def make_higgs_postprocessor(
analysis_name,
plot_types=["TurnOn1", "TurnOn2", "EffEta", "EffPhi"],
object_types=["Mu", "Ele", "Photon", "MET", "PFMET", "PFTau", "Jet"],
extra_str_templates=[]):
postprocessor = hltHiggsPostProcessor.clone()
postprocessor.subDirs = ["HLT/Higgs/" + 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.
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_string.replace("Generated",
"Reconstructed").replace(
"Gen", "Reco").replace(
"gen", "rec"))
postprocessor.efficiencyProfile = efficiency_strings
return postprocessor
def make_higgs_postprocessor(analysis_name, plot_types=["TurnOn1", "TurnOn2", "EffEta", "EffPhi"], object_types=["Mu","Ele","Photon","MET","PFMET","PFTau","Jet"], extra_str_templates=[]):
postprocessor = hltHiggsPostProcessor.clone()
postprocessor.subDirs = ["HLT/Higgs/" + 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.
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_string.replace("Generated", "Reconstructed").replace("Gen", "Reco").replace("gen", "rec"))
postprocessor.efficiencyProfile = efficiency_strings
return postprocessor
strings.extend(reco_strings)
plot_types = ["TurnOn1", "TurnOn2", "EffEta", "EffPhi"]
#--- IMPORTANT: Update this collection whenever you introduce a new object
# in the code (from EVTColContainer::getTypeString)
obj_types = ["Mu","Ele","Photon","MET","PFTau"]
#--- IMPORTANT: Trigger are extracted from the hltHiggsValidator_cfi.py module
triggers = [ ]
efficiency_strings = []
# Extract the triggers used in the hltHiggsValidator
from HLTriggerOffline.Higgs.hltHiggsValidator_cfi import hltHiggsValidator 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)
#------------------------------------------------------------
# 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))
add_reco_strings(efficiency_strings)
hltHiggsPostHTauNu = hltHiggsPostProcessor.clone()
hltHiggsPostHTauNu.subDirs = ['HLT/Higgs/Htaunu']
return reco_strings
plot_types = ["TurnOn1", "TurnOn2", "EffEta", "EffPhi"]
#--- IMPORTANT: Update this collection whenever you introduce a new object
# in the code (from EVTColContainer::getTypeString)
obj_types = ["Mu", "Ele", "Photon", "MET", "PFMET", "PFTau", "Jet"]
#--- IMPORTANT: Trigger are extracted from the hltHiggsValidator_cfi.py module
triggers = []
efficiency_strings = []
# Extract the triggers used in the hltHiggsValidator
from HLTriggerOffline.Higgs.hltHiggsValidator_cfi import hltHiggsValidator 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)
#------------------------------------------------------------
# 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))
#add the summary plots
for an in _config.analysis:
efficiency_strings.append("EffSummaryPaths_" + an +
"_gen ' Efficiency of paths used in " + an +
return reco_strings
plot_types = ["TurnOn1", "TurnOn2", "EffEta", "EffPhi"]
#--- IMPORTANT: Update this collection whenever you introduce a new object
# in the code (from EVTColContainer::getTypeString)
obj_types = ["Mu","Ele","Photon","MET","PFMET","PFTau","Jet"]
#--- IMPORTANT: Trigger are extracted from the hltHiggsValidator_cfi.py module
triggers = []
efficiency_strings = []
# Extract the triggers used in the hltHiggsValidator
from HLTriggerOffline.Higgs.hltHiggsValidator_cfi import hltHiggsValidator 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)
#------------------------------------------------------------
# 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))
#add the summary plots
efficiency_summary_strings = []
return reco_strings
plot_types = ["TurnOn1", "TurnOn2", "EffEta", "EffPhi"]
#--- IMPORTANT: Update this collection whenever you introduce a new object
# in the code (from EVTColContainer::getTypeString)
obj_types = ["Mu", "Ele", "Photon", "MET", "PFMET", "PFTau", "Jet"]
#--- IMPORTANT: Trigger are extracted from the hltHiggsValidator_cfi.py module
triggers = []
efficiency_strings = []
# Extract the triggers used in the hltHiggsValidator
from HLTriggerOffline.Higgs.hltHiggsValidator_cfi import hltHiggsValidator 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)
#------------------------------------------------------------
# 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))
#add the summary plots
for an in _config.analysis:
efficiency_strings.append("EffSummaryPaths_" + an +
