11 elif objtype ==
"Photon":
13 elif objtype ==
"Ele":
15 elif objtype ==
"MET" :
17 elif objtype ==
"PFTau":
22 numer_description =
"# gen %s passed the %s" % (objtypeLatex,triggerpath)
23 denom_description =
"# gen %s " % (objtypeLatex)
25 if plot_type ==
"TurnOn1":
27 xAxis =
"p_{T} of Leading Generated %s (GeV/c)" % (objtype)
28 input_type =
"gen%sMaxPt1" % (objtype)
29 if plot_type ==
"TurnOn2":
30 title =
"Next-to-Leading pT Turn-On"
31 xAxis =
"p_{T} of Next-to-Leading Generated %s (GeV/c)" % (objtype)
32 input_type =
"gen%sMaxPt2" % (objtype)
33 if plot_type ==
"EffEta":
34 title =
"#eta Efficiency"
35 xAxis =
"#eta of Generated %s " % (objtype)
36 input_type =
"gen%sEta" % (objtype)
37 if plot_type ==
"EffPhi":
38 title =
"#phi Efficiency"
39 xAxis =
"#phi of Generated %s " % (objtype)
40 input_type =
"gen%sPhi" % (objtype)
42 yAxis =
"%s / %s" % (numer_description, denom_description)
43 all_titles =
"%s for trigger %s; %s; %s" % (title, triggerpath,
45 return "Eff_%s_%s '%s' %s_%s %s" % (input_type,triggerpath,
46 all_titles,input_type,triggerpath,input_type)
52 reco_strings.append(entry
53 .
replace(
"Generated",
"Reconstructed")
56 strings.extend(reco_strings)
59 plot_types = [
"TurnOn1",
"TurnOn2",
"EffEta",
"EffPhi"]
62 obj_types = [
"Mu",
"Ele",
"Photon",
"MET",
"PFTau"]
65 efficiency_strings = []
70 for an
in _config.analysis:
71 s = _config.__getattribute__(an)
72 vstr = s.__getattribute__(
"hltPathsToCheck")
73 map(
lambda x: triggers.add(x.replace(
"_v",
"")),vstr)
74 triggers =
list(triggers)
78 for type
in plot_types:
85 hltHiggsPostHTauNu = hltHiggsPostProcessor.clone()
86 hltHiggsPostHTauNu.subDirs = [
'HLT/Higgs/Htaunu']
87 hltHiggsPostHTauNu.efficiencyProfile = efficiency_strings
89 hltHiggsPostHWW = hltHiggsPostProcessor.clone()
90 hltHiggsPostHWW.subDirs = [
'HLT/Higgs/HWW']
91 hltHiggsPostHWW.efficiencyProfile = efficiency_strings
93 hltHiggsPostHZZ = hltHiggsPostProcessor.clone()
94 hltHiggsPostHZZ.subDirs = [
'HLT/Higgs/HZZ']
95 hltHiggsPostHZZ.efficiencyProfile = efficiency_strings
97 hltHiggsPostHgg = hltHiggsPostProcessor.clone()
98 hltHiggsPostHgg.subDirs = [
'HLT/Higgs/Hgg']
99 hltHiggsPostHgg.efficiencyProfile = efficiency_strings
101 hltHiggsPostH2tau = hltHiggsPostProcessor.clone()
102 hltHiggsPostH2tau.subDirs = [
'HLT/Higgs/H2tau']
103 hltHiggsPostH2tau.efficiencyProfile = efficiency_strings
105 hltHiggsPostHtaunu = hltHiggsPostProcessor.clone()
106 hltHiggsPostHtaunu.subDirs = [
'HLT/Higgs/Htaunu']
107 hltHiggsPostHtaunu.efficiencyProfile = efficiency_strings
110 hltHiggsPostProcessors = cms.Sequence(
How EventSelector::AcceptEvent() decides whether to accept an event for output otherwise it is excluding the probing of A single or multiple positive and the trigger will pass if any such matching triggers are PASS or EXCEPTION[A criterion thatmatches no triggers at all is detected and causes a throw.] A single negative with an expectation of appropriate bit checking in the decision and the trigger will pass if any such matching triggers are FAIL or EXCEPTION A wildcarded negative criterion that matches more than one trigger in the trigger list("!*","!HLTx*"if it matches 2 triggers or more) will accept the event if all the matching triggers are FAIL.It will reject the event if any of the triggers are PASS or EXCEPTION(this matches the behavior of"!*"before the partial wildcard feature was incorporated).Triggers which are in the READY state are completely ignored.(READY should never be returned since the trigger paths have been run