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FitHistoInFile.C File Reference

Detailed Description

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Example for fitting a signal + background model to a histogram found in a file.

This example can be executed as: root > .x FitHistoInFile.C

/// Based on FittingDemo.C by Rene Brun
#include "TH1.h"
#include "TMath.h"
#include "TF1.h"
#include "TLegend.h"
#include "TCanvas.h"
#include "TFile.h"
#include "TStyle.h"
// Function parameters are passed as an array to TF1. Here, we
// define the position of each parameter in this array.
// Note: N_PAR will give us the total number of parameters. Make
// sure it is always the last entry!
enum ParIndex_t {
Bkg0=0, Bkg1=1, Bkg2,
SigScale, SigSigma, SigMean,
N_PAR};
// Use this map to (re-)name parameters for the plot
const std::map<ParIndex_t,std::string> parNames{
{Bkg0, "Bkg0"}, {Bkg1, "Bkg1"}, {Bkg2, "Bkg2"},
{SigScale, "Gauss scale"}, {SigSigma, "Gauss #sigma"}, {SigMean, "Gauss #mu"}
};
// Quadratic background function
double background(double *x, double *par) {
return par[Bkg0] + par[Bkg1]*x[0] + par[Bkg2]*x[0]*x[0];
}
// Gauss Peak function
double signal(double *x, double *par) {
return par[SigScale]*TMath::Gaus(x[0], par[SigMean], par[SigSigma], true);
}
// Sum of background and peak function. We pass x and the fit parameters
// down to the signal and background functions.
double fitFunction(double *x, double *par) {
return background(x, par) + signal(x, par);
}
// Fit "fitFunction" to the histogram, and draw results on the canvas `c1`.
void FitRoutine(TCanvas* c1, TH1* histo, float fitxmin, float fitxmax, TString filename){
c1->cd();
// create a TF1 with the range from 0 to 3 and N_PAR parameters (six by default)
TF1 fitFcn("fitFcn",fitFunction,fitxmin,fitxmax,N_PAR);
fitFcn.SetNpx(500);
fitFcn.SetLineWidth(2);
fitFcn.SetLineColor(kBlue);
// Assign the names from the map "parNames". Optional, but makes a nicer plot.
for (auto& idx_name : parNames) {
fitFcn.SetParName(idx_name.first, idx_name.second.c_str());
}
// Fit. First set ok-ish starting values for the parameters
fitFcn.SetParameters(30,0,0,50.,0.1,1.);
histo->GetXaxis()->SetRange(2,40);
histo->Fit("fitFcn","VR+","ep");
// improve the picture:
// Draw signal and background functions separately
TF1 backFcn("backFcn",background,fitxmin,fitxmax,N_PAR);
backFcn.SetLineColor(kRed);
TF1 signalFcn("signalFcn",signal,fitxmin,fitxmax,N_PAR);
signalFcn.SetLineColor(kBlue);
signalFcn.SetNpx(500);
// Retrieve fit parameters, and copy them to the signal and background functions
double par[N_PAR];
fitFcn.GetParameters(par);
backFcn.SetParameters(par);
backFcn.DrawCopy("same");
signalFcn.SetParameters(par);
signalFcn.SetLineColor(kGreen);
signalFcn.DrawCopy("same");
const double binwidth = histo->GetXaxis()->GetBinWidth(1);
const double integral = signalFcn.Integral(0.,3.);
std::cout << "number of signal events = " << integral/binwidth << " " << binwidth<< std::endl;
// draw the legend
TLegend legend(0.15,0.7,0.28,0.85);
legend.SetTextFont(72);
legend.SetTextSize(0.03);
legend.AddEntry(histo,"Data","lpe");
legend.AddEntry(&backFcn,"Bgd","l");
legend.AddEntry(&signalFcn,"Sig","l");
