123 pc.
defineSet(
"condObs",
"ProjectedObservables",0,
nullptr) ;
124 pc.
defineObject(
"protoData",
"PrototypeData",0,
nullptr) ;
125 pc.
defineSet(
"cPars",
"Constrain",0,
nullptr) ;
126 pc.
defineSet(
"extCons",
"ExternalConstraints",0,
nullptr) ;
128 pc.
defineInt(
"randProtoData",
"PrototypeData",0,0) ;
129 pc.
defineInt(
"verboseGen",
"Verbose",0,0) ;
130 pc.
defineInt(
"extendedGen",
"Extended",0,0) ;
131 pc.
defineInt(
"binGenData",
"Binned",0,0) ;
138 throw std::string(
"RooMCStudy::RooMCStudy() Error in parsing arguments passed to constructor") ;
163 cPars->
add(*cParsTmp) ;
178 if (std::unique_ptr<RooArgSet> constraints{model.
getAllConstraints(observables,*cPars,
true)}) {
179 allConstraints.
add(*constraints) ;
184 if (!allConstraints.
empty()) {
185 _constrPdf = std::make_unique<RooProdPdf>(
"mcs_constr_prod",
"RooMCStudy constraints product",allConstraints);
188 consPars.
add(*cPars) ;
194 consPars.
add(cparams) ;
200 coutI(Generation) <<
"RooMCStudy::RooMCStudy: INFO have pdf with constraints, will generate parameters from constraint pdf for each experiment" << std::endl ;
211 if (
auto condObs = pc.
getSet(
"condObs",
nullptr)) {
221 oocoutW(
_fitModel,Generation) <<
"RooMCStudy::RooMCStudy: WARNING Using generator option 'e' (Poisson distribution of #events) together " << std::endl
222 <<
" with a prototype dataset implies incomplete sampling or oversampling of proto data." << std::endl
223 <<
" Use option \"r\" to randomize prototype dataset order and thus to randomize" << std::endl
224 <<
" the set of over/undersampled prototype events for each generation cycle." << std::endl ;
242 _nllVar = std::make_unique<RooRealVar>(
"NLL",
"-log(Likelihood)",0);
245 _ngenVar = std::make_unique<RooRealVar>(
"ngen",
"number of generated events",0);
262 _fitParData = std::make_unique<RooDataSet>(fpdName,
"Fit Parameters DataSet",tmp2);
277 bool ok = (*iter)->doInitializeInstance(*
this) ;
279 oocoutE(
_fitModel,Generation) <<
"RooMCStudy::ctor: removing study module " << (*iter)->GetName() <<
" from analysis chain because initialization failed" << std::endl ;
331 mod->initializeRun(nSamples) ;
334 int prescale = nSamples>100 ?
int(nSamples/100) : 1 ;
338 if (nSamples%prescale==0) {
346 std::unique_ptr<RooAbsData> ownedGenSample;
348 bool existingData = false ;
351 int nEvt(nEvtPerSample) ;
368 mod->processBeforeGen(nSamples) ;
392 oocoutI(
_fitModel,Generation) <<
"RooMCStudy: (Re)randomizing event order in prototype dataset (Nevt=" << nEvt <<
")" << std::endl ;
400 ownedGenSample = std::unique_ptr<RooAbsData>{
_genContext->generate(nEvt)};
403 ownedGenSample = std::make_unique<RooDataSet>(
"emptySample",
"emptySample",
_dependents);
410 }
else if (asciiFilePat) {
413 char asciiFile[1024] ;
414 snprintf(asciiFile,1024,asciiFilePat,nSamples) ;
416 ownedGenSample = std::unique_ptr<RooDataSet>{
RooDataSet::read(asciiFile,depList,
"q")};
423 existingData = true ;
425 oocoutW(
_fitModel,Generation) <<
"RooMCStudy::run: WARNING: Sample #" << nSamples <<
" not loaded, skipping" << std::endl ;
435 mod->processBetweenGenAndFit(nSamples) ;
442 mod->processAfterFit(nSamples) ;
446 if (doGenerate && asciiFilePat && *asciiFilePat) {
447 char asciiFile[1024] ;
448 snprintf(asciiFile,1024,asciiFilePat,nSamples) ;
450 unbinnedData->write(asciiFile) ;
452 coutE(InputArguments) <<
"RooMCStudy::run(" <<
GetName() <<
") ERROR: ASCII writing of binned datasets is not supported" << std::endl ;
465 if (
