L1TEtSumDiff_cfi.py

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import FWCore.ParameterSet.Config as cms
from DQMOffline.L1Trigger import L1TEtSumJetOffline_cfi as L1TStep1
import six
 
variables = {
    'met': L1TStep1.metEfficiencyThresholds,
    'mht': L1TStep1.mhtEfficiencyThresholds,
    'ett': L1TStep1.ettEfficiencyThresholds,
    'htt': L1TStep1.httEfficiencyThresholds,
}
 
plots = {
    'met': ['efficiencyMET', 'efficiencyETMHF', 'efficiencyPFMetNoMu'],
    'mht': ['efficiencyMHT'],
    'ett': ['efficiencyETT'],
    'htt': ['efficiencyHTT'],
}
 
allEfficiencyPlots = []
add_plot = allEfficiencyPlots.append
for variable, thresholds in six.iteritems(variables):
    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 = [
    "resolutionMET", "resolutionETMHF", "resolutionPFMetNoMu", "resolutionMHT", "resolutionETT",
    "resolutionHTT", "resolutionMETPhi", "resolutionETMHFPhi", "resolutionPFMetNoMuPhi",
    "resolutionMHTPhi",
]
plots2D = [
    'L1METvsCaloMET', 'L1ETMHFvsCaloETMHF', 'L1METvsPFMetNoMu', 'L1MHTvsRecoMHT', 'L1ETTvsCaloETT',
    'L1HTTvsRecoHTT', 'L1METPhivsCaloMETPhi', 'L1METPhivsPFMetNoMuPhi', 'L1ETMHFPhivsCaloETMHFPhi',
    'L1MHTPhivsRecoMHTPhi',
]
 
allPlots = []
allPlots.extend(allEfficiencyPlots)
allPlots.extend(resolution_plots)
allPlots.extend(plots2D)
 
l1tEtSumEmuDiff = l1tDiffHarvesting.clone(
    plotCfgs=cms.untracked.VPSet(
        cms.untracked.PSet(  # EMU comparison
            dir1=cms.untracked.string(
                "L1T/L1TObjects/L1TEtSum/L1TriggerVsReco"),
            dir2=cms.untracked.string(
                "L1TEMU/L1TObjects/L1TEtSum/L1TriggerVsReco"),
            outputDir=cms.untracked.string(
                "L1TEMU/L1TObjects/L1TEtSum/L1TriggerVsReco/Comparison"),
            plots=cms.untracked.vstring(allPlots)
        ),
    )
)
 
# modifications for the pp reference run
variables_HI = variables
 
allEfficiencyPlots_HI = []
add_plot = allEfficiencyPlots_HI.append
for variable, thresholds in six.iteritems(variables_HI):
    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(
    l1tEtSumEmuDiff,
    plotCfgs={0: dict(plots=allPlots_HI)}
)