| 6 |
|
from multiplot import * |
| 7 |
|
from treeFunctions import * |
| 8 |
|
import Styles |
| 9 |
< |
Styles.tdrStyle() |
| 9 |
> |
style = Styles.tdrStyle() |
| 10 |
> |
style.SetOptLogy(0) |
| 11 |
> |
ROOT.TGaxis.SetMaxDigits(3) |
| 12 |
> |
import os |
| 13 |
|
|
| 14 |
|
import ConfigParser |
| 15 |
|
axisConf = ConfigParser.SafeConfigParser() |
| 34 |
|
hist.SetLineWidth(2) |
| 35 |
|
ratioHists.append( hist ) |
| 36 |
|
|
| 37 |
< |
ratioHists[0].Divide( ratioHists[1] ) |
| 37 |
> |
#ratioHists[0].Divide( ratioHists[1] ) # normal division |
| 38 |
> |
ratioHists[0].Divide( ratioHists[0], ratioHists[1], 1, 1, "B" ) # division using bayes theorem |
| 39 |
|
ratioHists[0].SetTitle(";%s%s;%s/%s"%(label,unit,d1.label,d2.label)) |
| 40 |
|
return ratioHists[0] |
| 41 |
|
|
| 42 |
|
|
| 43 |
< |
if True: |
| 43 |
> |
if __name__ == "__main__": |
| 44 |
|
arguments = argparse.ArgumentParser( description="Simple EWK" ) |
| 45 |
|
arguments.add_argument( "--plot", default="photon.pt" ) |
| 46 |
< |
arguments.add_argument( "--dataset", default="EWK" ) |
| 46 |
> |
arguments.add_argument( "--input", default="EWK_V01.12_tree.root" ) |
| 47 |
> |
arguments.add_argument( "--savePrefix", default="new" ) |
| 48 |
|
opts = arguments.parse_args() |
| 49 |
|
|
| 50 |
< |
version = "07" |
| 51 |
< |
fileName = "slim%s_V01.%s_tree.root"%(opts.dataset, version ) |
| 50 |
> |
ROOT.gROOT.SetBatch() |
| 51 |
> |
import re |
| 52 |
> |
# dataset name is from beginning till first '_' |
| 53 |
> |
slimFileName = opts.input.replace( os.path.basename(opts.input), "slim"+os.path.basename(opts.input)) |
| 54 |
> |
dataset = re.match("slim([^_]*)_.*", slimFileName ).groups()[0] |
| 55 |
|
|
| 56 |
< |
genE = Dataset( fileName, "genElectronTree", "abs(genElectron.eta) < 1.479", "e_{gen}", 3 ) |
| 57 |
< |
recE = Dataset( fileName, "photonElectronTree", "@genElectron.size()>0 && photon[0].pixelseed < 0", "e", 2 ) |
| 58 |
< |
gamma = Dataset( fileName, "photonTree", "@genElectron.size()>0 && photon[0].pixelseed < 0", "#gamma", 1 ) |
| 56 |
> |
|
| 57 |
> |
genE = Dataset( slimFileName, "genElectronTree", "1", "e_{gen}", 3 ) |
| 58 |
> |
genE_with_match = Dataset( slimFileName, "genElectronTree", "genElectron.phi > 4", "e_{gen, match}", 1 ) |
| 59 |
> |
gamma = Dataset( slimFileName, "photonTree", "1", "#gamma", 1 ) |
| 60 |
> |
gamma_with_match = Dataset( slimFileName, "photonTree", "photon.genInformation == 1", "#gamma_{match}", 1 ) |
| 61 |
|
|
| 62 |
|
label, unit = readAxisConf( opts.plot, axisConf ) |
| 63 |
< |
h = divideDatasets( gamma, recE, label, unit ) |
| 63 |
> |
e_match_e_reco = divideDatasets( gamma_with_match, genE, label, unit ) |
| 64 |
> |
e_match = divideDatasets( genE_with_match, gamma, label, unit ) |
| 65 |
|
|
| 66 |
|
|
| 67 |
|
can = ROOT.TCanvas() |
| 68 |
|
can.cd() |
| 69 |
|
can.SetLogy(0) |
| 70 |
|
|
| 71 |
+ |
datasetLabel = ROOT.TPaveText(.4,.9,.6,.98, "ndc") |
