Functions
def	make_efficiency_string (objtype, plot_type, triggerpath)

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=[])

Variables
	hltExoticaDSTJets

	hltExoticaDSTMuons

	hltExoticaEleMu

	hltExoticaHTDisplacedJets

	hltExoticaPhotonMET

	hltExoticaPostCaloHT

	hltExoticaPostDiPhoton

	hltExoticaPostDisplacedDimuon

	hltExoticaPostDisplacedDiPhoton

	hltExoticaPostDisplacedL2Dimuon

	hltExoticaPostDisplacedMuEG

	hltExoticaPostHighPtDielectron

	hltExoticaPostHighPtDimuon

	hltExoticaPostHighPtElectron

	hltExoticaPostHighPtPhoton

	hltExoticaPostJetNoBptx

	hltExoticaPostLowPtDielectron

	hltExoticaPostLowPtDimuon

	hltExoticaPostLowPtElectron

	hltExoticaPostLowPtTrimuon

	hltExoticaPostMETplusTrack

	hltExoticaPostMonojet

	hltExoticaPostMonojetBackup

	hltExoticaPostMuonNoBptx

	hltExoticaPostPFHT

	hltExoticaPostProcessors

	hltExoticaPostPureMET

	hltExoticaPostSingleMuon

	hltExoticaTracklessJets

Function Documentation

◆ make_efficiency_string()

def hltExoticaPostProcessors_cff.make_efficiency_string	(	objtype,
		plot_type,
		triggerpath
	)

Definition at line 6 of file hltExoticaPostProcessors_cff.py.

Referenced by make_exo_postprocessor().

 def make_efficiency_string(objtype, plot_type, triggerpath):
     # --- IMPORTANT: Add here a elif if you are introduce a new collection
     #                (see EVTColContainer::getTypeString) 
     if objtype == "Mu" :
         objtypeLatex="#mu"
     elif objtype == "refittedStandAloneMuons": 
         objtypeLatex="refittedStandAlone #mu"
     elif objtype == "Ele": 
         objtypeLatex="e"
     elif objtype == "Photon": 
         objtypeLatex="#gamma"
     elif objtype == "PFTau": 
         objtypeLatex="#tau"
     else:
         objtypeLatex=objtype
     numer_description = "# gen %s passed the %s" % (objtypeLatex,triggerpath)
     denom_description = "# gen %s " % (objtypeLatex)
 
     if plot_type == "TurnOn1":
         title = "pT Turn-On"
         xAxis = "p_{T} of Leading Generated %s (GeV/c)" % (objtype)
         input_type = "gen%sMaxPt1" % (objtype)
     if plot_type == "TurnOn2":
         title = "Next-to-Leading pT Turn-On"
         xAxis = "p_{T} of Next-to-Leading Generated %s (GeV/c)" % (objtype)
         input_type = "gen%sMaxPt2" % (objtype)
     if plot_type == "TurnOn3":
         title = "Next-to-next-to-Leading pT Turn-On"
         xAxis = "p_{T} of Next-to-next-to-Leading Generated %s (GeV/c)" % (objtype)
         input_type = "gen%sMaxPt3" % (objtype)
     if plot_type == "TurnOn4":
         title = "SumEt Turn-On"
         xAxis = "SumEt of Leading Generated %s (GeV/c)" % (objtype)
         input_type = "gen%sSumEt" % (objtype)
     if plot_type == "EffEta":
         title = "#eta Efficiency"
         xAxis = "#eta of Generated %s " % (objtype)
         input_type = "gen%sEta" % (objtype)
     if plot_type == "EffPhi":
         title = "#phi Efficiency"
         xAxis = "#phi of Generated %s " % (objtype)
         input_type = "gen%sPhi" % (objtype)
     if plot_type == "EffDxy":
         title = "Dxy Efficiency"
         xAxis = "Dxy of Generated %s " % (objtype)
         input_type = "gen%sDxy" % (objtype)
 
     yAxis = "%s / %s" % (numer_description, denom_description)
     all_titles = "%s for trigger %s; %s; %s" % (title, triggerpath,
                                         xAxis, yAxis)
     return "Eff_%s_%s '%s' %s_%s %s" % (input_type,triggerpath,
                     all_titles,input_type,triggerpath,input_type)
 
 
 #--- IMPORTANT: Trigger are extracted from the hltExoticaValidator_cfi.py module

◆ make_exo_postprocessor()

def hltExoticaPostProcessors_cff.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 = `[]`
	)

Definition at line 65 of file hltExoticaPostProcessors_cff.py.

References make_efficiency_string(), and python.rootplot.root2matplotlib.replace().

 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
 