def initialize(self,config_name):
"""
Initialize the selection (before looping the events)
@param config_name Name of the configuration to use (e.g., 'miniSL')
"""
self.cfg_name = config_name
logging.getLogger('share/{0}.log'.format(self.cfg_name))
self.loggingLEVEL = logging.getLogger().getEffectiveLevel() # DEBUG, INFO, ERROR, etc.
logging.info("")
logging.critical(" -- In file 'SelectionBase.py'\n")
logging.info(" ------------ ")
parser_cutsfile_name = self.parser.get(self.cfg_name,'cutsfile') # default
if not self.cutsfile:
self.cutsfile = parser_cutsfile_name
self.cuts = config.processCuts(self.cutsfile)
## We only need to load the cuts files once
## (the cuts don't change from event-to-event!)
self.object_level_cuts = ObjectCuts(self.parser,self.cuts)
self.event_level_cuts = EventCuts(self.parser,self.cuts)
self.build_custom_objects = (self.parser.get(self.cfg_name,'new_objects'))
self.btag_WP = info.btagging_WP(self.parser.get(self.cfg_name,'btag_wkpt'))
return
class SelectionBase(object):
"""
Class for applying a custom selection on an existing set of ntuples.
This is meant to be the base class that applies cuts on our objects and
event-level quantities in a modular way. You can use this file with different
cuts files, or inherit from it to build your own selection.
"""
def __init__(self,cfg_file,_cutsfile=''):
"""
Initialize the class.
@param cfg_file configuration file
@param _cutsfile cuts file to use for selection (empty by default)
"""
self.parser = cfg_file # settings
self.cutsfile = _cutsfile # to pass a different cuts file (e.g., from pyDataMC)
self.build_lepton = lepBase # setup the lepton
self.build_met = metBase # setup the MET
self.build_nu = nuBase # setup the neutrino
self.build_jets = jetBase # setup the jets
self.build_tjets = tjetBase # setup the track jets
self.build_ljets = fjBase # setup the Fat Jets
return
#----------------------------------------------------------------------------------------#
def initialize(self,config_name):
"""
Initialize the selection (before looping the events)
@param config_name Name of the configuration to use (e.g., 'miniSL')
"""
self.cfg_name = config_name
logging.getLogger('share/{0}.log'.format(self.cfg_name))
self.loggingLEVEL = logging.getLogger().getEffectiveLevel() # DEBUG, INFO, ERROR, etc.
logging.info("")
logging.critical(" -- In file 'SelectionBase.py'\n")
logging.info(" ------------ ")
parser_cutsfile_name = self.parser.get(self.cfg_name,'cutsfile') # default
if not self.cutsfile:
self.cutsfile = parser_cutsfile_name
self.cuts = config.processCuts(self.cutsfile)
## We only need to load the cuts files once
## (the cuts don't change from event-to-event!)
self.object_level_cuts = ObjectCuts(self.parser,self.cuts)
self.event_level_cuts = EventCuts(self.parser,self.cuts)
self.build_custom_objects = (self.parser.get(self.cfg_name,'new_objects'))
self.btag_WP = info.btagging_WP(self.parser.get(self.cfg_name,'btag_wkpt'))
return
#----------------------------------------------------------------------------------------#
def execute(self,T,F):
"""
Function to setup each file.
@param T Root Ttree
@param f Root file object (not just the string)
"""
self.t = T # root ttree
self.file = F # root file (not used...)
return
#----------------------------------------------------------------------------------------#
def event_loop(self,Entry):
"""Running the event selection for a single event."""
