31 RooRealVar mean(
"mean",
"mean of gaussians", 5);
32 RooRealVar sigma1(
"sigma1",
"width of gaussians", 0.5);
33 RooRealVar sigma2(
"sigma2",
"width of gaussians", 1);
34 RooGaussian sig1(
"sig1",
"Signal component 1",
x, mean, sigma1);
35 RooGaussian sig2(
"sig2",
"Signal component 2",
x, mean, sigma2);
38 RooRealVar sig1frac(
"sig1frac",
"fraction of component 1 in signal", 0.8, 0., 1.);
51 RooRealVar bkg1frac(
"sig1frac",
"fraction of component 1 in background", 0.2, 0., 1.);
55 RooRealVar bkgfrac(
"bkgfrac",
"fraction of background", 0.5, 0., 1.);
void printLatex(const RooCmdArg &arg1=RooCmdArg(), const RooCmdArg &arg2=RooCmdArg(), const RooCmdArg &arg3=RooCmdArg(), const RooCmdArg &arg4=RooCmdArg(), const RooCmdArg &arg5=RooCmdArg(), const RooCmdArg &arg6=RooCmdArg(), const RooCmdArg &arg7=RooCmdArg(), const RooCmdArg &arg8=RooCmdArg()) const
Output content of collection as LaTex table.
RooAddPdf is an efficient implementation of a sum of PDFs of the form.
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.
Chebychev polynomial p.d.f.
RooDataSet is a container class to hold unbinned data.
RooRealVar represents a fundamental (non-derived) real valued object.
Template specialisation used in RooAbsArg:
RooCmdArg Columns(Int_t ncol)
RooCmdArg Sibling(const RooAbsCollection &sibling)
RooCmdArg OutputFile(const char *fileName)