)
args = parser.parse_args()
cuts_jet_tag = [
("%dj%dt"%(n,m), Cuts.n_jets(n)*Cuts.n_tags(m)) for n in [2,3] for m in [0,1,2]
]
# cuts_jet_tag = [
# ("2j1t", Cuts.n_jets(2)*Cuts.n_tags(1))
# ]
cuts = []
for cutname, cbline in cuts_jet_tag:
for lep in ["mu", "ele"]:
cn = "%s_%s" % (lep, cutname)
baseline = Cuts.lepton(lep) * Cuts.hlt(lep) * Cuts.metmt(lep) * Cuts.rms_lj
cuts += [
#Without the MET cut
("%s_nomet" % cn, Cuts.lepton(lep) * Cuts.hlt(lep) * Cuts.rms_lj * cbline),
#Baseline for fit
("%s_baseline" % cn, baseline * cbline),
#Cut-based check
("%s_cutbased_final" % cn,
baseline * cbline * Cuts.top_mass_sig * Cuts.eta_lj
),
#MVA-based selection
("%s_mva_loose" % cn,
baseline * cbline * Cuts.mva_wp(lep)
for fi in sys.argv[1:]:
print fi
samp = Sample.fromFile(fi)
print "Lumi scale factor: ", samp.lumiScaleFactor(20000)
for lep in ["mu", "ele"]:
if "/%s/"%lep not in fi:
continue
print lep
cut = None
for cutname, _cut in [
("hlt", Cuts.hlt(lep)),
("lep", Cuts.single_lepton(lep)),
("2J", Cuts.n_jets(2)),
("1T", Cuts.n_tags(1)),
("MET/MtW", Cuts.metmt(lep)),
("rms", Cuts.rms_lj),
("Mtop", Cuts.top_mass_sig),
("etalj", Cuts.eta_lj)
]:
if not cut:
cut = _cut
else:
cut *= _cut
try:
hi = samp.drawHistogram("eta_lj", str(cut), binning=[50, -5, 5])
hi.Scale(samp.lumiScaleFactor(20000))
print cutname
print hi.GetEntries(), hi.Integral()
except:
print "-1 -1"
