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fitConvolution.C File Reference

Detailed Description

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Tutorial for convolution of two functions

Minimizer is Minuit2 / Migrad
Chi2 = 298.12
NDf = 96
Edm = 1.67196e-06
NCalls = 448
p0 = 7.32861 +/- 0.0370492
p1 = 0.0733018 +/- 0.00243973
p2 = -2.26418 +/- 0.0491372
p3 = 1.12808 +/- 0.0628185
#include <TCanvas.h>
#include <TRandom.h>
#include <TF1Convolution.h>
#include <TF1.h>
#include <TH1F.h>
// Construction of histogram to fit.
TH1F *h_ExpGauss = new TH1F("h_ExpGauss", "Exponential convoluted by Gaussian", 100, 0., 5.);
for (int i = 0; i < 1e6; i++) {
// Gives a alpha of -0.3 in the exp.
double x = gRandom->Exp(1. / 0.3);
x += gRandom->Gaus(0., 3.);
// Probability density function of the addition of two variables is the
// convolution of two density functions.
TF1Convolution *f_conv = new TF1Convolution("expo", "gaus", -1, 6, true);
f_conv->SetRange(-1., 6.);
TF1 *f = new TF1("f", *f_conv, 0., 5., f_conv->GetNpar());
f->SetParameters(1., -0.3, 0., 1.);
// Fit.
new TCanvas("c", "c", 800, 1000);
#define f(i)
Definition RSha256.hxx:104
R__EXTERN TRandom * gRandom
Definition TRandom.h:62
The Canvas class.
Definition TCanvas.h:23
Class wrapping convolution of two functions.
Int_t GetNpar() const
void SetRange(Double_t a, Double_t b) override
Set the actual range used for the convolution.
void SetNofPointsFFT(Int_t n)
Set the number of points used for the FFT convolution.
1-Dim function class
Definition TF1.h:214
1-D histogram with a float per channel (see TH1 documentation)}
Definition TH1.h:577
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:3901
virtual Int_t Fill(Double_t x)
Increment bin with abscissa X by 1.
Definition TH1.cxx:3345
void Draw(Option_t *option="") override
Draw this histogram with options.
Definition TH1.cxx:3067
virtual Double_t Gaus(Double_t mean=0, Double_t sigma=1)
Samples a random number from the standard Normal (Gaussian) Distribution with the given mean and sigm...
Definition TRandom.cxx:274
virtual Double_t Exp(Double_t tau)
Returns an exponential deviate.
Definition TRandom.cxx:251
Double_t x[n]
Definition legend1.C:17
Aurelie Flandi

Definition in file fitConvolution.C.