65  RooRealVar nSample(
"nSample",
"Number of samples per cell",200,0,1e6) ;
 
   66  RooRealVar nCell1D(
"nCell1D",
"Number of cells for 1-dim generation",30,0,1e6) ;
 
   67  RooRealVar nCell2D(
"nCell2D",
"Number of cells for 2-dim generation",500,0,1e6) ;
 
   68  RooRealVar nCell3D(
"nCell3D",
"Number of cells for 3-dim generation",5000,0,1e6) ;
 
   69  RooRealVar nCellND(
"nCellND",
"Number of cells for N-dim generation",10000,0,1e6) ;
 
   70  RooRealVar chatLevel(
"chatLevel",
"TFOAM 'chat level' (verbosity)",0,0,2) ;
 
  107    auto var = 
static_cast<const RooRealVar*
>(arg);
 
  108    _xmin[i] = var->getMin() ;
 
  109    _range[i] = var->getMax() - var->getMin() ;
 
  151   static const std::string 
name = 
"RooFoamGenerator";
 
double getRealValue(const char *name, double defVal=0.0, bool verbose=false) const
Get value of a RooAbsReal stored in set with given name.
 
Int_t getSize() const
Return the number of elements in the collection.
 
Class RooAbsNumGenerator is the abstract base class for MC event generator implementations like RooAc...
 
RooArgSet _realVars
Sets of discrete and real valued observabeles.
 
RooDataSet * _cache
Dataset holding generared values of observables.
 
RooAbsReal * _funcClone
Pointer to top level node of cloned function.
 
RooAbsReal is the common abstract base class for objects that represent a real value and implements f...
 
RooArgSet is a container object that can hold multiple RooAbsArg objects.
 
const RooArgSet * get(Int_t index) const override
Return RooArgSet with coordinates of event 'index'.
 
Class RooFoamGenerator is a generic toy monte carlo generator that implement the TFOAM sampling techn...
 
const RooArgSet * generateEvent(UInt_t remaining, double &resampleRatio) override
are we actually generating anything? (the cache always contains at least our function value)
 
double * _range
Range of observables to be generated ;.
 
~RooFoamGenerator() override
Destructor.
 
RooTFoamBinding * _binding
Binding of RooAbsReal to TFoam function interface.
 
double * _xmin
Lower bound of observables to be generated ;.
 
std::string const & generatorName() const override
Return unique name of generator implementation.
 
TFoam * _tfoam
Instance of TFOAM generator.
 
static void registerSampler(RooNumGenFactory &fact)
Register RooIntegrator1D, is parameters and capabilities with RooNumIntFactory.
 
double * _vec
Transfer array for FOAM output.
 
RooNumGenConfig holds the configuration parameters of the various numeric integrators used by RooReal...
 
const RooArgSet & getConfigSection(const char *name) const
Retrieve configuration information specific to integrator with given name.
 
RooNumGenFactory is a factory to instantiate numeric integrators from a given function binding and a ...
 
bool storeProtoSampler(RooAbsNumGenerator *proto, const RooArgSet &defConfig)
Method accepting registration of a prototype numeric integrator along with a RooArgSet of its default...
 
static TRandom * randomGenerator()
Return a pointer to a singleton random-number generator implementation.
 
RooRealVar represents a variable that can be changed from the outside.
 
void setVal(double value) override
Set value of variable to 'value'.
 
Lightweight interface adaptor that binds a RooAbsPdf to TFOAM.
 
TFoam is the main class of the multi-dimensional general purpose Monte Carlo event generator (integra...
 
virtual void GetMCvect(Double_t *)
User may get generated MC point/vector with help of this method.
 
virtual void MakeEvent()
User method.
 
virtual void Initialize()
Basic initialization of FOAM invoked by the user.
 
virtual void SetnSampl(Long_t nSampl)
 
virtual void SetChat(Int_t Chat)
 
virtual void SetnCells(Long_t nCells)
 
virtual void SetRho(TFoamIntegrand *Rho)
User may use this method to set the distribution object.
 
virtual void SetPseRan(TRandom *PseRan)
 
virtual void SetkDim(Int_t kDim)