)
cache['fileset'] = fileset
cache['cfg'] = cfg
cache['histograms'] = histograms
cache['simple_output'] = output
cache.dump()
lines = ['entry']
lines += [
'filter',
'lepveto',
'trilep',
'p_T(lep0)>25',
'p_T(lep1)>20',
'trigger',
'offZ',
'MET>50',
'N_jet>2',
'N_central>1',
'N_btag>0',
'N_fwd>0',
]
from Tools.helpers import getCutFlowTable
df = getCutFlowTable(output,
processes=list(fileset.keys()),
lines=lines,
significantFigures=4,
signal='topW_v3')
'function_args': {
'flatten': False
},
"schema": NanoAODSchema,
}
exe = processor.futures_executor
output = processor.run_uproot_job(
fileset,
"Events",
systematicsAnalyzer(year=year,
variations=variations,
acumulator=desired_output),
exe,
exe_args,
chunksize=250000,
)
from Tools.helpers import getCutFlowTable
processes = ['tW_scattering', 'topW_v2']
lines = ['entry']
lines += [
'lepveto', 'dilep', 'trigger', 'filter', 'p_T(lep0)>25',
'p_T(lep1)>20', 'OS', 'N_btag=2', 'N_jet>2', 'N_fwd>0', 'MET>30'
]
df = getCutFlowTable(output,
processes=processes,
lines=lines,
significantFigures=4)
'TTW': fileset_2018['TTW'],
'TTX': fileset_2018['TTXnoW'],
}
exe_args = {
'workers': 16,
'function_args': {'flatten': False},
"schema": NanoAODSchema,
}
exe = processor.futures_executor
output = processor.run_uproot_job(
fileset,
"Events",
strong_tW(year=year, variations=variations, accumulator=desired_output),
exe,
exe_args,
chunksize=250000,
)
from Tools.helpers import getCutFlowTable
processes = ['topW_v2', 'TTW', 'TTX']
lines = ['entry']
lines += ['lepveto', 'dilep', 'filter', 'p_T(lep0)>25', 'p_T(lep1)>20', 'SS']
lines += ['N_jet>3', 'N_central>2', 'N_btag>0', 'lead_lep', 'mll', 'MET>50', 'eta_fwd', 'delta_eta', 'ST']
df = getCutFlowTable(output, processes=processes, lines=lines, significantFigures=4, signal='topW_v2')