.
Reimplemented in RooProdPdf, RooFFTConvPdf, RooResolutionModel, RooProjectedPdf, and RooGenericPdf.
Definition at line 316 of file RooAbsPdf.h.
Reset error counter to given value, limiting the number of future error messages for this pdf to 'resetValue'.
Reimplemented in RooAddPdf, and RooAddModel.
Definition at line 568 of file RooAbsPdf.cxx.
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Reimplemented in RooHistPdf, RooProdPdf, RooRealSumPdf, RooAddPdf, RooSimultaneous, RooAddModel, RooMomentMorph, RooExtendPdf, RooProjectedPdf, RooIntegralMorph, and RooAbsCachedPdf.
Definition at line 202 of file RooAbsPdf.h.
void RooAbsPdf::setGeneratorConfig | ( | ) |
Remove the specialized numeric MC generator configuration associated with this object.
Definition at line 3245 of file RooAbsPdf.cxx.
void RooAbsPdf::setGeneratorConfig | ( | const RooNumGenConfig & | config | ) |
Set the given configuration as default numeric MC generator configuration for this object.
Definition at line 3231 of file RooAbsPdf.cxx.
void RooAbsPdf::setNormRange | ( | const char * | rangeName | ) |
Definition at line 3276 of file RooAbsPdf.cxx.
void RooAbsPdf::setNormRangeOverride | ( | const char * | rangeName | ) |
Definition at line 3293 of file RooAbsPdf.cxx.
Reset trace counter to given value, limiting the number of future trace messages for this pdf to 'value'.
Definition at line 580 of file RooAbsPdf.cxx.
RooNumGenConfig * RooAbsPdf::specialGeneratorConfig | ( | ) | const |
Returns the specialized integrator configuration for this RooAbsReal.
If this object has no specialized configuration, a null pointer is returned
Definition at line 3190 of file RooAbsPdf.cxx.
RooNumGenConfig * RooAbsPdf::specialGeneratorConfig | ( | Bool_t | createOnTheFly | ) |
Returns the specialized integrator configuration for this RooAbsReal.
If this object has no specialized configuration, a null pointer is returned, unless createOnTheFly is kTRUE in which case a clone of the default integrator configuration is created, installed as specialized configuration, and returned
Definition at line 3203 of file RooAbsPdf.cxx.
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Verify that the normalization integral cached with this PDF is valid for given set of normalization observables.
If not, the cached normalization integral (if any) is deleted and a new integral is constructed for use with 'nset' Elements in 'nset' can be discrete and real, but must be lvalues
For functions that declare to be self-normalized by overloading the selfNormalized() function, a unit normalization is always constructed
Definition at line 435 of file RooAbsPdf.cxx.
WVE 08/21/01 Probably obsolete now.
Reimplemented from RooAbsReal.
Reimplemented in RooResolutionModel.
Definition at line 534 of file RooAbsPdf.cxx.
Check that passed value is positive and not 'not-a-number'.
If not, print an error, until the error counter reaches its set maximum.
Definition at line 341 of file RooAbsPdf.cxx.
Change global level of verbosity for p.d.f. evaluations.
Definition at line 2940 of file RooAbsPdf.cxx.
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Return global level of verbosity for p.d.f. evaluations.
Definition at line 2950 of file RooAbsPdf.cxx.
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Definition at line 314 of file RooAbsPdf.h.
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Definition at line 299 of file RooAbsPdf.h.
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Definition at line 278 of file RooAbsPdf.h.
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Definition at line 284 of file RooAbsPdf.h.
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Definition at line 282 of file RooAbsPdf.h.
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Definition at line 277 of file RooAbsPdf.h.
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Definition at line 290 of file RooAbsPdf.h.
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Definition at line 286 of file RooAbsPdf.h.
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Definition at line 279 of file RooAbsPdf.h.
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Definition at line 285 of file RooAbsPdf.h.
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Definition at line 294 of file RooAbsPdf.h.
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Definition at line 280 of file RooAbsPdf.h.
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Definition at line 281 of file RooAbsPdf.h.
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Definition at line 283 of file RooAbsPdf.h.
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Definition at line 324 of file RooAbsPdf.h.
Definition at line 335 of file RooAbsPdf.h.
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Definition at line 329 of file RooAbsPdf.h.
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Definition at line 301 of file RooAbsPdf.h.
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mutableprotected |
Definition at line 312 of file RooAbsPdf.h.
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MC generator configuration specific for this object.
Definition at line 339 of file RooAbsPdf.h.
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Definition at line 340 of file RooAbsPdf.h.
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Normalization integral (owned by _normMgr)
Definition at line 302 of file RooAbsPdf.h.
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mutableprotected |
Definition at line 300 of file RooAbsPdf.h.
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Definition at line 331 of file RooAbsPdf.h.
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Definition at line 337 of file RooAbsPdf.h.
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Definition at line 328 of file RooAbsPdf.h.
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Definition at line 295 of file RooAbsPdf.h.