1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
|
import FWCore.ParameterSet.Config as cms
from DQMOffline.L1Trigger import L1TEtSumJetOffline_cfi as L1TStep1
variables = {
'jet': L1TStep1.jetEfficiencyThresholds,
}
plots = {
'jet': [
"efficiencyJetEt_HB", "efficiencyJetEt_HE", "efficiencyJetEt_HF",
"efficiencyJetEt_HB_HE"],
}
allEfficiencyPlots = []
add_plot = allEfficiencyPlots.append
for variable, thresholds in variables.items():
for plot in plots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
from DQMOffline.L1Trigger.L1TDiffHarvesting_cfi import l1tDiffHarvesting
resolution_plots = [
"resolutionJetET_HB", "resolutionJetET_HE", "resolutionJetET_HF",
"resolutionJetET_HB_HE", "resolutionJetPhi_HB", "resolutionJetPhi_HE",
"resolutionJetPhi_HF", "resolutionJetPhi_HB_HE", "resolutionJetEta",
]
plots2D = [
'L1JetETvsCaloJetET_HB', 'L1JetETvsCaloJetET_HE', 'L1JetETvsCaloJetET_HF',
'L1JetETvsCaloJetET_HB_HE', 'L1JetPhivsCaloJetPhi_HB', 'L1JetPhivsCaloJetPhi_HE',
'L1JetPhivsCaloJetPhi_HF', 'L1JetPhivsCaloJetPhi_HB_HE', 'L1JetEtavsCaloJetEta_HB',
]
allPlots = []
allPlots.extend(allEfficiencyPlots)
allPlots.extend(resolution_plots)
allPlots.extend(plots2D)
l1tJetEmuDiff = l1tDiffHarvesting.clone(
plotCfgs=cms.untracked.VPSet(
cms.untracked.PSet( # EMU comparison
dir1=cms.untracked.string("L1T/L1TObjects/L1TJet/L1TriggerVsReco"),
dir2=cms.untracked.string("L1TEMU/L1TObjects/L1TJet/L1TriggerVsReco"),
outputDir=cms.untracked.string(
"L1TEMU/L1TObjects/L1TJet/L1TriggerVsReco/Comparison"),
plots=cms.untracked.vstring(allPlots)
),
)
)
# modifications for the pp reference run
variables_HI = variables
variables_HI['jet'] = L1TStep1.jetEfficiencyThresholds_HI
allEfficiencyPlots_HI = []
add_plot = allEfficiencyPlots_HI.append
for variable, thresholds in variables_HI.items():
for plot in plots[variable]:
for threshold in thresholds:
plotName = '{0}_threshold_{1}'.format(plot, threshold)
add_plot(plotName)
allPlots_HI = []
allPlots_HI.extend(allEfficiencyPlots_HI)
allPlots_HI.extend(resolution_plots)
allPlots_HI.extend(plots2D)
from Configuration.Eras.Modifier_ppRef_2017_cff import ppRef_2017
ppRef_2017.toModify(l1tJetEmuDiff,
plotCfgs = {0:dict(plots = allPlots_HI)}
)
|