RooDataSet* auxData = mod->finalizeRun()) {
474 _genParData->changeObservableName(arg->GetName(),(std::string(arg->GetName()) +
"_gen").c_str());
511 return run(
true,
true,nSamples,nEvtPerSample,keepGenData,asciiFilePat) ;
531 return run(
true,
false,nSamples,nEvtPerSample,keepGenData,asciiFilePat) ;
549 return run(
false,
true,nSamples,0,
false,asciiFilePat) ;
566 for(
auto * gset : static_range_cast<RooAbsData*>(dataSetList)) {
570 return run(
false,
true,nSamples,0,
true,
nullptr) ;
592 std::unique_ptr<RooDataHist> ownedDataHist;
597 ownedDataHist = std::make_unique<RooDataHist>(genSample->
GetName(),genSample->
GetTitle(),depList,*genSample) ;
598 data = ownedDataHist.get();
608 fitOptList.Add(&save) ;
610 fitOptList.Add(&condo) ;
612 fitOptList.Add(&plevel) ;
628 std::unique_ptr<RooFitResult> fr;
630 fr = std::unique_ptr<RooFitResult>{
doFit(genSample)};
656 std::unique_ptr<RooFitResult> fr;
658 fr = std::unique_ptr<RooFitResult>{
doFit(genSample)};
659 ok = (fr->status()==0) ;
666 _nllVar->setVal(fr->minNll()) ;
697 oocoutE(
_fitModel,InputArguments) <<
"RooMCStudy::addFitResult: ERROR cannot add fit results in current state" << std::endl ;
705 bool ok = (fr.
status()==0) ;
731 const auto par =
static_cast<RooRealVar*
>(*it);
732 _fitParData->addColumn(*std::unique_ptr<RooErrorVar>{par->errorVar()});
735 TString title(par->GetTitle());
736 name.Append(
"pull") ;
739 if (!par->hasError(
false)) {
740 coutW(Generation) <<
"Fit parameter '" << par->GetName() <<
"' does not have an error."
741 " A pull distribution cannot be generated. This might be caused by the parameter being constant or"
742 " because the fits were not run." << std::endl;
764 coutW(Generation) <<
"The fit parameter '" << par->GetName() <<
"' is not in the model that was used to generate toy data. "
765 "The parameter '" << genParOrig->GetName() <<
"'=" << genParOrig->getVal() <<
" was found at the same position in the generator model."
766 " It will be used to compute pulls."
767 "\nIf this is not desired, the parameters of the generator model need to be renamed or reordered." << std::endl;
772 std::unique_ptr<RooAbsReal> genPar(
static_cast<RooAbsReal*
>(genParOrig->Clone(
"truth")));
777 coutE(Generation) <<
"Cannot generate pull distribution for the fit parameter '" << par->GetName() <<
"'."
778 "\nNo similar parameter was found in the set of parameters that were used to generate toy data." << std::endl;
817 if (sampleNum<0 || sampleNum>=
_fitParData->numEntries()) {
818 oocoutE(
_fitModel,InputArguments) <<
"RooMCStudy::fitParams: ERROR, invalid sample number: " << sampleNum << std::endl ;
836 oocoutE(
_fitModel,InputArguments) <<
"RooMCStudy::fitResult: ERROR, invalid sample number: " << sampleNum << std::endl ;
845 oocoutE(
_fitModel,InputArguments) <<
"RooMCStudy::fitResult: ERROR, no fit result saved for sample "
846 << sampleNum <<
", did you use the 'r; fit option?" << std::endl ;
861 oocoutE(
_fitModel,InputArguments) <<
"RooMCStudy::genData() ERROR, generated data was not saved" << std::endl ;
867 oocoutE(
_fitModel,InputArguments) <<
"RooMCStudy::genData() ERROR, invalid sample number: " << sampleNum << std::endl ;
888 _fitParData->plotOn(frame,arg1,arg2,arg3,arg4,arg5,arg6,arg7,arg8) ;
914 oocoutE(
_fitModel,InputArguments) <<
"RooMCStudy::plotParam: ERROR: no parameter defined with name " << paramName << std::endl ;
919 return plotParam(*param,arg1,arg2,arg3,arg4,arg5,arg6,arg7,arg8) ;
997 std::unique_ptr<RooErrorVar> evar{param.
