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xsec.py
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xsec.py
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import re
import ROOT as root
import helpers
lumiDict={}
#lumiDict["8TeV"] = 19.79 #2012ABCD 22Jan2013 HF-Lumi
lumiDict["8TeV"] = 19.712 #2012ABCD 22Jan2013 Pixel-Lumi
lumiDict["7TeV"] = 5.05 #2011AB
#LUMI=0.807 #2012A
#LUMI=4.421 #2012B
#LUMI=0.495 #2012Cv1
#LUMI=6.311 #2012Cv2
#LUMI=2.311 #2011A
#LUMI=2.739 #2011B
brDict = helpers.readCSVXS("etc/br.csv")
ggHDict8 = helpers.readCSVXS("etc/ggH_8TeV.csv")
vbfHDict8 = helpers.readCSVXS("etc/vbfH_8TeV.csv")
wHDict8 = helpers.readCSVXS("etc/wH_8TeV.csv")
zHDict8 = helpers.readCSVXS("etc/zH_8TeV.csv")
ggHDict7 = helpers.readCSVXS("etc/ggH_7TeV.csv")
vbfHDict7 = helpers.readCSVXS("etc/vbfH_7TeV.csv")
wHDict7 = helpers.readCSVXS("etc/wH_7TeV.csv")
zHDict7 = helpers.readCSVXS("etc/zH_7TeV.csv")
class CrossSections:
def __init__(self):
self.data = {}
self.br = helpers.readCSVXS("etc/br.csv")
self.vbf = {}
self.gg = {}
self.wh = {}
self.zh = {}
for e in ["8TeV","7TeV"]:
self.vbf[e] = helpers.readCSVXS("etc/vbfH_"+e+".csv")
self.gg[e] = helpers.readCSVXS("etc/ggH_"+e+".csv")
self.wh[e] = helpers.readCSVXS("etc/wH_"+e+".csv")
self.zh[e] = helpers.readCSVXS("etc/zH_"+e+".csv")
def keys(self):
return self.data.keys()
def __setitem__(self,key,value):
self.data[key] = value
def __getitem__(self,key):
key = key.replace("ChangeEvents","")
match = re.match(r"([a-z]+)Hmumu([\d.]+)_([\d]+TeV)",key)
if match:
prodMode = match.group(1)
mass = match.group(2)
energy = match.group(3)
result = -1.
if prodMode == "vbf":
result = self.vbf[energy][mass]
elif prodMode == "gg":
result = self.gg[energy][mass]
elif prodMode == "wh":
result = self.wh[energy][mass]
elif prodMode == "zh":
result = self.zh[energy][mass]
else:
raise Exception("Higgs Production mode not recognized for: " + key)
return result * self.br[mass]
else:
return self.data[key]
xsec = CrossSections()
xsec["DYJetsToLL_8TeV"] = 3503.71 ## madgraph
xsec["DY2JetsToLL_8TeV"] = 181. ## madgraph
xsec["DY3JetsToLL_8TeV"] = 51.1 ## madgraph
xsec["DY4JetsToLL_8TeV"] = 23.04 ## madgraph
xsec["ttbar_8TeV"] = 225.197 ## madgraph
xsec["DYToMuMu_8TeV"] = 5745.25/3.0 ## powheg
xsec["DYToTauTau_8TeV"] = 5745.25/3.0 ## powheg
xsec["WW_8TeV"] = 54.838
xsec["WZ_8TeV"] = 33.21
xsec["ZZ_8TeV"] = 17.654
xsec["WJetsToLNu_8TeV"] = 36257.2
xsec["QCD_8TeV"] = 1.346e5
xsec["DYJetsToLL_7TeV"] = 3048. ## madgraph
xsec["ttbar_7TeV"] = 157.5 ## madgraph
xsec["DYToMuMu_7TeV"] = 1666. ## powheg
xsec["DYToTauTau_7TeV"] = 1666. ## powheg
xsec["WW_7TeV"] = 43.
xsec["WZ_7TeV"] = 18.2
xsec["ZZ_7TeV"] = 5.9
xsec["WJetsToLNu_7TeV"] = 27770.
xsec["QCD_7TeV"] = 84679.
