void rf503_wspaceread()
{
RooPlot *
xframe =
x->frame(Title(
"Model and data read from workspace"));
new TCanvas(
"rf503_wspaceread",
"rf503_wspaceread", 600, 600);
gPad->SetLeftMargin(0.15);
xframe->GetYaxis()->SetTitleOffset(1.4);
}
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
void Print(Option_t *options=nullptr) const override
Print the object to the defaultPrintStream().
Abstract base class for binned and unbinned datasets.
Abstract interface for all probability density functions.
RooPlot * plotOn(RooPlot *frame, const RooCmdArg &arg1={}, const RooCmdArg &arg2={}, const RooCmdArg &arg3={}, const RooCmdArg &arg4={}, const RooCmdArg &arg5={}, const RooCmdArg &arg6={}, const RooCmdArg &arg7={}, const RooCmdArg &arg8={}, const RooCmdArg &arg9={}, const RooCmdArg &arg10={}) const override
Helper calling plotOn(RooPlot*, RooLinkedList&) const.
RooFit::OwningPtr< RooFitResult > fitTo(RooAbsData &data, CmdArgs_t const &... cmdArgs)
Fit PDF to given dataset.
Plot frame and a container for graphics objects within that frame.
Variable that can be changed from the outside.
Persistable container for RooFit projects.
A file, usually with extension .root, that stores data and code in the form of serialized objects in ...
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
0x221b7d50 RooAddPdf::model = 0.9/1 [Auto,Clean]
0x223f4ed0/V- RooChebychev::bkg = 0.8 [Auto,Dirty]
0x2054efd0/V- RooRealVar::x = 5
0x21927830/V- RooRealVar::a0 = 0.5
0x206b1190/V- RooRealVar::a1 = 0.2
0x22491080/V- RooRealVar::bkgfrac = 0.5
0x22484070/V- RooAddPdf::sig = 1/1 [Auto,Clean]
0x2241abc0/V- RooGaussian::sig1 = 1 [Auto,Dirty]
0x2054efd0/V- RooRealVar::x = 5
0x20142180/V- RooRealVar::mean = 5
0x20059160/V- RooRealVar::sigma1 = 0.5
0x21a18b10/V- RooRealVar::sig1frac = 0.8
0x22428550/V- RooGaussian::sig2 = 1 [Auto,Dirty]
0x2054efd0/V- RooRealVar::x = 5
0x20142180/V- RooRealVar::mean = 5
0x21a84770/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 8.13 ms
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_model_modelData) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: deactivating const optimization
[#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)