self.entry = Entry
self.t.GetEntry(self.entry)
if not self.entry%1000:
print " -> Entry {0}".format(self.entry)
## Initialize these in case stuff fails we can return empty values
passedSelection = False
savedEventVariables = {'fatjets': [],\
'rcjets': [],\
'resjets': [],\
'bjets': [],\
'jets': [],\
'lepton': False,\
'nu': False,\
'MET': 0,\
'HT': 0,\
'MC': {},\
'eventinfo': {}}
# ---------------- #
# Physics Objects #
# ---------------- #
self.initializeObjects()
# ---------------- #
# Cuts #
# ---------------- #
## Cutting on truth objects? DeltaR matching?
if any('truth' in i for i in self.cuts):
truth_objs = truthBase(self.t)
for truth_obj in truth_objs.keys():
self.objects[truth_obj] = truth_objs[truth_obj]
## -- cuts on objects
c_objlevel = self.objectLevelCuts() # function below
if not c_objlevel['result']:
return {'objects':savedEventVariables,'result':passedSelection}
self.objects = c_objlevel['objects'] # update our dictionary of objects
## -- cuts on event-level quantities (HT, DeltaR(x,y), etc.)
c_evtlevel = self.eventLevelCuts() # function below
if not c_evtlevel['result']:
return {'objects':savedEventVariables,'result':passedSelection}
self.objects = c_evtlevel['objects']
## -- record HT if it hasn't been saved or used
if not self.objects.get('ht'):
self.objects['ht'] = vlq.calcHT(self.objects)
# ---------------- #
# Event Info #
# ---------------- #
signal_dsids = info.dsids()['signal']['TTS'].keys()
ttbar_dsids = info.dsids()['background']['ttbar'].keys()
if self.t.mcChannelNumber in signal_dsids+ttbar_dsids:
# setup the truth (after cuts and only for signal & ttbar)
self.MC = truthBase(self.t)
else:
self.MC = {}
boostedEvent = (len(self.objects['fatjets'])>0)
resolvedEvent = (not boostedEvent)
eventInfo = {'mcWeight': self.t.weight_mc,\
'pileupWeight': self.t.weight_pileup,\
'eventNumber': self.t.eventNumber,\
'runNumber': self.t.runNumber,\
'mcChannelNumber': self.t.mcChannelNumber,\
'mu': self.t.mu,\
'weight_btag_track_70': self.t.weight_btag_track_70,\
'weight_btag_60': self.t.weight_btag_60,\
'weight_btag_70': self.t.weight_btag_70,\
'weight_btag_77': self.t.weight_btag_77,\
'weight_btag_85': self.t.weight_btag_85,\
'weight_lep_eff': self.t.weight_lept_eff,\
'nAMI': self.t.AMI,\
'isBoosted': boostedEvent,\
'isResolved': resolvedEvent,\
'mujets': self.t.mujets,\
'ejets': self.t.ejets,\
'nbtags': self.t.btags_n,\
'KFactor': self.t.KFactor,\
'XSection': self.t.XSection,\
'vlq_tag': self.t.vlq_evtype,\
'FilterEff': self.t.FilterEff}
# ------------------------------------------------------------- #
# Log the results for inspection later #
# ------------------------------------------------------------- #
if self.loggingLEVEL >= 20:
self.logResults()
# ------------------------------------------------------------- #
# Return the results to miniSL.py #
# ------------------------------------------------------------- #
passedSelection = True
savedEventVariables = {'fatjets': self.objects['fatjets'],\
'rcjets': self.objects['rcjets'],\
'resjets': self.objects['resjets'],\
'lepton': self.objects['lepton'],\
'nu': self.objects['nu'],\
'jets': self.objects['jets'],\
'tjets': self.objects['tjets'],\
'met': self.objects['met'],\
'HT': self.objects['ht'],\
'MC': self.MC,\
'eventinfo': eventInfo}
## Analysis-specific custom object :: need to remove this hard-coding...
if self.objects.get('TTbar'):
savedEventVariables['TTbar'] = self.objects['TTbar']
else:
savedEventVariables['TTbar'] = []
return {'objects':savedEventVariables,'result':passedSelection}
#----------------------------------------------------------------------------------------#
def initializeObjects(self):
"""
One function to group other function calls to setup the physics objects.
