Float_t sigma = 1.5;
Float_t sigmaMax = 4;
gROOT->SetStyle("Plain");
- TH1F *distribution = new TH1F("Distribution", "Distribution f(x, #mu, #sigma)", 1000,-5,5);
+ TH1F *distribution = new TH1F("Distribution1", "Distribution f(x, #mu, #sigma)", 1000,-5,5);
TRandom rand(23);
for (Int_t i = 0; i <50000;i++) distribution->Fill(rand.Gaus(mean, sigma));
Float_t *ar = distribution->GetArray();
- TCanvas* macro_example_canvas = new TCanvas("macro_example_canvas", "", 350, 350);
+ TCanvas* macro_example_canvas = new TCanvas("macro_example_canvas_SigmaCut", "", 350, 350);
macro_example_canvas->Divide(0,3);
TVirtualPad *pad1 = macro_example_canvas->cd(1);
pad1->SetGridy();
Float_t sigma = 1.5;
Float_t sigmaMax = 4;
gROOT->SetStyle("Plain");
- TH1F *distribution = new TH1F("Distribution", "Distribution f(x, #mu, #sigma)", 1000,-5,5);
+ TH1F *distribution = new TH1F("Distribution2", "Distribution f(x, #mu, #sigma)", 1000,-5,5);
TRandom rand(23);
for (Int_t i = 0; i <50000;i++) distribution->Fill(rand.Gaus(mean, sigma));
Float_t *ar = distribution->GetArray();
- TCanvas* macro_example_canvas = new TCanvas("macro_example_canvas", "", 350, 350);
+ TCanvas* macro_example_canvas = new TCanvas("macro_example_canvas_Integrate", "", 350, 350);
macro_example_canvas->Divide(0,2);
TVirtualPad *pad1 = macro_example_canvas->cd(1);
pad1->SetGridy();