def closure():
# genmatch for e->e and e->g, without Ht100To200 bin
filename = "/user/rmeyer/Dropbox/data_uni/root_selectorFiles/myTestSelector_closureWJetsToLNu__1466503598.root"
# no genmatch for e->e, only leading em object
filename = "/user/rmeyer/Dropbox/data_uni/root_selectorFiles/myTestSelector_closureWJetsToLNu__1466514536.root"
# nur barrell
filename = "/user/rmeyer/Dropbox/data_uni/root_selectorFiles/myTestSelector_closureWJetsToLNu__1466514983.root"
# drell yan
#filename = "/user/rmeyer/Dropbox/data_uni/root_selectorFiles/myTestSelector_closureDY__1466515252.root"
data = rt.TFile(filename)
g = data.Get("clos_gen_g")
e = data.Get("clos_gen_e")
f = 0.0107
f = 0.0077
edges = [50., 60., 70., 70., 80., 90., 100., 120., 140., 160., 250.]
#edges = [40., 250.]
g = aux.rebin(g, edges)
e = aux.rebin(e, edges)
#g.Rebin(10)
#e.Rebin(10)
print "predicted: ", e.Integral()*f/(1-f)
print "matched: ", g.Integral()
e.Scale(f/(1-f))
e.SetMarkerColor(rt.kRed)
g.SetMarkerColor(rt.kBlack)
e.SetMarkerStyle(rt.kFullCircle)
g.SetMarkerStyle(rt.kFullSquare)
# empty histogram
#h = rt.TH1F("h", "h", len(edges)-1, array( 'd', edges ))
### create ratio
#def ratio_hishis(h1, h2):
##returns h1/h2
ratio = aux.ratio_hishis(g, e)
ratio.GetYaxis().SetLabelSize(0.065)
ratio.GetYaxis().SetTitle("gen./pred.")
ratio.GetYaxis().SetTitleSize(0.08)
ratio.GetYaxis().SetTitleOffset(0.5)
ratio.GetXaxis().SetLabelSize(0.)
ratio.GetXaxis().SetTitleSize(0.)
l = rt.TLegend(0.5,0.7,0.9,0.9);
l.AddEntry(g, "N_{e#rightarrow#gamma}", "ep")
l.AddEntry(e, "N_{e#rightarrowe} * f/(1-f)", "ep")
c = rt.TCanvas("c", "c", 700, 700)
c.cd()
p1 = rt.TPad("p1", "p1", 0., 0.3, 1., 1.)
p1.SetLeftMargin(0.12)
p1.Draw()
p1.cd()
g.Draw("ep")
e.Draw("ep same")
l.Draw()
c.cd()
p2 = rt.TPad("p2", "p2", 0., 0.01, 1., 0.3)
p2.SetLeftMargin(0.12)
p2.SetGridy()
p2.Draw()
p2.cd()
ratio.Draw("ep")
raw_input()
return 0
def histoCanvas(fs, name, target, prediction, clabel, logy=True, yrng=[], *opt):
# CLOSURE PLOTS
cwidth = 800
cheight = 800
rat = 0.35
rt.gStyle.SetLegendBorderSize(0)
c = rt.TCanvas(name, name, cwidth, cheight)
rt.gStyle.SetTitleFontSize(0.07)
c.cd()
#c.SetGridx()
#c.SetGrid()
target.GetXaxis().SetTitleSize(0.05)
target.GetXaxis().SetLabelSize(0.0)
target.GetYaxis().SetTitleSize(0.06)
target.GetYaxis().SetLabelSize(0.05)
target.GetYaxis().SetTitleOffset(1.3)
target.GetYaxis().SetTitle("Events / bin")
target.SetFillColor(rt.kGray+2)
target.SetLineColor(rt.kGray+2)
target.SetTitle(clabel)
prediction.SetMarkerStyle(rt.kFullCircle)
prediction.SetMarkerColor(rt.kRed)
if not yrng:
pass
else:
target.SetMinimum(yrng[0])
target.SetMaximum(yrng[1])
prediction.SetMinimum(yrng[0])
prediction.SetMaximum(yrng[1])
#l = rt.TLegend()
ratio = aux.ratio_hishis(target, prediction)
ratio.SetTitle("")
ratio.GetXaxis().SetTitleSize(0.15)
ratio.GetXaxis().SetLabelSize(0.1)
ratio.GetYaxis().SetTitle("exp. / pred.")
ratio.GetYaxis().SetTitleSize(0.12)
ratio.GetYaxis().SetLabelSize(0.09)
ratio.GetYaxis().SetTitleOffset(0.6)
#ratio.GetYaxis().SetNdivisions(7)
ratio.SetMinimum(0.85)
ratio.SetMaximum(1.15)
pad1 = rt.TPad("pad1","pad1",0,rat,1,1)
pad1.SetGridx()
pad1.SetGridy()
if logy:
pad1.SetLogy()
pad1.SetBottomMargin(0)
pad1.SetLeftMargin(0.16)
pad1.Draw()
pad1.cd()
#pad1.SetLogy()
pad1.Update()
offset = -0.1
leg = rt.TLegend(.6+offset,.75+offset,.97+offset,.97+offset)
leg.SetFillColor(rt.kWhite)
leg.SetFillStyle(0)
leg.AddEntry(target, "N_{e#rightarrow#gamma}", "f")
leg.AddEntry(prediction, "Tag n probe", "ep")
#'''
#egraph.GetYaxis().SetTitle("Fakerate")
#egraph.GetYaxis().SetTitleOffset(1.3)
#egraph.GetYaxis().SetTitleSize(0.05)
#egraph.GetXaxis().SetLabelSize(0.0)
#egraph.GetXaxis().SetTitleSize(0.05)
#.SetMaximum(0.015)
#eff.GetXaxis().SetRangeUser(0.,210.)
#egraph.SetMinimum(0.)
#eff.Draw("ap")
#print leg
prediction.DrawClone("ep")
target.Draw("E2")
prediction.Draw("ep same")
if logy:
pad1.SetLogy()
#leg = rt.TLegend(0.1,0.7,0.48,0.9);
#leg.AddEntry(target, "N_{e#rightarrow#gamma}", "f")
leg.Draw()
#leg = pad1.BuildLegend()
#rt.gPad.ls()
#leg.Draw()
#if leg is not None:
#leg.Draw()
c.cd()
pad2 = rt.TPad("pad2","pad2",0,0,1,rat)
pad2.SetGridy()
pad2.SetGridx()
pad2.SetTopMargin(0)
pad2.SetBottomMargin(0.35)
pad2.SetLeftMargin(0.16)
pad2.Draw()
pad2.cd()
oneline = rt.TF1("oneline", "1", target.GetXaxis().GetXmin(),
target.GetXaxis().GetXmax())
oneline.SetLineWidth(1)
oneline.SetLineColor(rt.kBlack)
ratio.Draw("ep")
oneline.Draw("same")
pad2.Update()
c.Update()
#drawCMS(c)
#c.Update()
fs.savePdf(c, name)
c.Close()
#raw_input()
#ch[names[num]] = c.Clone(names[num])
#ch[names[num]].SetDirectory(0)
#ch[names[num]].Update()
return 0
