"""
Theory: Signal hypothesis is excluded at the 95% CL if CLs = 0.05
and at more than the 95% CL if CLs < 0.05, assuming that signal is present

Authors:  Christophe.Delaere@cern.ch on 21.08.02 and Sergei Chekanov
"""

from java.awt import Color,Font
from java.util import Random
from jhplot import *
from jhpro.stat import *

c1 = HPlot("Canvas",600,400)
c1.setGTitle("Computation of 95 % C.L. limits")
c1.visible()
c1.setRange(-4,4,0.0,120)
c1.setNameX("Variable")
c1.setNameY("Events")


# set
background = H1D("Background",30,-4.0,4.0)
background.setColor(Color.green)
background.setFill(1)
background.setFillColor(Color.green)
background.setErrAll(0)

signal     = H1D("Signal",30,-4.0,4.0)
signal.setFill(1)
signal.setFillColor(Color.red)
signal.setColor(Color.red)

data     = H1D("Data",30,-4.0,4.0)
data.setColor(Color.black)
data.setStyle("p")

r=Random()
for i in range(25000):
      background.fill(r.nextGaussian(),0.02)
      signal.fill(1+0.2*r.nextGaussian(),0.001)
for i in range(500):
      data.fill(r.nextGaussian(),1.0)    

sigback=background.oper(signal,"Signal+Background","+")
sigback.setErrAll(0)

c1.draw(signal)
c1.draw(background)
c1.draw(sigback)
c1.draw(data)

datasource = DataSource(signal, background,data)
climit = CLimits(datasource, 100000)
confidence = climit.getLimit()
print "CLs    : " ,confidence.getCLs()
print "CLb    : " ,confidence.getCLb()
print "CLsb    : " ,confidence.getCLsb()
print "expected     : " ,confidence.getExpectedCLs_b()
print "expected     : " ,confidence.getExpectedCLb_b()
print "expected     : " ,confidence.getExpectedCLb_b()

print "Signal hypothesis is excluded at level (%) ", (1-confidence.getCLs())*100.

# export to some image (png,eps,pdf,jpeg...)
# c1.export(Editor.DocMasterName()+".png");
# edit the image
# IEditor(Editor.DocMasterName()+".png");