// pm: Decide weather Begin_Latex t > 0 End_Latex (first case) or Begin_Latex t End_Latex arbitrary (secound case)
// The actual work is done on the array.
/* Begin_Latex
- f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{#mu}^{#mu + t #sigma} f(x, #mu, #sigma) dx + #int_{#mu}^{#mu - t #sigma} f(x, #mu, #sigma) dx }{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx } , for t > 0
+ f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = (#int_{#mu}^{#mu + t #sigma} f(x, #mu, #sigma) dx + #int_{#mu}^{#mu - t #sigma} f(x, #mu, #sigma) dx) / (#int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx), for t > 0
or
- f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{#mu}^{#mu + t #sigma} f(x, #mu, #sigma) dx}{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx }
+ f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #int_{#mu}^{#mu + t #sigma} f(x, #mu, #sigma) dx / #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx
End_Latex
- begin_macro(source)
+ Begin_Macro(source)
{
Float_t mean = 0;
Float_t sigma = 1.5;
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_SigmaCut", "", 350, 350);
+ TCanvas* macro_example_canvas = new TCanvas("cAliBaseCalibViewer", "", 350, 350);
macro_example_canvas->Divide(0,3);
TVirtualPad *pad1 = macro_example_canvas->cd(1);
pad1->SetGridy();
shistPM->Draw();
return macro_example_canvas;
}
- end_macro
+ End_Macro
*/
Float_t *array = histogram->GetArray();
// "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used
// The actual work is done on the array.
/* Begin_Latex
- f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{-#infty}^{#mu + t #sigma} f(x, #mu, #sigma) dx}{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx }
+ f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #int_{-#infty}^{#mu + t #sigma} f(x, #mu, #sigma) dx / #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx
End_Latex
*/
// "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used
// The actual work is done on the array.
/* Begin_Latex
- f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #frac{#int_{-#infty}^{#mu + t #sigma} f(x, #mu, #sigma) dx}{ #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx }
+ f(x, #mu, #sigma) #Rightarrow S(t, #mu, #sigma) = #int_{-#infty}^{#mu + t #sigma} f(x, #mu, #sigma) dx / #int_{-#infty}^{+#infty} f(x, #mu, #sigma) dx
End_Latex
- begin_macro(source)
+ Begin_Macro(source)
{
Float_t mean = 0;
Float_t sigma = 1.5;
return macro_example_canvas_Integrate;
}
- end_macro
+ End_Macro
*/