The histogram then fit with the fitting function using the fit method

- Create Gaussian distribution with noise (choose 1 method to do that) and fit proper function to it.

G

#include <TH1F.h>

#include <TF1.h>

double sigma = 1.0;

// Create a random number generator

for (int i = 0; i < 10000; ++i) {

double noise = 0.01 * random.Uniform(-1, 1); // Generate noise from a uniform distribution

TF1* fittingFunction = new TF1("fittingFunction", "gaus");

// Fit the histogram with the fitting function

canvas->Update();

return 0;