36 TH1F *h_ExpGauss =
new TH1F(
"h_ExpGauss",
"Exponential convoluted by gaussian",100,0.,5.);
37 for (
int i=0;i<1e6;i++)
47 TF1 *
f =
new TF1(
"f",*f_conv, 0., 5., f_conv->
GetNpar());
48 f->SetParameters(1.,-0.3,0.,1.);
51 new TCanvas(
"c",
"c",800,1000);
52 h_ExpGauss ->
Fit(
"f");
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...
Class wrapping convolution of two functions.
void SetRange(Double_t a, Double_t b)
void SetNofPointsFFT(Int_t n)
R__EXTERN TRandom * gRandom
TFitResultPtr Fit(FitObject *h1, TF1 *f1, Foption_t &option, const ROOT::Math::MinimizerOptions &moption, const char *goption, ROOT::Fit::DataRange &range)
virtual Double_t Exp(Double_t tau)
Returns an exponential deviate.