hltExoticaPostProcessors_cff Namespace Reference

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, l1MET, extra_str_templates=[])

Function Documentation

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

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,
			l1MET,
			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","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