int ipad = 1;
 
void smooth_hist(
const char * fname, 
double xmin, 
double xmax, 
int n1, 
int n2) {
 
 
   std::cout << "smoothing a " << fname << " histogram" << std::endl;
 
 
 
 
   if (p2 < p1) 
Error(
"testSmooth",
"TH1::Smooth is not working correctly - a worst chi2 is obtained");
 
 
   std::cout << " chi2 test non-smoothed histo " << p1 <<  std::endl;
   std::cout << " chi2 test smoothed histo     " << p2 <<  std::endl;
 
 
   std::cout << " AD test non-smoothed histo " << a1 <<  std::endl;
   std::cout << " AD test smoothed histo     " << a2 <<  std::endl;
 
 
   std::cout << " KS test non-smoothed histo " << k1 <<  std::endl;
   std::cout << " KS test smoothed histo     " << k2 <<  std::endl;
 
   h2->
Scale(
double(n1)/n2);
 
}
 
void testSmooth(int n1 = 1000, int n2 = 1000000) {
 
 
 
 
   smooth_hist("gaus",-5,5,n1,n2);
   smooth_hist("landau",-5,15,n1,n2);
   smooth_hist("expo",-5,0,n1,n2);
 
}
void Error(const char *location, const char *msgfmt,...)
Use this function in case an error occurred.
 
virtual void SetLineColor(Color_t lcolor)
Set the line color.
 
1-D histogram with a double per channel (see TH1 documentation)}
 
virtual void Smooth(Int_t ntimes=1, Option_t *option="")
Smooth bin contents of this histogram.
 
static void AddDirectory(Bool_t add=kTRUE)
Sets the flag controlling the automatic add of histograms in memory.
 
virtual void FillRandom(const char *fname, Int_t ntimes=5000, TRandom *rng=nullptr)
Fill histogram following distribution in function fname.
 
void Draw(Option_t *option="") override
Draw this histogram with options.
 
void SetName(const char *name) override
Change the name of this histogram.
 
virtual Double_t AndersonDarlingTest(const TH1 *h2, Option_t *option="") const
Statistical test of compatibility in shape between this histogram and h2, using the Anderson-Darling ...
 
virtual Double_t Chi2Test(const TH1 *h2, Option_t *option="UU", Double_t *res=nullptr) const
test for comparing weighted and unweighted histograms
 
virtual void Scale(Double_t c1=1, Option_t *option="")
Multiply this histogram by a constant c1.
 
virtual Double_t KolmogorovTest(const TH1 *h2, Option_t *option="") const
Statistical test of compatibility in shape between this histogram and h2, using Kolmogorov test.