legend.AddEntry(&fitFcn,"Sig+Bgd","l");
legend.DrawClone();
histo->Draw("esame");
c1->SaveAs(filename);
}
// Create a file with example data
void CreateRootFile(){
// The data in array form
const int nBins = 60;
double data[nBins] = { 6, 1,10,12, 6,13,23,22,15,21,
23,26,36,25,27,35,40,44,66,81,
75,57,43,37,36,31,35,36,43,32,
40,37,38,33,36,44,42,37,32,32,
43,44,35,33,33,39,29,41,32,44,
26,39,29,35,32,21,21,15,25,15};
TFile* f = new TFile("exampleRootFile.root","RECREATE");
TH1D *histo = new TH1D("histo", "Gauss Peak on Quadratic Background;x;Events/0.05",60,0,3);
for(int i=0; i < nBins; i++) histo->SetBinContent(i+1,data[i]);
f->Write();
f->Close();
}
// Show how to fit a histogram that's in a file.
void FitHistoInFile() {
gStyle->SetOptFit(1111);
gStyle->SetOptStat(0);
// fit range from fitxmin to fitxmax
float fitxmin=0.2;
float fitxmax=2.7;
TCanvas *c1 = new TCanvas("c1","Fitting Demo of Histogram in File",10,10,700,500);
CreateRootFile();
TFile* f = new TFile("exampleRootFile.root");
TH1D* histo= nullptr;
f->GetObject("histo",histo);
if (!histo){
std::cout << "histo not found" << std::endl;
return;
}
histo->SetMarkerStyle(21);
histo->SetMarkerSize(0.8);
// now call the fit routine
FitRoutine(c1,histo, fitxmin, fitxmax,"FitHistoInFile.pdf");
}
#define f(i)
Definition RSha256.hxx:104
@ kRed
Definition Rtypes.h:67
@ kGreen
Definition Rtypes.h:67
@ kBlue
Definition Rtypes.h:67
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t Float_t Float_t Float_t Int_t Int_t UInt_t UInt_t Rectangle_t Int_t Int_t Window_t TString Int_t GCValues_t GetPrimarySelectionOwner GetDisplay GetScreen GetColormap GetNativeEvent const char const char dpyName wid window const char font_name cursor keysym reg const char only_if_exist regb h Point_t winding char text const char depth char const char Int_t count const char ColorStruct_t color const char filename
externTStyle * gStyle
Definition TStyle.h:442
virtual void SetMarkerStyle(Style_t mstyle=1)
Set the marker style.
Definition TAttMarker.h:43
virtual void SetMarkerSize(Size_t msize=1)
Set the marker size.
Definition TAttMarker.h:48
virtual void SetRange(Int_t first=0, Int_t last=0)
Set the viewing range for the axis using bin numbers.
Definition TAxis.cxx:1061
virtual Double_t GetBinWidth(Int_t bin) const
Return bin width.
Definition TAxis.cxx:546
The Canvas class.
Definition TCanvas.h:23
Definition TF1.h:182
Definition TFile.h:130
1-D histogram with a double per channel (see TH1 documentation)
Definition TH1.h:926
TH1 is the base class of all histogram classes in ROOT.
Definition TH1.h:109
TAxis * GetXaxis()
Definition TH1.h:571
virtual TFitResultPtr Fit(const char *formula, Option_t *option="", Option_t *goption="", Double_t xmin=0, Double_t xmax=0)
void Draw(Option_t *option="") override
Default Draw method for all objects.
virtual void SetBinContent(Int_t bin, Double_t content)
Basic string class.
Definition TString.h:138
return c1
Definition legend1.C:41
Double_t x[n]
Definition legend1.C:17
Double_t Gaus(Double_t x, Double_t mean=0, Double_t sigma=1, Bool_t norm=kFALSE)
Calculates a gaussian function with mean and sigma.
Definition TMath.cxx:471
histo not found
Author
Author E. von Toerne

Definition in file FitHistoInFile.C.