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Reference Guide
multifit.C
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1 /// \file
2 /// \ingroup tutorial_fit
3 /// \notebook -js
4 /// Fitting multiple functions to different ranges of a 1-D histogram
5 /// Example showing how to fit in a sub-range of an histogram
6 /// An histogram is created and filled with the bin contents and errors
7 /// defined in the table below.
8 /// 3 gaussians are fitted in sub-ranges of this histogram.
9 /// A new function (a sum of 3 gaussians) is fitted on another subrange
10 /// Note that when fitting simple functions, such as gaussians, the initial
11 /// values of parameters are automatically computed by ROOT.
12 /// In the more complicated case of the sum of 3 gaussians, the initial values
13 /// of parameters must be given. In this particular case, the initial values
14 /// are taken from the result of the individual fits.
15 ///
16 /// \macro_image
17 /// \macro_output
18 /// \macro_code
19 ///
20 /// \author Rene Brun
21 
22 #include "TH1.h"
23 #include "TF1.h"
24 
25 void multifit() {
26  const Int_t np = 49;
27  Float_t x[np] = {1.913521, 1.953769, 2.347435, 2.883654, 3.493567,
28  4.047560, 4.337210, 4.364347, 4.563004, 5.054247,
29  5.194183, 5.380521, 5.303213, 5.384578, 5.563983,
30  5.728500, 5.685752, 5.080029, 4.251809, 3.372246,
31  2.207432, 1.227541, 0.8597788,0.8220503,0.8046592,
32  0.7684097,0.7469761,0.8019787,0.8362375,0.8744895,
33  0.9143721,0.9462768,0.9285364,0.8954604,0.8410891,
34  0.7853871,0.7100883,0.6938808,0.7363682,0.7032954,
35  0.6029015,0.5600163,0.7477068,1.188785, 1.938228,
36  2.602717, 3.472962, 4.465014, 5.177035};
37 
38  TH1F *h = new TH1F("h","Example of several fits in subranges",np,85,134);
39  h->SetMaximum(7);
40 
41  for (int i=0;i<np;i++) {
42  h->SetBinContent(i+1,x[i]);
43  }
44 
45  Double_t par[9];
46  TF1 *g1 = new TF1("g1","gaus",85,95);
47  TF1 *g2 = new TF1("g2","gaus",98,108);
48  TF1 *g3 = new TF1("g3","gaus",110,121);
49  TF1 *total = new TF1("total","gaus(0)+gaus(3)+gaus(6)",85,125);
50  total->SetLineColor(2);
51  h->Fit(g1,"R");
52  h->Fit(g2,"R+");
53  h->Fit(g3,"R+");
54  g1->GetParameters(&par[0]);
55  g2->GetParameters(&par[3]);
56  g3->GetParameters(&par[6]);
57  total->SetParameters(par);
58  h->Fit(total,"R+");
59 }
60 
double par[1]
Definition: unuranDistr.cxx:38
virtual void SetParameters(const Double_t *params)
Definition: TF1.h:439
virtual void SetMaximum(Double_t maximum=-1111)
Definition: TH1.h:399
float Float_t
Definition: RtypesCore.h:53
THist< 1, float, THistStatContent, THistStatUncertainty > TH1F
Definition: THist.hxx:302
TH1 * h
Definition: legend2.C:5
tomato 1-D histogram with a float per channel (see TH1 documentation)}
Definition: TH1.h:575
int Int_t
Definition: RtypesCore.h:41
Double_t x[n]
Definition: legend1.C:17
virtual void SetLineColor(Color_t lcolor)
Set the line color.
Definition: TAttLine.h:46
virtual void SetBinContent(Int_t bin, Double_t content)
Set bin content see convention for numbering bins in TH1::GetBin In case the bin number is greater th...
Definition: TH1.cxx:8280
static unsigned int total
double Double_t
Definition: RtypesCore.h:55
virtual Double_t * GetParameters() const
Definition: TF1.h:365
1-Dim function class
Definition: TF1.h:149
virtual TFitResultPtr Fit(const char *formula, Option_t *option="", Option_t *goption="", Double_t xmin=0, Double_t xmax=0)
Fit histogram with function fname.
Definition: TH1.cxx:3565