'vbf': 1.0,
'wzh': 1.0,
'wh': 1.0,
'zh': 1.0,
'tth': 1.0,
}
#### ROOT.gROOT.ProcessLine(".L Normalization_7TeV.C++")
### ROOT.gROOT.ProcessLine(".L Normalization_8TeV.C++")
### from ROOT import GetBR
### from ROOT import GetXsection
### GetProcXsection = GetXsection
ROOT.gSystem.Load("../libLoopAll")
from ROOT import Normalization_8TeV
norm = Normalization_8TeV()
GetBR = lambda x: norm.GetBR(float(x))
GetXsection = lambda x: norm.GetXsection(float(x))
GetProcXsection = lambda x, y: norm.GetXsection(x, y)
# ROOT Setup
ROOT.gROOT.SetStyle("Plain")
ROOT.gROOT.SetBatch(1)
# Global Setup, Modify with each Reload
##### NCAT = 5
##### lumi = 5089
#lumi=3770
#systematics = ["vtxEff","idEff","E_scale","E_res","triggerEff","regSig","phoIdMva"] # These are the main contributions to eff*Acc
systematics = ["vtxEff", "idEff", "E_scale", "E_res",
"triggerEff"] # These are the main contributions to eff*Acc
mass = ws.var("CMS_hgg_mass")
for name in procs:
#print " LOOKING FOR dataset %s%s"%(name,suffix)
#ws.data(name+suffix).Print()
print "name+suffix", name+suffix
ws.data(name+suffix).Print()
slurpDic = { name : ws.data(name+suffix) for name in procs}
# filter out histos that are null pointers
return { k : v for k, v in slurpDic.iteritems() if v }
r.gSystem.Load("Signal/lib/libSimultaneousSignalFit.so")
r.gSystem.Load("libHiggsAnalysisCombinedLimit")
from ROOT import Normalization_8TeV
norm = Normalization_8TeV() # Should be checking if 7TeV or 8TeV signal, default is 13TeV
GetBR = lambda x : norm.GetBR(float(x))
GetXsection = lambda x : norm.GetXsection(float(x))
GetProcXsection = lambda x,y : norm.GetXsection(x,y)
r.gROOT.SetBatch(1)
# Global Setup, Modify with each Reload
systematics = ["TriggerWeight","MvaShift","MCScaleLowR9EB","MCScaleHighR9EB","MCScaleLowR9EE","MCScaleHighR9EE","MCSmearLowR9EBRho","MCSmearHighR9EBRho","MCSmearLowR9EERho","MCSmearHighR9EERho","MCSmearLowR9EBPhi","MCSmearHighR9EBPhi","MCSmearLowR9EEPhi","MCSmearHighR9EEPhi","FracRVWeight"] # These are the main contributions to eff*Acc
#systematics = ["TriggerWeight"] # These are the main contributions to eff*Acc
#systematics = ["FracRVWeight"] # These are the main contributions to eff*Acc
Masses = range(120,135,5)
#Masses = [125]
#Masses = range(120)
# -------------------------------------------------------------