High Level Factory: creation of a combined model
Author: Danilo Piparo
This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Monday, January 18, 2021 at 11:06 AM.
%%cpp -d
#include <fstream>
#include "TString.h"
#include "TROOT.h"
#include "RooGlobalFunc.h"
#include "RooWorkspace.h"
#include "RooRealVar.h"
#include "RooAbsPdf.h"
#include "RooDataSet.h"
#include "RooPlot.h"
#include "RooStats/HLFactory.h"
Use this order for safety on library loading
%%cpp -d
// This is a workaround to make sure the namespace is used inside functions
using namespace RooFit;
using namespace RooStats;
using namespace std;
using namespace RooStats;
using namespace RooFit;
Create a card
TString card_name("HLFavtoryCombinationexample.rs");
ofstream ofile(card_name);
ofile << "// The simplest card for combination\n\n"
<< "gauss1 = Gaussian(x[0,100],mean1[50,0,100],4);\n"
<< "flat1 = Polynomial(x,0);\n"
<< "sb_model1 = SUM(nsig1[120,0,300]*gauss1 , nbkg1[100,0,1000]*flat1);\n"
<< "gauss2 = Gaussian(x,mean2[80,0,100],5);\n"
<< "flat2 = Polynomial(x,0);\n"
<< "sb_model2 = SUM(nsig2[90,0,400]*gauss2 , nbkg2[80,0,1000]*flat2);\n";
ofile.close();
HLFactory hlf("HLFavtoryCombinationexample", card_name, false);
hlf.AddChannel("model1", "sb_model1", "flat1");
hlf.AddChannel("model2", "sb_model2", "flat2");
auto pdf = hlf.GetTotSigBkgPdf();
auto thecat = hlf.GetTotCategory();
auto x = static_cast<RooRealVar *>(hlf.GetWs()->arg("x"));
auto data = pdf->generate(RooArgSet(*x, *thecat), Extended());
--- perform extended ml fit of composite pdf to toy data ---
pdf->fitTo(*data);
--- plot toy data and composite pdf overlaid ---
auto xframe = x->frame();
data->plotOn(xframe);
thecat->setIndex(0);
pdf->plotOn(xframe, Slice(*thecat), ProjWData(*thecat, *data));
thecat->setIndex(1);
pdf->plotOn(xframe, Slice(*thecat), ProjWData(*thecat, *data));
gROOT->SetStyle("Plain");
xframe->Draw();
Draw all canvases
gROOT->GetListOfCanvases()->Draw()