def fn(input_name, isData, full_path):
a = analysis('graph', ak=True, ak8=True, puppiJets=True)
a.inpath = input_name
a.outpath = utils.input_to_output(input_name)
a.datapath = data_dir
a.isData = isData
utils.set_year(a, 2016)
skimmer = root.pa.CTAnalyzer(a)
return utils.run_Analyzer(skimmer, isData, a.outpath)
def fn(input_name, isData, full_path):
a = analysis('graph', ak=True, ak8=True, puppiJets=True)
a.inpath = input_name
a.outpath = utils.input_to_output(input_name)
a.datapath = data_dir
a.isData = isData
utils.set_year(a, 2016)
a.processType = utils.classify_sample(full_path, isData)
skimmer = root.pa.JGAnalyzer(a)
return utils.run_PandaAnalyzer(skimmer, isData, a.outpath)
def fn(input_name, isData, full_path):
a = analysis('jes', varyJES=True, rerunJES=True)
a.inpath = input_name
a.outpath = utils.input_to_output(input_name)
a.datapath = data_dir
a.isData = isData
utils.set_year(a, 2016)
a.processType = utils.classify_sample(full_path, isData)
skimmer = root.pa.PandaAnalyzer(a)
return utils.run_PandaAnalyzer(skimmer, isData, a.outpath)
def fn(input_name, isData, full_path):
a = monotop(True)
a.inpath = input_name
a.outpath = utils.input_to_output(input_name)
a.datapath = data_dir
a.isData = isData
utils.set_year(a, 2016)
a.processType = utils.classify_sample(full_path, isData)
skimmer = root.pa.PandaAnalyzer(a)
skimmer.AddPresel(root.pa.RecoilSel())
return utils.run_PandaAnalyzer(skimmer, isData, a.outpath)
def fn(input_name, isData, full_path):
logger.info(sname + '.fn', 'Starting to process ' + input_name)
# now we instantiate and configure the analyzer
a = analysis("l1", verbose=False)
a.inpath = input_name
a.outpath = utils.input_to_output(input_name)
a.datapath = data_dir
a.isData = isData
utils.set_year(a, 2016)
skimmer = root.pa.L1Analyzer(a)
return utils.run_Analyzer(skimmer, isData, a.outpath)
def fn(input_name, isData, full_path):
logger.info(sname + '.fn', 'Starting to process ' + input_name)
# now we instantiate and configure the analyzer
a = breg()
a.inpath = input_name
a.outpath = utils.input_to_output(input_name)
a.datapath = data_dir
a.isData = isData
utils.set_year(a, 2017)
a.processType = utils.classify_sample(full_path, isData)
skimmer = root.pa.PandaAnalyzer(a)
return utils.run_PandaAnalyzer(skimmer, isData, a.outpath)
def fn(input_name, isData, full_path):
# now we instantiate and configure the analyzer
a = monotop()
a.inpath = input_name
a.outpath = utils.input_to_output(input_name)
a.datapath = data_dir
a.isData = isData
utils.set_year(a, 2016)
a.processType = utils.classify_sample(full_path, isData)
skimmer = root.pa.PandaAnalyzer(a)
skimmer.AddPresel(root.pa.MonotopSel())
return utils.run_PandaAnalyzer(skimmer, isData, a.outpath)
def fn(input_name, isData, full_path):
a = analysis('substructure',
recalcECF=False,
reclusterFJ=True,
ak=False)
a.inpath = input_name
a.outpath = utils.input_to_output(input_name)
a.datapath = data_dir
a.isData = isData
utils.set_year(a, 2016)
a.processType = utils.classify_sample(full_path, isData)
skimmer = root.pa.HRAnalyzer(a)
return utils.run_HRAnalyzer(skimmer, isData, a.outpath)
def fn(input_name, isData, full_path):
a = wlnhbb(True)
a.inpath = input_name
a.outpath = utils.input_to_output(input_name)
a.datapath = data_dir
a.isData = isData
utils.set_year(a, 2017)
a.processType = utils.classify_sample(full_path, isData)
if a.processType in {root.pa.kTT, root.pa.kH}:
a.reclusterGen = True # only turn on if necessary
skimmer = root.pa.PandaAnalyzer(a)
skimmer.AddPresel(root.pa.VHbbSel())
skimmer.AddPresel(root.pa.TriggerSel())
return utils.run_PandaAnalyzer(skimmer, isData, a.outpath)
def fn(input_name, isData, full_path):
logger.info(sname + '.fn', 'Starting to process ' + input_name)
# now we instantiate and configure the analyzer
a = wlnhbb2017(True)
a.inpath = input_name
a.outpath = utils.input_to_output(input_name)
a.datapath = data_dir
a.isData = isData
utils.set_year(a, 2017)
a.processType = utils.classify_sample(full_path, isData)
if a.processType in {root.pa.kTT, root.pa.kH}:
a.reclusterGen = True # only turn on if necessary
skimmer = root.pa.PandaAnalyzer(a)
skimmer.AddPresel(root.pa.VHbbSel())
skimmer.AddPresel(root.pa.TriggerSel())
return utils.run_PandaAnalyzer(skimmer, isData, a.outpath)
