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 ROOT file is an on-disk file, usually with extension .root, that stores objects in a file-system-li...
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
0x4855590 RooAddPdf::model = 0.9/1 [Auto,Clean]
0x4a830e0/V- RooChebychev::bkg = 0.8 [Auto,Dirty]
0x42f4e90/V- RooRealVar::x = 5
0x30af980/V- RooRealVar::a0 = 0.5
0x31917c0/V- RooRealVar::a1 = 0.2
0x4b34340/V- RooRealVar::bkgfrac = 0.5
0x4b271e0/V- RooAddPdf::sig = 1/1 [Auto,Clean]
0x4ab8070/V- RooGaussian::sig1 = 1 [Auto,Dirty]
0x42f4e90/V- RooRealVar::x = 5
0x4286a20/V- RooRealVar::mean = 5
0x419ce70/V- RooRealVar::sigma1 = 0.5
0x41cd3a0/V- RooRealVar::sig1frac = 0.8
0x4ad6ce0/V- RooGaussian::sig2 = 1 [Auto,Dirty]
0x42f4e90/V- RooRealVar::x = 5
0x4286a20/V- RooRealVar::mean = 5
0x2c3fe60/V- RooRealVar::sigma2 = 1
[#1] INFO:Fitting -- RooAbsPdf::fitTo(model) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using CPU computation library compiled with -mavx512
[#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)