Basic functionality: examples on normalization and integration of pdfs, construction of cumulative distribution functions from monodimensional pdfs
from __future__ import print_function
import ROOT
nset = {x}
xset = {x}
frame =
x.frame(Title=
"cdf of Gaussian pdf")
c =
ROOT.TCanvas(
"rf110_normintegration",
"rf110_normintegration", 600, 600)
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
gx = 0.8007374029168081
gx_Norm[x] = 0.1068955044839622
gx_Int[x] = 7.490842639102233
[#1] INFO:Eval -- RooRealVar::setRange(x) new range named 'signal' created with bounds [-5,5]
gx_Int[x|signal]_Norm[x] = 0.8347532778470285
- Date
- February 2018
- Authors
- Clemens Lange, Wouter Verkerke (C++ version)
Definition in file rf110_normintegration.py.