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)