errorVar()};
1018 const std::string plotVarName = plotVar->
GetName();
1020 ws.
factory(
"Gaussian::pullGauss(" + plotVarName +
", pullMean[0.0, -10.0, 10.0], pullSigma[1.0, 0.1, 5.0])");
1027 pullGauss.
plotOn(&frame) ;
1033 const int sigDigits = 2;
1034 const char * options =
"ELU";
1035 std::stringstream ss;
1036 ss <<
"Fit parameters:\n"
1037 <<
"#mu: " << *std::unique_ptr<TString>{pullMean.
format(sigDigits, options)}
1038 <<
"\n#sigma: " << *std::unique_ptr<TString>{pullSigma.
format(sigDigits, options)};
1102 name.Append(
"pull") ; title.
Append(
" Pull") ;
1112 pc.
defineInt(
"fitGauss",
"FitGauss",0,0) ;
1115 bool fitGauss=pc.
getInt(
"fitGauss") ;
1119 const bool success =
_fitParData->plotOn(frame,cmdList) ;
1122 coutF(Plotting) <<
"No pull distribution for the parameter '" << param.
GetName() <<
"'. Check logs for errors." << std::endl;
1181 frameCmdList.
Add(&range) ;
1183 frameCmdList.
Add(&autoRange) ;
1185 frame = param.
frame(frameCmdList) ;
1221 std::unique_ptr<RooErrorVar> evar{param.
errorVar()};
1252 name.Append(
"pull") ; title.
Append(
" Pull") ;
1260 coutF(Plotting) <<
"No pull distribution for the parameter '" << param.
GetName() <<
"'. Check logs for errors." << std::endl;
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t index
char * Form(const char *fmt,...)
Formats a string in a circular formatting buffer.
Common abstract base class for objects that represent a value and a "shape" in RooFit.
RooFit::OwningPtr< RooArgSet > getParameters(const RooAbsData *data, bool stripDisconnected=true) const
Create a list of leaf nodes in the arg tree starting with ourself as top node that don't match any of...
RooFit::OwningPtr< RooArgSet > getObservables(const RooArgSet &set, bool valueOnly=true) const
Given a set of possible observables, return the observables that this PDF depends on.
virtual bool add(const RooAbsArg &var, bool silent=false)
Add the specified argument to list.
void setAttribAll(const Text_t *name, bool value=true)
Set given attribute in each element of the collection by calling each elements setAttribute() functio...
void assign(const RooAbsCollection &other) const
Sets the value, cache and constant attribute of any argument in our set that also appears in the othe...
Storage_t::size_type size() const
TIterator end() and range-based for loops.")
RooAbsArg * find(const char *name) const
Find object with given name in list.
Abstract base class for binned and unbinned datasets.
virtual double sumEntries() const =0
Return effective number of entries in dataset, i.e., sum all weights.
virtual const RooArgSet * get() const
virtual Int_t numEntries() const
Return number of entries in dataset, i.e., count unweighted entries.
Base class for add-on modules to RooMCStudy that can perform additional calculations on each generate...
bool doInitializeInstance(RooMCStudy &)
Initializer method called upon attachment to given RooMCStudy object.
Abstract interface for all probability density functions.
virtual double expectedEvents(const RooArgSet *nset) const
Return expected number of events to be used in calculation of extended likelihood.
Int_t * randomizeProtoOrder(Int_t nProto, Int_t nGen, bool resample=false) const
Return lookup table with randomized order for nProto prototype events.
RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}, const RooCmdArg &arg9={}, const RooCmdArg &arg10={}) const override
Helper calling plotOn(RooPlot*, RooLinkedList&) const.
virtual RooPlot * paramOn(RooPlot *frame, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
Add a box with parameter values (and errors) to the specified frame.
RooFit::OwningPtr< RooFitResult > fitTo(RooAbsData &data, CmdArgs_t const &... cmdArgs)
Fit PDF to given dataset.
