Data and categories: latex printing of lists and sets of RooArgSets
Author: Wouter Verkerke
This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Friday, May 13, 2022 at 09:32 AM.
%%cpp -d
#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "RooChebychev.h"
#include "RooAddPdf.h"
#include "RooExponential.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
%%cpp -d
// This is a workaround to make sure the namespace is used inside functions
using namespace RooFit;
Declare observable x
RooRealVar x("x", "x", 0, 10);
Create two gaussian pdfs g1(x,mean1,sigma) anf g2(x,mean2,sigma) and their parameters
RooRealVar mean("mean", "mean of gaussians", 5);
RooRealVar sigma1("sigma1", "width of gaussians", 0.5);
RooRealVar sigma2("sigma2", "width of gaussians", 1);
RooGaussian sig1("sig1", "Signal component 1", x, mean, sigma1);
RooGaussian sig2("sig2", "Signal component 2", x, mean, sigma2);
Sum the signal components into a composite signal pdf
RooRealVar sig1frac("sig1frac", "fraction of component 1 in signal", 0.8, 0., 1.);
RooAddPdf sig("sig", "Signal", RooArgList(sig1, sig2), sig1frac);
Build chebychev polynomial pdf
RooRealVar a0("a0", "a0", 0.5, 0., 1.);
RooRealVar a1("a1", "a1", 0.2, 0., 1.);
RooChebychev bkg1("bkg1", "Background 1", x, RooArgSet(a0, a1));
Build expontential pdf
RooRealVar alpha("alpha", "alpha", -1);
RooExponential bkg2("bkg2", "Background 2", x, alpha);
Sum the background components into a composite background pdf
RooRealVar bkg1frac("sig1frac", "fraction of component 1 in background", 0.2, 0., 1.);
RooAddPdf bkg("bkg", "Signal", RooArgList(bkg1, bkg2), sig1frac);
Sum the composite signal and background
RooRealVar bkgfrac("bkgfrac", "fraction of background", 0.5, 0., 1.);
RooAddPdf model("model", "g1+g2+a", RooArgList(bkg, sig), bkgfrac);
Make list of model parameters
RooArgSet *params = model.getParameters(x);
Save snapshot of prefit parameters
RooArgSet *initParams = (RooArgSet *)params->snapshot();
Do fit to data, to obtain error estimates on parameters
RooDataSet *data = model.generate(x, 1000);
model.fitTo(*data);
Print parameter list in latex for (one column with names, one column with values)
params->printLatex();
Print parameter list in latex for (names values|names values)
params->printLatex(Columns(2));
Print two parameter lists side by side (name values initvalues)
params->printLatex(Sibling(*initParams));
Print two parameter lists side by side (name values initvalues|name values initvalues)
params->printLatex(Sibling(*initParams), Columns(2));
Write latex table to file
params->printLatex(Sibling(*initParams), OutputFile("rf407_latextables.tex"));