void rf503_wspaceread()
{
model->Print("t");
RooPlot *xframe =
x->frame(
Title(
"Model and data read from workspace"));
model->plotOn(xframe);
new TCanvas(
"rf503_wspaceread",
"rf503_wspaceread", 600, 600);
gPad->SetLeftMargin(0.15);
}
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 w
Abstract base class for binned and unbinned datasets.
Abstract interface for all probability density functions.
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.
Persistable container for RooFit projects.
virtual void SetTitleOffset(Float_t offset=1)
Set distance between the axis and the axis title.
RooCmdArg Title(const char *name)
RooCmdArg PrintLevel(Int_t code)
RooCmdArg Components(Args_t &&... argsOrArgSet)
RooCmdArg LineStyle(Style_t style)
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
0x55dbafba21b0 RooAddPdf::model = 0.9/1 [Auto,Clean]
0x55dbafdb4fd0/V- RooChebychev::bkg = 0.8 [Auto,Dirty]
0x55dbaf8357b0/V- RooRealVar::x = 5
0x55dbaf79c270/V- RooRealVar::a0 = 0.5
0x55dbac808570/V- RooRealVar::a1 = 0.2
0x55dbac7f9df0/V- RooRealVar::bkgfrac = 0.5
0x55dbafe43e10/V- RooAddPdf::sig = 1/1 [Auto,Clean]
0x55dbafddad40/V- RooGaussian::sig1 = 1 [Auto,Dirty]
0x55dbaf8357b0/V- RooRealVar::x = 5
0x55dbaf7fb010/V- RooRealVar::mean = 5
0x55dbaf7c7a00/V- RooRealVar::sigma1 = 0.5
0x55dbaf7f8640/V- RooRealVar::sig1frac = 0.8
0x55dbafde94c0/V- RooGaussian::sig2 = 1 [Auto,Dirty]
0x55dbaf8357b0/V- RooRealVar::x = 5
0x55dbaf7fb010/V- RooRealVar::mean = 5
0x55dbaf802710/V- RooRealVar::sigma2 = 1
[#1] INFO:Fitting -- RooAbsPdf::fitTo(model) 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 22.6847 ms
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_modelData) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- [fitFCN] No discrete parameters, performing continuous minimization only
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (bkg)
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: ()
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) directly selected PDF components: (bkg,sig2)
[#1] INFO:Plotting -- RooAbsPdf::plotOn(model) indirectly selected PDF components: (sig)