hltHiggsPostProcessors_cff Namespace Reference

Functions
def	efficiency_string (objtype, plot_type, triggerpath)
def	get_reco_strings (strings)

Function Documentation

def hltHiggsPostProcessors_cff.efficiency_string	(		objtype,
			plot_type,
			triggerpath
	)

Definition at line 6 of file hltHiggsPostProcessors_cff.py.

Referenced by get_reco_strings().

def 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 == "Photon": 
        objtypeLatex="#gamma"
    elif objtype == "Ele": 
        objtypeLatex="e"
    elif objtype == "MET" :
        objtypeLatex="MET"
    elif objtype == "PFMET" :
        objtypeLatex="PFMET"
    elif objtype == "PFTau": 
        objtypeLatex="#tau"
    elif objtype == "Jet": 
        objtypeLatex="jet"
    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)
    elif 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)
    elif plot_type == "EffEta":
        title = "#eta Efficiency"
        xAxis = "#eta of Generated %s " % (objtype)
        input_type = "gen%sEta" % (objtype)
    elif plot_type == "EffPhi":
        title = "#phi Efficiency"
        xAxis = "#phi of Generated %s " % (objtype)
        input_type = "gen%sPhi" % (objtype)     
    elif "TurnOn" in plot_type:
        title = "%sth Leading pT Turn-On" % (plot_type[-1])
        xAxis = "p_{T} of %sth Leading Generated %s (GeV/c)" % (plot_type[-1], objtype)
        input_type = "gen%sMaxPt%s" % (objtype, plot_type[-1])
    elif plot_type == "EffdEtaqq":
        title = "#Delta #eta_{qq} Efficiency"
        xAxis = "#Delta #eta_{qq} of Generated %s " % (objtype)
        input_type = "gen%sdEtaqq" % (objtype)
    elif plot_type == "Effmqq":
        title = "m_{qq} Efficiency"
        xAxis = "m_{qq} of Generated %s " % (objtype)
        input_type = "gen%smqq" % (objtype)
    elif plot_type == "EffdPhibb":
        title = "#Delta #phi_{bb} Efficiency"
        xAxis = "#Delta #phi_{bb} of Generated %s " % (objtype)
        input_type = "gen%sdPhibb" % (objtype)
    elif plot_type == "EffCSV1":
        title = "CSV1 Efficiency"
        xAxis = "CSV1 of Generated %s " % (objtype)
        input_type = "gen%sCSV1" % (objtype)
    elif plot_type == "EffCSV2":
        title = "CSV2 Efficiency"
        xAxis = "CSV2 of Generated %s " % (objtype)
        input_type = "gen%sCSV2" % (objtype)
    elif plot_type == "EffCSV3":
        title = "CSV3 Efficiency"
        xAxis = "CSV3 of Generated %s " % (objtype)
        input_type = "gen%sCSV3" % (objtype)
    elif plot_type == "EffmaxCSV":
        title = "max CSV Efficiency"
        xAxis = "max CSV of Generated %s " % (objtype)
        input_type = "gen%smaxCSV" % (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)

# Adding the reco objects

def hltHiggsPostProcessors_cff.get_reco_strings

(

strings

)

Definition at line 85 of file hltHiggsPostProcessors_cff.py.

References efficiency_string(), reco.if(), list(), genParticles_cff.map, and python.rootplot.root2matplotlib.replace().

def get_reco_strings(strings):
    reco_strings = []
    for entry in strings:
        reco_strings.append(entry
                            .replace("Generated", "Reconstructed")
                            .replace("Gen", "Reco")
                            .replace("gen", "rec"))
    return reco_strings