def make_exo_postprocessor(analysis_name,
plot_types=[
"TurnOn1", "TurnOn2", "TurnOn3", "TurnOn4",
"EffEta", "EffPhi", "EffDxy"
],
object_types=[
"Mu", "refittedStandAloneMuons", "Track", "Ele",
"Photon", "PFTau", "PFJet", "MET", "PFMET",
"PFMHT", "GenMET", "CaloJet", "CaloMET",
"CaloMHT"
],
extra_str_templates=[]):
postprocessor = hltExoticaPostProcessor.clone()
postprocessor.subDirs = ["HLT/Exotica/" + analysis_name]
efficiency_strings = [
] # List of plots to look for. This is quite a bit larger than the number of plots that will be made.
# Higgs and SMP postprocessors use this string, but exo does not, for now.
#efficiency_summary_string = "EffSummaryPaths_" + analysis_name + "_gen ' Efficiency of paths used in " + analysis_name + " ; trigger path ' SummaryPaths_" + analysis_name + "_gen_passingHLT SummaryPaths_" + analysis_name + "_gen"
#efficiency_strings.append(efficiency_summary_string)
#efficiency_strings.append(efficiency_summary_string.replace("Generated", "Reconstructed").replace("Gen", "Reco").replace("gen", "rec"))
for plot_type in plot_types:
for object_type in object_types:
for trigger in [
x.replace("_v", "") for x in _config.__getattribute__(
analysis_name).hltPathsToCheck
]:
this_efficiency_string = make_efficiency_string(
object_type, plot_type, trigger)
efficiency_strings.append(this_efficiency_string)
efficiency_strings.append(
this_efficiency_string.replace(
"Generated",
"Reconstructed").replace("Gen",
"Reco").replace("gen", "rec"))
for str_template in extra_str_templates:
this_extra_string = str_template.replace(
"@ANALYSIS@",
analysis_name).replace("@TRIGGER@", trigger)
efficiency_strings.append(this_extra_string)
efficiency_strings.append(
this_extra_stringreplace("Generated",
"Reconstructed").replace(
"Gen", "Reco").replace(
"gen", "rec"))
postprocessor.efficiencyProfile = efficiency_strings
return postprocessor
def make_exo_postprocessor(analysis_name, plot_types=["TurnOn1", "TurnOn2", "TurnOn3", "TurnOn4", "EffEta", "EffPhi", "EffDxy"], object_types=["Mu","refittedStandAloneMuons","Track","Ele","Photon","PFTau","PFJet","MET","PFMET","PFMHT","GenMET","CaloJet","CaloMET","CaloMHT","l1MET"], extra_str_templates=[]):
postprocessor = hltExoticaPostProcessor.clone()
postprocessor.subDirs = ["HLT/Exotica/" + analysis_name]
efficiency_strings = [] # List of plots to look for. This is quite a bit larger than the number of plots that will be made.
# Higgs and SMP postprocessors use this string, but exo does not, for now.
#efficiency_summary_string = "EffSummaryPaths_" + analysis_name + "_gen ' Efficiency of paths used in " + analysis_name + " ; trigger path ' SummaryPaths_" + analysis_name + "_gen_passingHLT SummaryPaths_" + analysis_name + "_gen"
#efficiency_strings.append(efficiency_summary_string)
#efficiency_strings.append(efficiency_summary_string.replace("Generated", "Reconstructed").replace("Gen", "Reco").replace("gen", "rec"))
for plot_type in plot_types:
for object_type in object_types:
for trigger in [x.replace("_v", "") for x in _config.__getattribute__(analysis_name).hltPathsToCheck]:
this_efficiency_string = make_efficiency_string(object_type, plot_type, trigger)
efficiency_strings.append(this_efficiency_string)
efficiency_strings.append(this_efficiency_string.replace("Generated", "Reconstructed").replace("Gen", "Reco").replace("gen", "rec"))
for str_template in extra_str_templates:
this_extra_string = str_template.replace("@ANALYSIS@", analysis_name).replace("@TRIGGER@", trigger)
efficiency_strings.append(this_extra_string)
efficiency_strings.append(this_extra_stringreplace("Generated", "Reconstructed").replace("Gen", "Reco").replace("gen", "rec"))
postprocessor.efficiencyProfile = efficiency_strings
return postprocessor
plot_types = ["TurnOn1", "TurnOn2", "TurnOn3", "EffEta", "EffPhi"]
#--- IMPORTANT: Update this collection whenever you introduce a new object
# in the code (from EVTColContainer::getTypeString)
obj_types = ["Mu", "Ele", "Photon", "PFTau", "PFJet", "MET"]
#--- IMPORTANT: Trigger are extracted from the hltExoticaValidator_cfi.py module
triggers = []
efficiency_strings = []
# Extract the triggers used in the hltExoticaValidator, for each path
from HLTriggerOffline.Exotica.hltExoticaValidator_cfi import hltExoticaValidator as _config
triggers = set([])
for an in _config.analysis:
s = _config.__getattribute__(an)
vstr = s.__getattribute__("hltPathsToCheck")
map(lambda x: triggers.add(x.replace("_v", "")), vstr)
triggers = list(triggers)
print triggers
#------------------------------------------------------------
# Generating the list with all the efficiencies
for type in plot_types:
for obj in obj_types:
for trig in triggers:
efficiency_strings.append(efficiency_string(obj, type, trig))
#for item in efficiency_strings:
# print item
add_reco_strings(efficiency_strings)
plot_types = ["TurnOn1", "TurnOn2", "TurnOn3", "TurnOn4", "EffEta", "EffPhi", "EffDxy"]
#--- IMPORTANT: Update this collection whenever you introduce a new object
# in the code (from EVTColContainer::getTypeString)
obj_types = ["Mu","refittedStandAloneMuons","Track","Ele","Photon","PFTau","PFJet","MET","PFMET","PFMHT","GenMET","CaloJet"
,"CaloMET","l1MET"]
#--- IMPORTANT: Trigger are extracted from the hltExoticaValidator_cfi.py module
triggers = [ ]
efficiency_strings = []
# Extract the triggers used in the hltExoticaValidator, for each path
from HLTriggerOffline.Exotica.hltExoticaValidator_cfi import hltExoticaValidator as _config
triggers = set([])
for an in _config.analysis:
s = _config.__getattribute__(an)
vstr = s.__getattribute__("hltPathsToCheck")
map(lambda x: triggers.add(x.replace("_v","")),vstr)
triggers = list(triggers)
print triggers
#------------------------------------------------------------
# Generating the list with all the efficiencies
for type in plot_types:
for obj in obj_types:
for trig in triggers:
efficiency_strings.append(efficiency_string(obj,type,trig))
#for item in efficiency_strings:
# print item
add_reco_strings(efficiency_strings)
