65 x(
"x",
"Observable",
this,_x),
66 gamma(
"gamma",
"Mean",
this,_gamma),
67 beta(
"beta",
"Width",
this,_beta),
68 mu(
"mu",
"Para",
this,_mu)
93 {ctx.at(x), ctx.at(gamma), ctx.at(beta), ctx.at(mu)});
119 double d = gamma - 1. / 3.;
120 double c = 1. / std::sqrt(9. *
d);
131 double x = ((
d *
v) * beta + mu);
137 double x = ((
d *
v) * beta + mu);
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
Abstract interface for all probability density functions.
Abstract base class for objects that represent a real value and implements functionality common to al...
bool matchArgs(const RooArgSet &allDeps, RooArgSet &numDeps, const RooArgProxy &a) const
Utility function for use in getAnalyticalIntegral().
RooArgSet is a container object that can hold multiple RooAbsArg objects.
std::span< double > output()
RooBatchCompute::Config config(RooAbsArg const *arg) const
Implementation of the Gamma PDF for RooFit/RooStats.
Int_t getGenerator(const RooArgSet &directVars, RooArgSet &generateVars, bool staticInitOK=true) const override
void doEval(RooFit::EvalContext &) const override
Compute multiple values of Gamma PDF.
double analyticalIntegral(Int_t code, const char *rangeName=nullptr) const override
Implements the actual analytical integral(s) advertised by getAnalyticalIntegral.
double evaluate() const override
Evaluate this PDF / function / constant. Needs to be overridden by all derived classes.
void generateEvent(Int_t code) override
algorithm adapted from code example in: Marsaglia, G.
Int_t getAnalyticalIntegral(RooArgSet &allVars, RooArgSet &analVars, const char *rangeName=nullptr) const override
Interface function getAnalyticalIntergral advertises the analytical integrals that are supported.
static TRandom * randomGenerator()
Return a pointer to a singleton random-number generator implementation.
double max(const char *rname=nullptr) const
Query upper limit of range. This requires the payload to be RooAbsRealLValue or derived.
double min(const char *rname=nullptr) const
Query lower limit of range. This requires the payload to be RooAbsRealLValue or derived.
double gamma_cdf(double x, double alpha, double theta, double x0=0)
Cumulative distribution function of the gamma distribution (lower tail).
void compute(Config cfg, Computer comp, std::span< double > output, VarSpan vars, ArgSpan extraArgs={})
void checkRangeOfParameters(const RooAbsReal *callingClass, std::initializer_list< const RooAbsReal * > pars, double min=-std::numeric_limits< double >::max(), double max=std::numeric_limits< double >::max(), bool limitsInAllowedRange=false, std::string const &extraMessage="")
Check if the parameters have a range, and warn if the range extends below / above the set limits.
Double_t Log(Double_t x)
Returns the natural logarithm of x.
Double_t GammaDist(Double_t x, Double_t gamma, Double_t mu=0, Double_t beta=1)
Computes the density function of Gamma distribution at point x.