RooArgSet * getAllConstraints(const RooArgSet &observables, RooArgSet &constrainedParams, bool stripDisconnected=true, bool removeConstraintsFromPdf=false) const
This helper function finds and collects all constraints terms of all component p.d....
virtual RooFit::OwningPtr< RooDataHist > generateBinned(const RooArgSet &whatVars, double nEvents, const RooCmdArg &arg1, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}) const
As RooAbsPdf::generateBinned(const RooArgSet&, const RooCmdArg&,const RooCmdArg&, const RooCmdArg&,...
virtual RooAbsGenContext * genContext(const RooArgSet &vars, const RooDataSet *prototype=nullptr, const RooArgSet *auxProto=nullptr, bool verbose=false) const
Interface function to create a generator context from a p.d.f.
void setConstant(bool value=true)
RooPlot * frame(const RooCmdArg &arg1, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}) const
Create a new RooPlot on the heap with a drawing frame initialized for this object,...
Abstract base class for objects that represent a real value and implements functionality common to al...
RooFit::OwningPtr< RooAbsArg > createFundamental(const char *newname=nullptr) const override
Create a RooRealVar fundamental object with our properties.
RooArgList is a container object that can hold multiple RooAbsArg objects.
RooArgSet is a container object that can hold multiple RooAbsArg objects.
RooArgSet * snapshot(bool deepCopy=true) const
Use RooAbsCollection::snapshot(), but return as RooArgSet.
Named container for two doubles, two integers two object points and three string pointers that can be...
RooLinkedList const & subArgs() const
Return list of sub-arguments in this RooCmdArg.
TObject * Clone(const char *newName=nullptr) const override
Make a clone of an object using the Streamer facility.
Configurable parser for RooCmdArg named arguments.
void defineMutex(const char *head, Args_t &&... tail)
Define arguments where any pair is mutually exclusive.
bool process(const RooCmdArg &arg)
Process given RooCmdArg.
bool hasProcessed(const char *cmdName) const
Return true if RooCmdArg with name 'cmdName' has been processed.
double getDouble(const char *name, double defaultValue=0.0) const
Return double property registered with name 'name'.
bool defineDouble(const char *name, const char *argName, int doubleNum, double defValue=0.0)
Define double property name 'name' mapped to double in slot 'doubleNum' in RooCmdArg with name argNam...
static void stripCmdList(RooLinkedList &cmdList, const char *cmdsToPurge)
Utility function that strips command names listed (comma separated) in cmdsToPurge from cmdList.
RooArgSet * getSet(const char *name, RooArgSet *set=nullptr) const
Return RooArgSet property registered with name 'name'.
bool defineSet(const char *name, const char *argName, int setNum, const RooArgSet *set=nullptr)
Define TObject property name 'name' mapped to object in slot 'setNum' in RooCmdArg with name argName ...
bool ok(bool verbose) const
Return true of parsing was successful.
bool defineObject(const char *name, const char *argName, int setNum, const TObject *obj=nullptr, bool isArray=false)
Define TObject property name 'name' mapped to object in slot 'setNum' in RooCmdArg with name argName ...
bool defineInt(const char *name, const char *argName, int intNum, int defValue=0)
Define integer property name 'name' mapped to integer in slot 'intNum' in RooCmdArg with name argName...
void allowUndefined(bool flag=true)
If flag is true the processing of unrecognized RooCmdArgs is not considered an error.
int getInt(const char *name, int defaultValue=0) const
Return integer property registered with name 'name'.
TObject * getObject(const char *name, TObject *obj=nullptr) const
Return TObject property registered with name 'name'.
Container class to hold unbinned data.
const RooArgSet * get(Int_t index) const override
Return RooArgSet with coordinates of event 'index'.
static RooDataSet * read(const char *filename, const RooArgList &variables, const char *opts="", const char *commonPath="", const char *indexCatName=nullptr)
Read data from a text file and create a dataset from it.
RooFitResult is a container class to hold the input and output of a PDF fit to a dataset.
const RooArgList & floatParsFinal() const
Return list of floating parameters after fit.
Int_t status() const
Return MINUIT status code.
double minNll() const
Return minimized -log(L) value.
