#!/usr/bin/python
# -*- coding: utf-8 -*-
import ROOT
import numpy
from tools import *
from Styles import tdrStyle
from kalibration import *
tdrStyle()
def normedHist( name, color, func = 0):
if func == 0:
hist = tkaToHist( name, 2000, 16000 )
hist.Rebin(50)
else:
# let's hope func is a TF1
hist = tkaToTimeHist(name, func , -2, 8 )
hist.Scale(1./hist.Integral())
hist.GetYaxis().SetTitle("Normierte Eintr#ddot{a}ge")
hist.SetLineColor( color )
hist.SetMarkerStyle( 23 + color )
hist.SetMarkerSize( 1.5 )
hist.SetMarkerColor( color )
return hist
func = kalibration()
alutime = normedHist( 'data/aluminium.TKA', 3, func )
polytime = normedHist( 'data/poly.TKA', 4, func )
cotime = normedHist( 'data/co60.TKA', 1, func )
#!/usr/bin/python
# -*- coding: utf-8 -*-
from Styles import tdrStyle
style = tdrStyle()
from tools import *
import ROOT
def plotSpectrum():
'''
plots the spectrum for data selection in the slow circuit
'''
hist = tkaToHist( 'data/auswahl.TKA', 0, 10500 )
can = ROOT.TCanvas()
can.cd()
can.SetLogy()
can.SetBatch()
can.SetCanvasSize( 1400, 800 )
hist.SetMinimum(9)
hist.Draw()
grenzkanaele = [ 260, 3630] # richtige kanalnummer rausfinden
lines = []
hist.SetYTitle('Eintr#ddot{a}ge')
hist.Draw()
for grenzkanal in grenzkanaele:
line = ROOT.TLine( grenzkanal, hist.GetMinimum(), grenzkanal, hist.GetMaximum() + 7500 )
line.SetLineStyle(2)
line.SetLineWidth(2)
line.Draw()
lines.append(line)