| 72 |
+ |
datasetLabel.SetFillColor(0) |
| 73 |
+ |
datasetLabel.SetBorderSize(0) |
| 74 |
+ |
datasetLabel.AddText( dataset ) |
| 75 |
+ |
|
| 76 |
+ |
|
| 77 |
+ |
e_match_e_reco.GetYaxis().SetTitle("#varepsilon_{match}#upointf_{e_{gen}#rightarrow#gamma}") |
| 78 |
+ |
e_match_e_reco.Draw("e") |
| 79 |
+ |
datasetLabel.Draw() |
| 80 |
+ |
can.SaveAs("plots/%sEfficiencyFakeRate.pdf"%dataset) |
| 81 |
+ |
e_match.GetYaxis().SetTitle("#varepsilon_{match}") |
| 82 |
+ |
e_match.Draw("e") |
| 83 |
+ |
datasetLabel.Draw() |
| 84 |
+ |
can.SaveAs("plots/%sEfficiency.pdf"%dataset) |
| 85 |
+ |
|
| 86 |
+ |
h = e_match_e_reco.Clone("fakerate") |
| 87 |
+ |
h.GetYaxis().SetTitle("f_{e_{gen}#rightarrow #gamma}") |
| 88 |
+ |
|
| 89 |
+ |
h.Divide( e_match ) |
| 90 |
+ |
#h = divideDatasets( gamma, recE, label, unit ) |
| 91 |
+ |
|
| 92 |
+ |
|
| 93 |
|
yutaro = h.Clone("yutaro") |
| 94 |
< |
yutaro.SetBinContent(1,0.0196) |
| 95 |
< |
yutaro.SetBinError(1,0.0004) |
| 96 |
< |
yutaro.SetBinContent(2,0.0198) |
| 97 |
< |
yutaro.SetBinError(2,0.0006) |
| 98 |
< |
yutaro.SetBinContent(3,0.0202) |
| 99 |
< |
yutaro.SetBinError(3,0.0002) |
| 100 |
< |
yutaro.SetBinContent(4,0.0180) |
| 101 |
< |
yutaro.SetBinError(4,0.0004) |
| 102 |
< |
yutaro.SetBinContent(5,0.0162) |
| 103 |
< |
yutaro.SetBinError(5,0.0006) |
| 104 |
< |
yutaro.SetBinContent(6,0.0148) |
| 105 |
< |
yutaro.SetBinError(6,0.0010) |
| 94 |
> |
yutaro.SetBinContent(1,0.0131) |
| 95 |
> |
yutaro.SetBinError (1,0.0004) |
| 96 |
> |
yutaro.SetBinContent(2,0.0146) |
| 97 |
> |
yutaro.SetBinError (2,0.0002) |
| 98 |
> |
yutaro.SetBinContent(3,0.0148) |
| 99 |
> |
yutaro.SetBinError (3,0.0001) |
| 100 |
> |
yutaro.SetBinContent(4,0.0111) |
| 101 |
> |
yutaro.SetBinError (4,0.0002) |
| 102 |
> |
yutaro.SetBinContent(5,0.0111) |
| 103 |
> |
yutaro.SetBinError (5,0.0004) |
| 104 |
> |
yutaro.SetBinContent(6,0.0085) |
| 105 |
> |
yutaro.SetBinError (6,0.0005) |
| 106 |
|
yutaro.SetLineColor(2) |
| 107 |
|
yutaro.SetMarkerColor(2) |
| 108 |
|
|
| 111 |
|
h.Draw("e") |
| 112 |
|
yutaro.Draw("same e0") |
| 113 |
|
|
| 114 |
< |
can.SaveAs("pt_fake_new.pdf") |
| 114 |
> |
leg = myLegend(.5,.70,.95,.92) |
| 115 |
> |
leg.AddEntry( h, h.GetYaxis().GetTitle(), "lp") |
| 116 |
> |
leg.AddEntry( yutaro, "Yutaro's f_{e#rightarrow#gamma}", "lp" ) |
| 117 |
> |
leg.SetBorderSize(1) |
| 118 |
> |
leg.Draw() |
| 119 |
> |
|
| 120 |
> |
datasetLabel.Draw() |
| 121 |
> |
|
| 122 |
> |
|
| 123 |
> |
saveName = "%s_%s_%s_%s"%(h.GetYaxis().GetTitle(),dataset,opts.plot,opts.savePrefix) |
| 124 |
> |
saveName = saveName.replace("/","VS") |
| 125 |
> |
saveName = saveName.replace(" ","_") |
| 126 |
> |
unallowedCharacters = ["{","}","(",")","#","|","."] |
| 127 |
> |
for char in unallowedCharacters: |
| 128 |
> |
saveName = saveName.replace( char, "" ) |
| 129 |
> |
|
| 130 |
> |
can.SaveAs("plots/%s.pdf"%saveName) |
| 131 |
> |
|
| 132 |
> |
|
