/// \file /// \ingroup tutorial_fit /// \notebook /// Fitting a 2-D histogram (a variant) /// This tutorial illustrates : /// - how to create a 2-d function /// - fill a 2-d histogram randomly from this function /// - fit the histogram /// - display the fitted function on top of the histogram (lego-plot) /// using a surface plot in a sub-range of the histogram. /// /// This example can be executed via the interpreter or/and the compiler /// /// ~~~{.cpp} /// root > .x fit2a.C /// root > .x fit2a.C++ /// ~~~ /// /// \macro_image /// \macro_output /// \macro_code /// /// \author Rene Brun #include "TF2.h" #include "TH2.h" #include "TCutG.h" #include "TMath.h" #include "TCanvas.h" #include "TStyle.h" Double_t g2(Double_t *x, Double_t *par) { Double_t r1 = Double_t((x[0]-par[1])/par[2]); Double_t r2 = Double_t((x[1]-par[3])/par[4]); return par[0]*TMath::Exp(-0.5*(r1*r1+r2*r2)); } Double_t fun2(Double_t *x, Double_t *par) { Double_t *p1 = &par[0]; Double_t *p2 = &par[5]; Double_t *p3 = &par[10]; Double_t result = g2(x,p1) + g2(x,p2) + g2(x,p3); return result; } TCanvas *fit2a() { TCanvas *c = new TCanvas(); gStyle->SetOptStat(kTRUE); gStyle->SetPalette(57); const Int_t npar = 15; Double_t f2params[npar] = {100,-3,3,-3,3,160,0,0.8,0,0.9,40,4,0.7,4,0.7}; auto f2 = new TF2("f2",fun2,-10,10,-10,10, npar); f2->SetParameters(f2params); //Create an histogram and fill it randomly with f2 auto h2 = new TH2F("h2","From f2",40,-10,10,40,-10,10); Int_t nentries = 100000; h2->FillRandom("f2",nentries); //Fit h2 with original function f2 Float_t ratio = 4*nentries/100000; f2params[ 0] *= ratio; f2params[ 5] *= ratio; f2params[10] *= ratio; f2->SetParameters(f2params); h2->Fit("f2","N"); auto cutg = new TCutG("cutg",5); cutg->SetPoint(0,-7,-7); cutg->SetPoint(1, 2,-7); cutg->SetPoint(2, 2, 2); cutg->SetPoint(3,-7, 2); cutg->SetPoint(4,-7,-7); h2->Draw("lego2 0"); h2->SetFillColor(38); f2->SetNpx(80); f2->SetNpy(80); f2->Draw("surf1 same bb [cutg]"); return c; }