/// \file /// \ingroup tutorial_fit /// \notebook /// Combined (simultaneous) fit of two histogram with separate functions /// and some common parameters /// /// See http://root.cern.ch/phpBB3//viewtopic.php?f=3&t=11740#p50908 /// for a modified version working with Fumili or GSLMultiFit /// /// N.B. this macro must be compiled with ACliC /// /// \macro_image /// \macro_output /// \macro_code /// /// \author Lorenzo Moneta #include "Fit/Fitter.h" #include "Fit/BinData.h" #include "Fit/Chi2FCN.h" #include "TH1.h" #include "TList.h" #include "Math/WrappedMultiTF1.h" #include "HFitInterface.h" #include "TCanvas.h" #include "TStyle.h" // definition of shared parameter // background function int iparB[2] = { 0, // exp amplitude in B histo 2 // exp common parameter }; // signal + background function int iparSB[5] = { 1, // exp amplitude in S+B histo 2, // exp common parameter 3, // gaussian amplitude 4, // gaussian mean 5 // gaussian sigma }; // Create the GlobalCHi2 structure struct GlobalChi2 { GlobalChi2( ROOT::Math::IMultiGenFunction & f1, ROOT::Math::IMultiGenFunction & f2) : fChi2_1(&f1), fChi2_2(&f2) {} // parameter vector is first background (in common 1 and 2) // and then is signal (only in 2) double operator() (const double *par) const { double p1[2]; for (int i = 0; i < 2; ++i) p1[i] = par[iparB[i] ]; double p2[5]; for (int i = 0; i < 5; ++i) p2[i] = par[iparSB[i] ]; return (*fChi2_1)(p1) + (*fChi2_2)(p2); } const ROOT::Math::IMultiGenFunction * fChi2_1; const ROOT::Math::IMultiGenFunction * fChi2_2; }; void combinedFit() { TH1D * hB = new TH1D("hB","histo B",100,0,100); TH1D * hSB = new TH1D("hSB","histo S+B",100, 0,100); TF1 * fB = new TF1("fB","expo",0,100); fB->SetParameters(1,-0.05); hB->FillRandom("fB"); TF1 * fS = new TF1("fS","gaus",0,100); fS->SetParameters(1,30,5); hSB->FillRandom("fB",2000); hSB->FillRandom("fS",1000); // perform now global fit TF1 * fSB = new TF1("fSB","expo + gaus(2)",0,100); ROOT::Math::WrappedMultiTF1 wfB(*fB,1); ROOT::Math::WrappedMultiTF1 wfSB(*fSB,1); ROOT::Fit::DataOptions opt; ROOT::Fit::DataRange rangeB; // set the data range rangeB.SetRange(10,90); ROOT::Fit::BinData dataB(opt,rangeB); ROOT::Fit::FillData(dataB, hB); ROOT::Fit::DataRange rangeSB; rangeSB.SetRange(10,50); ROOT::Fit::BinData dataSB(opt,rangeSB); ROOT::Fit::FillData(dataSB, hSB); ROOT::Fit::Chi2Function chi2_B(dataB, wfB); ROOT::Fit::Chi2Function chi2_SB(dataSB, wfSB); GlobalChi2 globalChi2(chi2_B, chi2_SB); ROOT::Fit::Fitter fitter; const int Npar = 6; double par0[Npar] = { 5,5,-0.1,100, 30,10}; // create before the parameter settings in order to fix or set range on them fitter.Config().SetParamsSettings(6,par0); // fix 5-th parameter fitter.Config().ParSettings(4).Fix(); // set limits on the third and 4-th parameter fitter.Config().ParSettings(2).SetLimits(-10,-1.E-4); fitter.Config().ParSettings(3).SetLimits(0,10000); fitter.Config().ParSettings(3).SetStepSize(5); fitter.Config().MinimizerOptions().SetPrintLevel(0); fitter.Config().SetMinimizer("Minuit2","Migrad"); // fit FCN function directly // (specify optionally data size and flag to indicate that is a chi2 fit) fitter.FitFCN(6,globalChi2,0,dataB.Size()+dataSB.Size(),true); ROOT::Fit::FitResult result = fitter.Result(); result.Print(std::cout); TCanvas * c1 = new TCanvas("Simfit","Simultaneous fit of two histograms", 10,10,700,700); c1->Divide(1,2); c1->cd(1); gStyle->SetOptFit(1111); fB->SetFitResult( result, iparB); fB->SetRange(rangeB().first, rangeB().second); fB->SetLineColor(kBlue); hB->GetListOfFunctions()->Add(fB); hB->Draw(); c1->cd(2); fSB->SetFitResult( result, iparSB); fSB->SetRange(rangeSB().first, rangeSB().second); fSB->SetLineColor(kRed); hSB->GetListOfFunctions()->Add(fSB); hSB->Draw(); }