TrkStep_cff.py

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import FWCore.ParameterSet.Config as cms
 
from RecoHGCal.TICL.TICLSeedingRegions_cff import ticlSeedingTrk
from RecoHGCal.TICL.ticlLayerTileProducer_cfi import ticlLayerTileProducer as _ticlLayerTileProducer
from RecoHGCal.TICL.trackstersProducer_cfi import trackstersProducer as _trackstersProducer
from RecoHGCal.TICL.filteredLayerClustersProducer_cfi import filteredLayerClustersProducer as _filteredLayerClustersProducer
 
# CLUSTER FILTERING/MASKING
 
filteredLayerClustersTrk = _filteredLayerClustersProducer.clone(
  clusterFilter = "ClusterFilterByAlgoAndSize",
  min_cluster_size = 3, # inclusive
  algo_number = 8,
  LayerClustersInputMask = 'ticlTrackstersEM',
  iteration_label = "Trk"
)
 
# CA - PATTERN RECOGNITION
 
ticlTrackstersTrk = _trackstersProducer.clone(
  filtered_mask = "filteredLayerClustersTrk:Trk",
  seeding_regions = "ticlSeedingTrk",
  original_mask = 'ticlTrackstersEM',
  pluginPatternRecognitionByCA = dict(
    filter_on_categories = [2, 4], # filter muons and charged hadrons
    pid_threshold = 0.0,
    skip_layers = 3,
    min_layers_per_trackster = 10,
    min_cos_theta = 0.866, # ~30 degrees
    min_cos_pointing = 0.798, # ~ 37 degrees
    max_delta_time = -1.,
    algo_verbosity = 2,
    oneTracksterPerTrackSeed = True,
    promoteEmptyRegionToTrackster = True
  ),
  itername = "Trk"
)
 
ticlTrkStepTask = cms.Task(ticlSeedingTrk
    ,filteredLayerClustersTrk
    ,ticlTrackstersTrk)