Collection class for internal use, storing a collection of RooAbsArg pointers in a doubly linked list...
TObject * At(int index) const
Return object stored in sequential position given by index.
void RecursiveRemove(TObject *obj) override
If one of the TObject we have a referenced to is deleted, remove the reference.
void Delete(Option_t *o=nullptr) override
Remove all elements in collection and delete all elements NB: Collection does not own elements,...
virtual void Add(TObject *arg)
TObject * FindObject(const char *name) const override
Return pointer to object with given name.
Helper class to facilitate Monte Carlo studies such as 'goodness-of-fit' studies, that involve fittin...
bool addFitResult(const RooFitResult &fr)
Utility function to add fit result from external fit to this RooMCStudy and process its results throu...
RooAbsData * _genSample
Currently generated sample.
RooPlot * makeFrameAndPlotCmd(const RooRealVar ¶m, RooLinkedList &cmdList, bool symRange=false) const
Internal function.
RooArgSet _projDeps
List of projected dependents in fit.
RooArgSet _genParams
List of actual generator parameters.
const RooArgSet * fitParams(Int_t sampleNum) const
Return an argset with the fit parameters for the given sample number.
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={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
Plot the distribution of pull values for the specified parameter on a newly created frame.
RooArgSet _dependents
List of dependents.
bool _verboseGen
Verbose generation?
std::list< RooAbsMCStudyModule * > _modList
List of additional study modules ;.
std::unique_ptr< RooDataSet > _genParData
RooArgSet _genInitParams
List of original generator parameters.
bool fitSample(RooAbsData *genSample)
Internal method.
std::unique_ptr< RooDataSet > _fitParData
bool generate(Int_t nSamples, Int_t nEvtPerSample=0, bool keepGenData=false, const char *asciiFilePat=nullptr)
Generate 'nSamples' samples of 'nEvtPerSample' events.
RooPlot * plotParamOn(RooPlot *frame, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
Plot the distribution of fitted values of a parameter.
const RooDataSet * _genProtoData
Generator prototype data set.
bool _canAddFitResults
Allow adding of external fit results?
const RooFitResult * fitResult(Int_t sampleNum) const
Return the RooFitResult of the fit with the given run number.
RooFit::OwningPtr< RooFitResult > doFit(RooAbsData *genSample)
Internal function. Performs actual fit according to specifications.
std::unique_ptr< RooAbsGenContext > _constrGenContext
Generator context for constraints p.d.f.
bool _perExptGenParams
Do generation parameter change per event?
bool _silence
Silent running mode?
RooArgSet _fitParams
List of actual fit parameters.
std::unique_ptr< RooAbsGenContext > _genContext
Generator context.
RooPlot * plotNLL(const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
Plot the distribution of the -log(L) values on a newly created frame.
RooMCStudy(const RooAbsPdf &model, const RooArgSet &observables, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
Construct Monte Carlo Study Manager.
RooFit::OwningPtr< RooFitResult > refit(RooAbsData *genSample=nullptr)
Redo fit on 'current' toy sample, or if genSample is not nullptr do fit on given sample instead.
RooAbsData * genData(Int_t sampleNum) const
Return the given generated dataset.
void RecursiveRemove(TObject *obj) override
If one of the TObject we have a referenced to is deleted, remove the reference.
RooAbsPdf * _genModel
Generator model.
const RooDataSet & fitParDataSet()
Return a RooDataSet containing the post-fit parameters of each toy cycle.
std::unique_ptr< RooRealVar > _nllVar
RooLinkedList _fitOptList
std::unique_ptr< RooAbsPdf > _constrPdf
Constraints p.d.f.
RooArgSet _allDependents
List of generate + prototype dependents.
bool run(bool generate, bool fit, Int_t nSamples, Int_t nEvtPerSample, bool keepGenData, const char *asciiFilePat)
Run engine method.
void resetFitParams()
Reset all fit parameters to the initial model parameters at the time of the RooMCStudy constructor.