The truth information is called at the end of the event (to make sure
that all of the cuts were passed, first.)
Physics Objects (or 'Reconstructed Objets') in the analysis:
- Lepton
- MET (Neutrino)
- small-radius jets
:: light jets (can be used to form 'resolved' W candidate)
:: b-jets (category for the two jets with highest mv2c20 weights)
- large-radius jets
:: nominal large-R jets
:: re-clustered large-R jets (not the default)
"""
lep = self.build_lepton(self.t) # setup the lepton
met = self.build_met(self.t) # setup the MET
nu = self.build_nu(self.t) # setup the neutrino
jets = self.build_jets(self.t) # setup the jets
tjets = self.build_tjets(self.t) # setup the track jets
fatjets = self.build_ljets(self.t) # setup the Fat Jets
rcjets = [] #rcBase(self.t) # setup the re-clustered jets NOT THIS RELEASE
resjets = [] #resBase(jets) # setup the resolved jets NOT ANYMORE
num_btags = len([q for q in jets if q.mv2c20>self.btag_WP])
jets.sort( key=lambda x: x.Pt(), reverse=True) # [0] has the highest pT
fatjets.sort(key=lambda x: x.Pt(), reverse=True)
#rcjets.sort( key=lambda x: x.Pt(), reverse=True) # no RC jets in this production
resjets.sort(key=lambda x: x.Pt(), reverse=True)
tjets.sort( key=lambda x: x.Pt(), reverse=True)
self.objects = {'lepton': lep,\
'met': met,\
'nu': nu,\
'jets': jets,\
'fatjets':fatjets,\
'rcjets': rcjets,\
'resjets':resjets,\
'tjets': tjets,\
'nbtags': num_btags}
self.objects['vlq_evtype'] = -1 if self.t.mcChannelNumber<=0 else self.t.vlq_evtype
if self.build_custom_objects:
self.custom_objects()
# build TTbar
return
#----------------------------------------------------------------------------------------#
def objectLevelCuts(self):
"""
Apply cuts to the physics objects in the event.
Pass the dict of objects and dict of cuts to ObjectCuts.
"""
obj_level_cuts = self.object_level_cuts.applyCuts(self.objects)
# object_level_cuts looks like: {'result':True/False,'objects':objects}
# in case the objects were redefined (e.g., less fat jets after cuts)
return obj_level_cuts
#----------------------------------------------------------------------------------------#
def eventLevelCuts(self):
"""Apply cuts to the event-level quantities.
Pass the dict of objects and dict of cuts to EventCuts.
"""
evt_level_cuts = self.event_level_cuts.applyCuts(self.objects)
# evt_level_cuts looks like: return {'result':True/False,'objects':objects}
# for things that were removed
return evt_level_cuts
#----------------------------------------------------------------------------------------#
def custom_objects(self):
"""
Generate custom objects for the analysis.
Assumes that the class you've written has the same name as the file, just
capitalized, e.g., file: 'customObjectsBase.py' & class: 'CustomObjectsBase'.
"""
cfg_new_objects = self.parser.get(self.cfg_name,'new_objects').split()
obj_file = cfg_new_objects[0]
if len(cfg_new_objects)>1:
new_objects = cfg_new_objects[1]
# new objects separated by commas
else:
new_objects = 'custom'
obj_path,obj_filename = obj_file.split('/')
obj_filename = obj_filename.split('.')[0]
obj_classname = obj_filename[0].upper()+obj_filename[1:]
# import the class that defines and makes your custom object(s)
pyObjectsFile = importlib.import_module(obj_path+"."+obj_filename)
pyObjects = getattr(pyObjectsFile,obj_classname)
for new_object in new_objects.split(','):
if '(' in new_object:
# the ttree name is different from the object's name
new_object,ttree_object = config.parentheses(new_object)
else:
# the ttree name is the same as the object's name
ttree_object = new_object
newObjects = pyObjects(new_object)
newObjects.ttree_name = ttree_object
self.objects = newObjects.getObject(event_objects=self.objects,ttree=self.t)
# return the objects because we have added a new one,
# and may have modified others
return
#----------------------------------------------------------------------------------------#
def PrintCutflow(self):
"""Print the cutflow."""