#LHC Higgs XS WG: European Strat Group
xsec["DYJetsToLL_14TeV"] = 6131.
xsec["ttbar_14TeV"] = 964.6 #LHC Higgs XS WG: European Strat Group
nEventsMap = {}
#nEventsMap["ggHmumu125_8TeV"] = 9998
#nEventsMap["vbfHmumu125_8TeV"] = 9990
# For Different than changing sample
#nEventsMap["ggHmumu125_8TeV"] = 9999
#nEventsMap["vbfHmumu125_8TeV"] = 7992
#nEventsMap["ggHmumu125ChangeEvents_8TeV"] = 9999
#nEventsMap["vbfHmumu125ChangeEvents_8TeV"] = 7992
# For different large check samples
nEventsMap["ggHmumu125_8TeV"] = 49994
nEventsMap["vbfHmumu125_8TeV"] = 49894
nEventsMap["zhHmumu125_8TeV"] = 10000
nEventsMap["whHmumu125_8TeV"] = 10000
nEventsMap["DYJetsToLL_8TeV"] = 30086987
nEventsMap["DY2JetsToLL_8TeV"] = 0.000001
nEventsMap["DY3JetsToLL_8TeV"] = 0.000001
nEventsMap["DY4JetsToLL_8TeV"] = 0.000001
nEventsMap["ttbar_8TeV"] = 6921652
nEventsMap["DYToMuMu_8TeV"] = 48179386
nEventsMap["DYToTauTau_8TeV"] = 3295238
nEventsMap["WW_8TeV"] = 5218045
nEventsMap["WZ_8TeV"] = 10000283
nEventsMap["ZZ_8TeV"] = 10320000
nEventsMap["WJetsToLNu_8TeV"] = 44371574
nEventsMap["QCD_8TeV"] = 20764602
#nEventsMap["ggHmumu125_7TeV"] = 10000
#nEventsMap["vbfHmumu125_7TeV"] = 9994
# For different large check samples
nEventsMap["ggHmumu125_7TeV"] = 49871
nEventsMap["vbfHmumu125_7TeV"] = 42861
nEventsMap["zhHmumu125_7TeV"] = 10000
nEventsMap["whHmumu125_7TeV"] = 10000
nEventsMap["DYJetsToLL_7TeV"] = 34334400
nEventsMap["ttbar_7TeV"] = 51360015
nEventsMap["DYToMuMu_7TeV"] = 23263564
nEventsMap["DYToTauTau_7TeV"] = 19937479
nEventsMap["WW_7TeV"] = 2145916
nEventsMap["WZ_7TeV"] = 4185243
nEventsMap["ZZ_7TeV"] = 4191045
nEventsMap["WJetsToLNu_7TeV"] = 0.00000001
nEventsMap["QCD_7TeV"] = 0.00000001
#nEventsMap["ggHmumu125_14TeV"] = nEventsMap["ggHmumu125_8TeV"]
#nEventsMap["vbfHmumu125_14TeV"] = nEventsMap["vbfHmumu125_8TeV"]
#nEventsMap["zHmumu125_14TeV"] = nEventsMap["zHmumu125_8TeV"]
#nEventsMap["wHmumu125_14TeV"] = nEventsMap["wHmumu125_8TeV"]
#nEventsMap["DYJetsToLL_14TeV"] = nEventsMap["DYJetsToLL_8TeV"]
#nEventsMap["ttbar_14TeV"] = nEventsMap["ttbar_8TeV"]
backgroundList = [
#"DYToMuMu",
"DYJetsToLL",
#"WJetsToLNu",
"ttbar",
"WW",
"WZ",
"ZZ"
#"QCD"
]
signalList = [
"ggHmumu125",
"vbfHmumu125",
"whHmumu125",
"zhHmumu125"
]
dataDict = {}
#dataDict["8TeV"] = [
# "SingleMuRun2012Av1",
# "SingleMuRun2012Av1Recover",
# "SingleMuRun2012Bv1",
# "SingleMuRun2012Cv1",
# "SingleMuRun2012Cv2",
# "SingleMuRun2012D"
#]
# Test with the new ReReco
dataDict["8TeV"] = [
"SingleMuRun2012Av1-22Jan2013",
"SingleMuRun2012Bv1-22Jan2013",
"SingleMuRun2012Cv1-22Jan2013",
"SingleMuRun2012Dv1-22Jan2013"
]
dataDict["7TeV"] = [
"SingleMuRun2011Av1",
"SingleMuRun2011Bv1"
]
legendEntries = {}
legendEntries["DYJetsToLL"] = "DY+Jets"
legendEntries["DY2JetsToLL"] = "DY+Jets"
legendEntries["DY3JetsToLL"] = "DY+Jets"
legendEntries["DY4JetsToLL"] = "DY+Jets"
legendEntries["DYToMuMu"] = "DY#rightarrow#mu#mu"
legendEntries["WJetsToLNu"] = "W#rightarrow#ell#nu+Jets"
legendEntries["ttbar"] = "t#bar{t}"
legendEntries["vbfHmumu125"] = "VBF H#rightarrow#mu#mu"
legendEntries["ggHmumu125"] = "GF H#rightarrow#mu#mu"
legendEntries["vbfHmumu125ChangeEvents"] = "New VBF H#rightarrow#mu#mu"
legendEntries["ggHmumu125ChangeEvents"] = "New GF H#rightarrow#mu#mu"
