41 const RooArgSet& dependents,
const char* genOptions=
"",
42 const char* fitOptions=
"",
const RooDataSet* genProtoData=0,
#define ClassDef(name, id)
float type_of_call hi(const int &, const int &)
RooAbsData is the common abstract base class for binned and unbinned datasets.
RooAbsGenContext is the abstract base class for generator contexts of RooAbsPdf objects.
RooAbsMCStudyModule is a base class for add-on modules to RooMCStudy that can perform additional calc...
RooArgSet is a container object that can hold multiple RooAbsArg objects.
RooCmdArg is a named container for two doubles, two integers two object points and three string point...
static const RooCmdArg & none()
Return reference to null argument.
RooDataSet is a container class to hold unbinned data.
RooFitResult is a container class to hold the input and output of a PDF fit to a dataset.
RooLinkedList is an collection class for internal use, storing a collection of RooAbsArg pointers in ...
RooMCStudy is a helper class to facilitate Monte Carlo studies such as 'goodness-of-fit' studies,...
const RooArgSet * fitParams(Int_t sampleNum) const
Return an argset with the fit parameters for the given sample number.
RooPlot * plotParamOn(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())
Plot the distribution of fitted values of a parameter.
void calcPulls()
Calculate the pulls for all fit parameters in the fit results data set, and add them to that dataset.
RooPlot * plotPull(const RooRealVar ¶m, 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())
Plot the distribution of pull values for the specified parameter on a newly created frame.
RooPlot * plotError(const RooRealVar ¶m, 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())
Plot the distribution of the fit errors for the specified parameter on a newly created frame.
Bool_t addFitResult(const RooFitResult &fr)
Utility function to add fit result from external fit to this RooMCStudy and process its results throu...
Bool_t run(Bool_t generate, Bool_t fit, Int_t nSamples, Int_t nEvtPerSample, Bool_t keepGenData, const char *asciiFilePat)
Run engine method.
RooPlot * plotParam(const RooRealVar ¶m, 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())
Plot the distribution of the fitted value of the given parameter on a newly created frame.
RooMCStudy(const RooAbsPdf &model, const RooArgSet &observables, 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 Monte Carlo Study Manager.
std::list< RooAbsMCStudyModule * > _modList
RooAbsGenContext * _constrGenContext
RooFitResult * refit(RooAbsData *genSample=0)
Redo fit on 'current' toy sample, or if genSample is not NULL do fit on given sample instead.
RooPlot * plotNLL(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())
Plot the distribution of the -log(L) values on a newly created frame.
Bool_t fitSample(RooAbsData *genSample)
Internal method.
const RooDataSet * _genProtoData
const RooFitResult * fitResult(Int_t sampleNum) const
Return the RooFitResult object of the fit to given sample.
RooAbsGenContext * _genContext
RooArgSet * _fitInitParams
RooPlot * makeFrameAndPlotCmd(const RooRealVar ¶m, RooLinkedList &cmdList, Bool_t symRange=kFALSE) const
Internal function.
virtual void RecursiveRemove(TObject *obj)
If one of the TObject we have a referenced to is deleted, remove the reference.
RooAbsData * genData(Int_t sampleNum) const
Return the given generated dataset.
RooArgSet * _genInitParams
const RooDataSet * genParDataSet() const
const RooDataSet & fitParDataSet()
Return a RooDataSet the resulting fit parameters of each toy cycle.
RooLinkedList _fitOptList
Bool_t generate(Int_t nSamples, Int_t nEvtPerSample=0, Bool_t keepGenData=kFALSE, const char *asciiFilePat=0)
Generate 'nSamples' samples of 'nEvtPerSample' events.
void resetFitParams()
Reset all fit parameters to the initial model parameters at the time of the RooMCStudy constructor.
Bool_t generateAndFit(Int_t nSamples, Int_t nEvtPerSample=0, Bool_t keepGenData=kFALSE, const char *asciiFilePat=0)
Generate and fit 'nSamples' samples of 'nEvtPerSample' events.
Bool_t fit(Int_t nSamples, const char *asciiFilePat)
Fit 'nSamples' datasets, which are read from ASCII files.
void addModule(RooAbsMCStudyModule &module)
Insert given RooMCStudy add-on module to the processing chain of this MCStudy object.
RooFitResult * doFit(RooAbsData *genSample)
Internal function. Performs actual fit according to specifications.
RooMCStudy(const RooMCStudy &)
A RooPlot is a plot frame and a container for graphics objects within that frame.
RooRealVar represents a fundamental (non-derived) real valued object.
The TNamed class is the base class for all named ROOT classes.
Mother of all ROOT objects.