return
#----------------------------------------------------------------------------------------#
def logResults(self):
logging.info(" ------------------- \n")
logging.info(" ++ Event {0} Summary ++ \n".format(self.entry))
objects_keys = self.objects.keys()
if self.objects.get('fatjets'):
for Wcand in self.objects['fatjets']:
logging.info("\n BOOSTED ")
logging.info(" - Hadronic W : pT = {0}".format(Wcand.Pt()))
logging.info(" : M = {0}".format(Wcand.M()))
logging.info(" : eta = {0}".format(Wcand.Eta()))
logging.info(" : phi = {0}".format(Wcand.Phi()))
if self.objects.get('resjets'):
for rWcand in self.objects['resjets']:
logging.info("\n RESOLVED ")
logging.info(" - Hadronic W : pT = {0}".format(rWcand.Pt()))
logging.info(" : M = {0}".format(rWcand.M()))
logging.info(" : eta = {0}".format(rWcand.Eta()))
logging.info(" : phi = {0}".format(rWcand.Phi()))
if self.objects.get('rcjets'):
for rcjet in self.objects['rcjets']:
logging.info(" - Re-clustered Jet W {0}: pT = {1}".format(1,rcjet.Pt()))
logging.info(" : M = {0}".format(rcjet.M()))
logging.info(" : eta = {0}".format(rcjet.Eta()))
logging.info(" : phi = {0}".format(rcjet.Phi()))
if self.objects.get('bjets'):
for i,bjet in enumerate(self.objects['bjets']):
logging.info(" - b-jet {0} : pT = {1}".format(i+1,bjet.Pt()))
logging.info(" : M = {0}".format(bjet.M()))
logging.info(" : eta = {0}".format(bjet.Eta()))
logging.info(" : phi = {0}".format(bjet.Phi()))
logging.info(" : Mv2c20 = {0}".format(bjet.mv2c20))
if self.objects.get('lepton'):
logging.info(" - Lepton : pT = {0}".format(self.objects['lepton'].Pt()))
logging.info(" : E = {0}".format(self.objects['lepton'].E()))
logging.info(" : eta = {0}".format(self.objects['lepton'].Eta()))
logging.info(" : phi = {0}\n".format(self.objects['lepton'].Phi()))
if self.objects.get('nu'):
logging.info(" - Neutrino : phi = {0}".format(self.objects['nu'].Phi()))
logging.info(" : eta = {0}".format(self.objects['nu'].Eta()))
logging.info(" : pT = {0}".format(self.objects['nu'].Pt()))
logging.info(" : E = {0}\n".format(self.objects['nu'].E()))
if self.objects.get('met'):
logging.info(" - MET : met = {0}".format(self.objects['met'].met))
logging.info(" : phi = {0}".format(self.objects['met'].phi))
logging.info(" : mtw = {0}\n".format(self.objects['met'].mtw))
if self.objects.get('ht'):
logging.info(" - HT : HT = {0}\n".format(self.objects['ht']))
try:
logging.info(" - Event Info : mcWeight = {0}".format(self.t.weight_mc))
logging.info(" : pileupWeight = {0}".format(self.t.weight_pileup))
logging.info(" : AMI = {0}\n".format(self.t.AMI))
except AttributeError:
logging.info(" - Event Info : mcWeight = 1.0")
logging.info(" : pileupWeight = 1.0")
logging.info(" : AMI = Not readily available\n")
logging.info(" : eventNumber = {0}".format(self.t.eventNumber))
logging.info(" : runNumber = {0}".format(self.t.runNumber))
logging.info(" : mcChannelNumber = {0}".format(self.t.mcChannelNumber))
logging.info(" : mu = {0}".format(self.t.mu))
return