legendEntries["zhHmumu125"] = "ZH, H#rightarrow#mu#mu"
legendEntries["whHmumu125"] = "WH, H#rightarrow#mu#mu"
legendEntries["ttbar"] = "t#bar{t}"
legendEntries["DYToTauTau"] = "D#rightarrow#tau#tau"
legendEntries["WW"] = "VV"
legendEntries["WZ"] = "VV"
legendEntries["ZZ"] = "VV"
legendEntries["QCD"] = "QCD"
legendEntries["7TeV"] = "CMS Data 2011"
legendEntries["8TeV"] = "CMS Data 2012"
colors = {}
colors["DYJetsToLL"] = root.kOrange
colors["DY2JetsToLL"] = root.kOrange
colors["DY3JetsToLL"] = root.kOrange
colors["DY4JetsToLL"] = root.kOrange
colors["DYToMuMu"] = root.kOrange
colors["WJetsToLNu"] = root.kCyan
colors["vbfHmumu125"] = root.kBlue
colors["ggHmumu125"] = root.kRed
colors["vbfHmumu125ChangeEvents"] = root.kBlue+3
colors["ggHmumu125ChangeEvents"] = root.kRed+2
colors["zhHmumu125"] = root.kGreen+1
colors["whHmumu125"] = root.kOrange+7
colors["ttbar"] = root.kGreen-1
colors["DYToTauTau"] = root.kOrange+3 #brown
#colors["WW"] = root.kPink+9
#colors["WZ"] = root.kPink+9
#colors["ZZ"] = root.kPink+9
colors["WW"] = root.kPink+9
colors["WZ"] = colors["WW"]
colors["ZZ"] = colors["WW"]
colors["QCD"] = root.kSpring+8
efficiencyMap = {}
efficiencyMap["7TeV"] = 1.0
efficiencyMap["8TeV"] = 1.0
efficiencyMap["14TeV"] = 1.0
# Data/MC scale factors
mcPlotScaleFactorMap = {}
mcPlotScaleFactorMap["7TeV"] = 1.0 #IncPresel
mcPlotScaleFactorMap["8TeV"] = 1.0 #IncPresel
mcPlotScaleFactorMap["14TeV"] = 1.0
# MEKD Normalization Factors
MENormDict = {}
MENormDict['7TeV'] = {}
MENormDict['8TeV'] = {}
MENormDict['7TeV']['sigME'] = 2104
MENormDict['7TeV']['bakME'] = 41.72
MENormDict['7TeV']['sigMEPdf'] = 0.0143
MENormDict['7TeV']['bakMEPdf'] = 0.01406
MENormDict['8TeV']['sigME'] = 2104
MENormDict['8TeV']['bakME'] = 41.62
MENormDict['8TeV']['sigMEPdf'] = 0.008808
MENormDict['8TeV']['bakMEPdf'] = 0.009364
class NuisanceMap:
def __init__(self):
self.data = {}
self.br = helpers.readCSVXS("etc/br.csv")
self.vbf = {}
self.gg = {}
self.wh = {}
self.zh = {}
for e in ["8TeV","7TeV"]:
self.vbf[e] = helpers.readCSVXS("etc/vbfH_"+e+".csv")
self.gg[e] = helpers.readCSVXS("etc/ggH_"+e+".csv")
self.wh[e] = helpers.readCSVXS("etc/wH_"+e+".csv")
self.zh[e] = helpers.readCSVXS("etc/zH_"+e+".csv")
self.lumi = {
#"14TeV" : 1.044, # 2012 HF-Lumi
#"8TeV" : 1.044, # 2012 HF-Lumi
"14TeV" : 1.026, # 2012 Pixel-Lumi
"8TeV" : 1.026, # 2012 Pixel-Lumi
"7TeV" : 1.022,
}
self.JES = {
'gg' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : 1.0832,
'Jet2CutsGFPass' : 1.0585,
'Jet2CutsVBFPass' : 1.0759,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : 1.0799,
'Jet2CutsGFPass' : 1.0477,
'Jet2CutsVBFPass' : 1.0606,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
'vbf' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : 1.0572,
'Jet2CutsGFPass' : 1.0381,
'Jet2CutsVBFPass' : 1.0358,
'Jets01FailPtG10' : -1.0321,
'Jets01PassPtG10' : -1.0308,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : 1.0482,
'Jet2CutsGFPass' : 1.0249,
'Jet2CutsVBFPass' : 1.0185,
'Jets01FailPtG10' : -1.0278,
'Jets01PassPtG10' : -1.0250,
},
},
'wh' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
'zh' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
}
self.JER = {
