def __init__(self,
datatype,
year,
pt_thresh=20*GeV,
eta_max=4.5,
**kwargs):
super(JetCleaning, self).__init__(**kwargs)
self.year = year
self.datatype = datatype
self.pt_thresh = pt_thresh
self.eta_max = eta_max
from ROOT import JetCleaningTool
self.tool = JetCleaningTool(JetCleaningTool.LooseBad)
def __init__(self,
datatype,
year,
# level=jetcleaning.LOOSER,
pt_thresh=20*GeV,
eta_max=4.5,
**kwargs):
super(JetCleaningxAOD, self).__init__(**kwargs)
self.year = year
self.datatype = datatype
# self.level = level
self.pt_thresh = pt_thresh
self.eta_max = eta_max
from ROOT import JetCleaningTool
self.tool = JetCleaningTool(JetCleaningTool.LooseBad)
class JetCleaningxAOD(EventFilter):
BAD_TILE = [
202660, 202668, 202712, 202740, 202965, 202987, 202991, 203027, 203169
]
def __init__(self,
datatype,
year,
# level=jetcleaning.LOOSER,
pt_thresh=20*GeV,
eta_max=4.5,
**kwargs):
super(JetCleaningxAOD, self).__init__(**kwargs)
self.year = year
self.datatype = datatype
# self.level = level
self.pt_thresh = pt_thresh
self.eta_max = eta_max
from ROOT import JetCleaningTool
self.tool = JetCleaningTool(JetCleaningTool.LooseBad)
def passes(self, event):
# using LC jets
for jet in event.jets:
if jet.pt() <= self.pt_thresh or abs(jet.eta()) >= self.eta_max:
continue
isbadloose = self.tool.accept(jet)
if isbadloose == True:
log.info('bad jet !')
return False
if (self.datatype in (datasets.DATA, datasets.EMBED)) and self.year == 2012:
# https://twiki.cern.ch/twiki/bin/viewauth/AtlasProtected/HowToCleanJets2012
# Hot Tile calorimeter in period B1 and B2
if event.EventInfo.runNumber() in JetCleaning.BAD_TILE:
# recommendation is to use EM jets
for jet in event.jets_EM:
_etaphi28 = (
-0.2 < jet.eta() < -0.1 and
2.65 < jet.phi() < 2.75)
FracSamplingMax = jet.auxdataConst('float')('FracSamplingMax')
SamplingMax = jet.auxdataConst('int')('FracSamplingMaxIndex')
if FracSamplingMax > 0.6 and SamplingMax == 13 and _etaphi28:
return False
return True
