void rf107_plotstyles()
{
std::unique_ptr<RooDataSet> data{gauss.generate(
x, 100)};
TCanvas *
c =
new TCanvas(
"rf107_plotstyles",
"rf107_plotstyles", 800, 800);
gPad->SetLeftMargin(0.15);
gPad->SetLeftMargin(0.15);
gPad->SetLeftMargin(0.15);
gPad->SetLeftMargin(0.15);
}
Plot frame and a container for graphics objects within that frame.
void Draw(Option_t *options=nullptr) override
Draw this plot and all of the elements it contains.
Variable that can be changed from the outside.
virtual void SetTitleOffset(Float_t offset=1)
Set distance between the axis and the axis title.
RooCmdArg Title(const char *name)
RooCmdArg Bins(Int_t nbin)
RooCmdArg PrintLevel(Int_t code)
RooCmdArg DataError(Int_t)
RooCmdArg FillColor(TColorNumber color)
RooCmdArg DrawOption(const char *opt)
RooCmdArg LineColor(TColorNumber color)
RooCmdArg XErrorSize(double width)
RooCmdArg MarkerColor(TColorNumber color)
RooCmdArg Name(const char *name)
RooCmdArg LineStyle(Style_t style)
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
[#1] INFO:Fitting -- RooAbsPdf::fitTo(gauss_over_gauss_Int[x]) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using generic CPU library compiled with no vectorizations
[#1] INFO:Fitting -- Creation of NLL object took 23.7982 ms
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_gauss_over_gauss_Int[x]_gaussData) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: deactivating const optimization
[#1] INFO:Plotting -- RooAbsPdf::plotOn(gauss) only plotting range [-8,3], curve is normalized to data in given range
[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'plotRange' created with bounds [-8,3]