'gg' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : -1.0166,
'Jet2CutsGFPass' : -1.0126,
'Jet2CutsVBFPass' : 1.0321,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : -1.0131,
'Jet2CutsGFPass' : -1.0101,
'Jet2CutsVBFPass' : -1.0273,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
'vbf' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : -1.0111,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : -1.0167,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : -1.0162,
'Jets01PassPtG10' : None,
},
},
'wh' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
'zh' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
}
self.PUID = {
'gg' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : 1.0109,
'Jet2CutsGFPass' : 1.0158,
'Jet2CutsVBFPass' : 1.0368,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : 1.0142,
'Jet2CutsGFPass' : 1.0174,
'Jet2CutsVBFPass' : 1.0386,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
'vbf' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : 1.0134,
'Jet2CutsGFPass' : 1.0160,
'Jet2CutsVBFPass' : 1.0324,
'Jets01FailPtG10' : 1.0115,
'Jets01PassPtG10' : 1.0108,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : 1.0155,
'Jet2CutsGFPass' : 1.0168,
'Jet2CutsVBFPass' : 1.0328,
'Jets01FailPtG10' : 1.0129,
'Jets01PassPtG10' : 1.0128,
},
},
'wh' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
'zh' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
}
self.MCStat = {
'gg' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : 1.0301,
'Jet2CutsGFPass' : 1.0572,
'Jet2CutsVBFPass' : 1.1628,
'Jets01FailPtG10' : 1.0154,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : 1.0308,
'Jet2CutsGFPass' : 1.0577,
'Jet2CutsVBFPass' : 1.1068,
'Jets01FailPtG10' : 1.0147,
'Jets01PassPtG10' : None,
},
},
'vbf' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : 1.0218,
'Jet2CutsGFPass' : 1.0177,
'Jet2CutsVBFPass' : 1.0208,
'Jets01FailPtG10' : 1.0628,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : 1.0178,
'Jet2CutsGFPass' : 1.0152,
'Jet2CutsVBFPass' : 1.0135,
'Jets01FailPtG10' : 1.0642,
'Jets01PassPtG10' : None,
},
},
'wh' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
'zh' : {
'7TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
'8TeV' : {
'Jet2CutsFailVBFGF' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsVBFPass' : None,
'Jets01FailPtG10' : None,
'Jets01PassPtG10' : None,
},
},
}
self.PDF = {
'gg' : {
'8TeV' : {
'Jets01PassPtG10' : 1.0799,
'Jets01FailPtG10' : 1.0844,
'Jet2CutsVBFPass' : 1.0578,
'Jet2CutsGFPass' : 1.0715,
'Jet2CutsFailVBFGF' : 1.0809,
},
'7TeV' : {
'Jets01PassPtG10' : 1.0830,
'Jets01FailPtG10' : 1.0868,
'Jet2CutsVBFPass' : 1.0593,
'Jet2CutsGFPass' : 1.0743,
'Jet2CutsFailVBFGF' : 1.0801,
},
},
'vbf' : {
'8TeV' : {
'Jets01PassPtG10' : 1.0197,
'Jets01FailPtG10' : 1.0186,
'Jet2CutsVBFPass' : 1.0378,
'Jet2CutsGFPass' : 1.0212,
'Jet2CutsFailVBFGF' : 1.0196,
},
'7TeV' : {
'Jets01PassPtG10' : 1.0220,
'Jets01FailPtG10' : 1.0214,
'Jet2CutsVBFPass' : 1.0448,
'Jet2CutsGFPass' : 1.0299,
'Jet2CutsFailVBFGF' : 1.0204,
},
},
'wh' : {
'8TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
'7TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
},
'zh' : {
'8TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
