HADStep_cff.py

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import FWCore.ParameterSet.Config as cms
 
from RecoHGCal.TICL.TICLSeedingRegions_cff import ticlSeedingGlobal
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
from RecoHGCal.TICL.multiClustersFromTrackstersProducer_cfi import multiClustersFromTrackstersProducer as _multiClustersFromTrackstersProducer
 
# CLUSTER FILTERING/MASKING
 
filteredLayerClustersHAD = _filteredLayerClustersProducer.clone(
    clusterFilter = "ClusterFilterByAlgoAndSize",
    min_cluster_size = 3, # inclusive
    algo_number = 8,
    iteration_label = "HAD",
    LayerClustersInputMask = "ticlTrackstersTrk"
)
 
# CA - PATTERN RECOGNITION
 
ticlTrackstersHAD = _trackstersProducer.clone(
    filtered_mask = "filteredLayerClustersHAD:HAD",
    original_mask = 'ticlTrackstersTrk',
    seeding_regions = "ticlSeedingGlobal",
    # For the moment we mask everything w/o requirements since we are last
#    filter_on_categories = [5], # filter neutral hadrons
#    pid_threshold = 0.7,
    skip_layers = 1,
    min_layers_per_trackster = 12,
    min_cos_theta = 0.866,    # ~30 degrees
    min_cos_pointing = 0.819, # ~35 degrees
    max_delta_time = -1,
    itername = "HADRONIC"
    )
 
# MULTICLUSTERS
 
ticlMultiClustersFromTrackstersHAD = _multiClustersFromTrackstersProducer.clone(
    Tracksters = "ticlTrackstersHAD"
    )
 
ticlHADStepTask = cms.Task(ticlSeedingGlobal
    ,filteredLayerClustersHAD
    ,ticlTrackstersHAD
    ,ticlMultiClustersFromTrackstersHAD)