''' Plot script WC parameter LogLikelihood
'''
from TTZRun2EFT.Tools.genCutInterpreter import cutInterpreter
from Analysis.Tools.WeightInfo import WeightInfo
from TTZRun2EFT.Samples.genTuples_TTZ_postProcessed import *
genSignalSample = ttZ_ll_LO_order2_15weights_ref
#genSignalSample = ttZ_ll_LO_order3_8weights
genSignalSample.setWeightString("ref_lumiweight1fb")
w = WeightInfo(genSignalSample.reweight_pkl)
w.set_order(2)
kwargsList = [
{
"cpt": 0,
"cpQM": 0,
"res": 0.07082
},
{
"cpt": -24.5,
"cpQM": -8,
"res": 0.1497
},
{
"cpt": -24.5,
"cpQM": 4,
"res": 0.1093
},
{
elif args.year == 2017:
import TTGammaEFT.Samples.nanoTuples_Fall17_private_semilep_postProcessed as mc_samples
if not args.noData:
from TTGammaEFT.Samples.nanoTuples_Run2017_14Dec2018_semilep_postProcessed import Run2017 as data_sample
elif args.year == 2018:
import TTGammaEFT.Samples.nanoTuples_Autumn18_private_semilep_postProcessed as mc_samples
if not args.noData:
from TTGammaEFT.Samples.nanoTuples_Run2018_14Dec2018_semilep_postProcessed import Run2018 as data_sample
# define some colors
colors = [ROOT.kRed + 1, ROOT.kGreen - 2, ROOT.kOrange + 1, ROOT.kAzure + 4]
#settings for eft reweighting
w = WeightInfo(eftSample.reweight_pkl)
w.set_order(args.order)
variables = w.variables
#Histograms
def get_weight_string(parameters):
return w.get_weight_string(**parameters)
selection = cutInterpreter.cutString(args.selection + "-" + args.mode)
smweightstring = smweightString = get_weight_string({})
Histo = eftSample.get1DHistoFromDraw("GenPhotonCMSUnfold0_pt",
binning=[20, 20, 400],
selectionString=selection,
weightString=smweightString,
"mllgamma/F",
]
read_variables += ["GenBj0_" + var for var in genJetVarString.split(",")]
read_variables += ["GenBj1_" + var for var in genJetVarString.split(",")]
read_variables_EFT = [
"ref_weight/F",
VectorTreeVariable.fromString('p[C/F]', nMax=100)
]
# Sequence
sequence = []
w = WeightInfo(signalSample.reweight_pkl)
w.set_order(int(args.order))
variables = w.variables
lumi_scale = 136.6
signals = []
# Sample definition
for i, param in enumerate(params):
sample = copy.deepcopy(signalSample)
sample.params = param
if param["legendText"] == "SM":
sample.style = styles.lineStyle(param["color"], width=3)
else:
sample.style = styles.lineStyle(param["color"], width=2, dashed=True)
sample.texName = param["legendText"]
sample.weight = get_reweight(param, sample)