'7TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
},
}
self.PU = {
'gg' : {
'8TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : 1.0222,
'Jet2CutsGFPass' : 1.0103,
'Jet2CutsFailVBFGF' : 1.0112,
},
'7TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : 1.0222,
'Jet2CutsGFPass' : 1.0103,
'Jet2CutsFailVBFGF' : 1.0112,
},
},
'vbf' : {
'8TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : 1.0207,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
'7TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : 1.0207,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
},
'wh' : {
'8TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
'7TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
},
'zh' : {
'8TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
'7TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
},
}
self.QCDScale = {
'gg' : {
'8TeV' : {
'Jets01PassPtG10' : -1.0121,
'Jets01FailPtG10' : 1.0450,
'Jet2CutsVBFPass' : -1.1585,
'Jet2CutsGFPass' : 1.1515,
'Jet2CutsFailVBFGF' : -1.0662,
},
'7TeV' : {
'Jets01PassPtG10' : 1.0104,
'Jets01FailPtG10' : 1.0417,
'Jet2CutsVBFPass' : -1.2424,
'Jet2CutsGFPass' : -1.1608,
'Jet2CutsFailVBFGF' : 1.0626,
},
},
'vbf' : {
'8TeV' : {
'Jets01PassPtG10' : -1.0139,
'Jets01FailPtG10' : -1.1598,
'Jet2CutsVBFPass' : 1.0313,
'Jet2CutsGFPass' : -1.0372,
'Jet2CutsFailVBFGF' : -1.0427,
},
'7TeV' : {
'Jets01PassPtG10' : 1.0101,
'Jets01FailPtG10' : 1.0571,
'Jet2CutsVBFPass' : -1.0489,
'Jet2CutsGFPass' : -1.0380,
'Jet2CutsFailVBFGF' : 1.0653,
},
},
'wh' : {
'8TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
'7TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
},
'zh' : {
'8TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
'7TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
},
}
self.UE = {
'gg' : {
'8TeV' : {
'Jets01PassPtG10' : -1.0618,
'Jets01FailPtG10' : 1.1698,
'Jet2CutsVBFPass' : 1.4228,
'Jet2CutsGFPass' : 1.2317,
'Jet2CutsFailVBFGF' : -1.0847,
},
'7TeV' : {
'Jets01PassPtG10' : -1.0658,
'Jets01FailPtG10' : 1.1715,
'Jet2CutsVBFPass' : 1.6606,
'Jet2CutsGFPass' : 1.2570,
'Jet2CutsFailVBFGF' : -1.0669,
},
},
'vbf' : {
'8TeV' : {
'Jets01PassPtG10' : -1.0309,
'Jets01FailPtG10' : -1.0794,
'Jet2CutsVBFPass' : -1.1030,
'Jet2CutsGFPass' : -1.0585,
'Jet2CutsFailVBFGF' : 1.0432,
},
'7TeV' : {
'Jets01PassPtG10' : -1.0515,
'Jets01FailPtG10' : 1.0953,
'Jet2CutsVBFPass' : -1.1421,
'Jet2CutsGFPass' : -1.1014,
'Jet2CutsFailVBFGF' : 1.0763,
},
},
'wh' : {
'8TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
'7TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
},
'zh' : {
'8TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
'7TeV' : {
'Jets01PassPtG10' : None,
'Jets01FailPtG10' : None,
'Jet2CutsVBFPass' : None,
'Jet2CutsGFPass' : None,
'Jet2CutsFailVBFGF' : None,
},
},
}
# The list of systematics to be applied
self._keys = ["xs_ggH","xs_vbfH","xs_whH","xs_zhH","br_Hmm","lumi","PDF","JES","JER","PUID","MCStat","PU","UE","QCDScale"]
# The list of systematics which are correlated between energies
self.keysEnergyCorr = ["xs_ggH","xs_vbfH","xs_whH","xs_zhH","br_Hmm","PDF","JER","UE","QCDScale"]
# The list of systematics which are not correlated between energies or categories
self.keysNotCatCorr = ["MCStat"]