RooAbsPdf * _fitModel
Fit model.
bool fit(Int_t nSamples, const char *asciiFilePat)
Fit 'nSamples' datasets, which are read from ASCII files.
bool generateAndFit(Int_t nSamples, Int_t nEvtPerSample=0, bool keepGenData=false, const char *asciiFilePat=nullptr)
Generate and fit 'nSamples' samples of 'nEvtPerSample' events.
void addModule(RooAbsMCStudyModule &module)
Insert given RooMCStudy add-on module to the processing chain of this MCStudy object.
RooArgSet _fitInitParams
List of initial values of fit parameters.
RooPlot * plotParam(const RooRealVar ¶m, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
Plot the distribution of the fitted value of the given parameter on a newly created frame.
std::unique_ptr< RooRealVar > _ngenVar
RooPlot * plotError(const RooRealVar ¶m, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={})
Plot the distribution of the fit errors for the specified parameter on a newly created frame.
static RooMsgService & instance()
Return reference to singleton instance.
void setGlobalKillBelow(RooFit::MsgLevel level)
RooFit::MsgLevel globalKillBelow() const
Plot frame and a container for graphics objects within that frame.
static RooPlot * frame(const RooAbsRealLValue &var, double xmin, double xmax, Int_t nBins)
Create a new frame for a given variable in x.
RooAbsRealLValue * getPlotVar() const
void createInternalPlotVarClone()
Replaces the pointer to the plot variable with a pointer to a clone of the plot variable that is owne...
Represents the pull of a measurement w.r.t.
static TRandom * randomGenerator()
Return a pointer to a singleton random-number generator implementation.
Variable that can be changed from the outside.
RooErrorVar * errorVar() const
Return a RooAbsRealLValue representing the error associated with this variable.
TString * format(const RooCmdArg &formatArg) const
Format contents of RooRealVar for pretty printing on RooPlot parameter boxes.
void setBins(Int_t nBins, const char *name=nullptr)
Create a uniform binning under name 'name' for this variable.
Persistable container for RooFit projects.
RooAbsPdf * pdf(RooStringView name) const
Retrieve p.d.f (RooAbsPdf) with given name. A null pointer is returned if not found.
bool import(const RooAbsArg &arg, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}, const RooCmdArg &arg9={})
Import a RooAbsArg object, e.g.
RooFactoryWSTool & factory()
Return instance to factory tool.
RooRealVar * var(RooStringView name) const
Retrieve real-valued variable (RooRealVar) with given name. A null pointer is returned if not found.
virtual Int_t GetSize() const
Return the capacity of the collection, i.e.
void RecursiveRemove(TObject *obj) override
Remove object from this collection and recursively remove the object from all other objects (and coll...
void Add(TObject *obj) override
void Delete(Option_t *option="") override
Remove all objects from the list AND delete all heap based objects.
TObject * At(Int_t idx) const override
Returns the object at position idx. Returns 0 if idx is out of range.
The TNamed class is the base class for all named ROOT classes.
const char * GetName() const override
Returns name of object.
const char * GetTitle() const override
Returns title of object.
Mother of all ROOT objects.
virtual ULong64_t Poisson(Double_t mean)
Generates a random integer N according to a Poisson law.
TString & Append(const char *cs)
RooCmdArg AutoRange(const RooAbsData &data, double marginFactor=0.1)
RooCmdArg Label(const char *str)
RooCmdArg AutoSymRange(const RooAbsData &data, double marginFactor=0.1)
RooCmdArg Bins(Int_t nbin)
RooCmdArg Layout(double xmin, double xmax=0.99, double ymin=0.95)
RooCmdArg Constrain(const RooArgSet ¶ms)
RooCmdArg Save(bool flag=true)
RooCmdArg ExternalConstraints(const RooArgSet &constraintPdfs)
RooCmdArg Minos(bool flag=true)
RooCmdArg PrintLevel(Int_t code)
RooCmdArg ConditionalObservables(Args_t &&... argsOrArgSet)
Create a RooCmdArg to declare conditional observables.
RooCmdArg Range(const char *rangeName, bool adjustNorm=true)
MsgLevel
Verbosity level for RooMsgService::StreamConfig in RooMsgService.
OwningPtr< T > makeOwningPtr(std::unique_ptr< T > &&ptr)
Internal helper to turn a std::unique_ptr<T> into an OwningPtr.
T * OwningPtr
An alias for raw pointers for indicating that the return type of a RooFit function is an owning point...