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File indexing completed on 2024-04-06 12:25:23
0001 import math 0002 import FWCore.ParameterSet.Config as cms 0003 0004 from RecoJets.FFTJetProducers.fftjetcommon_cfi import * 0005 0006 # Dijet pattern recognition filter configuration 0007 fftjetDijetFilter = cms.EDFilter( 0008 "FFTJetDijetFilter", 0009 # 0010 # Label for the input clustering tree (sparse or dense) 0011 treeLabel = cms.InputTag("fftjetpatreco", "FFTJetPatternRecognition"), 0012 # 0013 # Do we have the complete event at the lowest clustering tree scale? 0014 # Note that sparse clustering tree removes it by default, even if 0015 # it is inserted by the pattern recognition module. 0016 insertCompleteEvent = cms.bool(fftjet_insert_complete_event), 0017 completeEventScale = cms.double(fftjet_complete_event_scale), 0018 # 0019 # The initial set of scales used by the pattern recognition stage. 0020 # This is also the final set unless clustering tree construction 0021 # is adaptive. Needed here for reading back non-adaptive trees. 0022 InitialScales = fftjet_patreco_scales_3_at_050, 0023 # 0024 # Clustering tree distance functor 0025 TreeDistanceCalculator = fftjet_fixed_bandwidth_distance, 0026 # 0027 # The scale to work with. Clustering tree will find the closest 0028 # level whose scale is equal to or above the one given here. 0029 fixedScale = cms.double(0.5/1.0001), 0030 # 0031 # Conversion factor from scale squared times peak magnitude to Pt. 0032 # Note that this factor depends on the grid used for pattern resolution. 0033 # The default value given here is correct for the default grid only. 0034 ptConversionFactor = cms.double(128*256/(4.0*math.pi)), 0035 # 0036 # The cuts which must be passed for this event to continue along 0037 # the data processing chain 0038 min1to0PtRatio = cms.double(0.6), 0039 minDeltaPhi = cms.double(2.7), 0040 maxThirdJetFraction = cms.double(0.1), 0041 minPt0 = cms.double(1.0), 0042 minPt1 = cms.double(1.0), 0043 maxPeakEta = cms.double(fftjet_standard_eta_range) 0044 )
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