# The list of systematics which are not correlated between energies, but correlated w/ categories
# (everything else)
self.keysNotEnergyCorr = []
for i in self._keys:
if not i in self.keysEnergyCorr and not i in self.keysNotCatCorr:
self.keysNotEnergyCorr.append(i)
def keys(self):
return self.data.keys() + self._keys
def __setitem__(self,key,value):
self.data[key] = value
def __call__(self,nu,ds,category,mass):
if nu in self.data:
if ds in self.data[nu]:
return self.data[nu][ds]
match = re.match(r"([a-z]+)Hmumu([\d.]+)_([\d]+TeV)",ds)
if not match:
return None
prodMode = match.group(1)
energy = match.group(3)
goodCorr = self.goodCorr
if re.match(r"^xs_.*",nu) and match:
result = None
if prodMode not in nu:
return None
if prodMode == "vbf":
result = self.vbf[energy].getLnN(mass)
elif prodMode == "gg":
result = self.gg[energy].getLnN(mass)
elif prodMode == "wh":
result = self.wh[energy].getLnN(mass)
elif prodMode == "zh":
result = self.zh[energy].getLnN(mass)
else:
raise Exception("Higgs Production mode not recognized for: "+ds)
return result
if nu == "br_Hmm" and match:
return self.br.getLnN(mass)
if nu == "lumi" and match:
return self.lumi[energy]
if nu == "PDF" and match:
category = self.getBaseCat(category)
return goodCorr(self.PDF[prodMode][energy][category])
if nu == "JES" and match:
category = self.getBaseCat(category)
return goodCorr(self.JES[prodMode][energy][category])
if nu == "JER" and match:
category = self.getBaseCat(category)
return goodCorr(self.JER[prodMode][energy][category])
if nu == "MCStat" and match:
category = self.getBaseCat(category)
return goodCorr(self.MCStat[prodMode][energy][category])
if nu == "PU" and match:
category = self.getBaseCat(category)
return goodCorr(self.PU[prodMode][energy][category])
if nu == "PUID" and match:
category = self.getBaseCat(category)
return goodCorr(self.PUID[prodMode][energy][category])
if nu == "QCDScale" and match:
category = self.getBaseCat(category)
return goodCorr(self.QCDScale[prodMode][energy][category])
if nu == "UE" and match:
category = self.getBaseCat(category)
return goodCorr(self.UE[prodMode][energy][category])
def getBaseCat(self,cat):
categoriesAllCCFF = ["BB","BO","BE","OO","OE","EE","CC","FF"]
for i in categoriesAllCCFF:
if cat[-2:] == i:
return cat[:-2]
return cat
def goodCorr(self,value):
if value == None or value > 0.:
return value
return 2.0 + value
#return abs(value)
nuisanceMap = NuisanceMap()
def getLegendEntry(ds):
return legendEntries[re.sub(r"_.*","",ds)]
def getColor(ds):
return colors[re.sub(r"_.*","",ds)]
def appendPeriod(l,period):
return [i+"_"+period for i in l]
def getPeriod(datasetName):
match = re.search(r"_(.*)",datasetName)
if match:
return match.group(1)
else:
return ""
##################################################
if __name__ == "__main__":
if scaleHiggsBy != 1:
print("**** Higgs XSEC Scaled by Factor of: {} ****".format(scaleHiggsBy))
print("Integrated Lumi for Datasets: [fb^-1]")
sortedXsec = xsec.keys()
sortedXsec.sort()
for i in sortedXsec:
print("{0:<15} {1:.3f}".format(i,nEventsMap[i]/xsec[i]/1000.))
print("xsec/nEvent Scale Factors for Datasets: [fb/event]")
for i in sortedXsec:
print("{0:<15} {1:.3g}".format(i,xsec[i]/nEventsMap[i]*1000.))