HADStep_cff Namespace Reference

Variables
tuple	filteredLayerClustersHAD
tuple	filteredLayerClustersHFNoseHAD
tuple	ticlHADStepTask
tuple	ticlHFNoseHADStepTask
tuple	ticlTrackstersHAD
tuple	ticlTrackstersHFNoseHAD

Variable Documentation

tuple HADStep_cff.filteredLayerClustersHAD

Initial value:

= _filteredLayerClustersProducer.clone(
    clusterFilter = "ClusterFilterByAlgoAndSize",
    min_cluster_size = 3, # inclusive
    algo_number = 8,
    iteration_label = "HAD",
    LayerClustersInputMask = "ticlTrackstersTrk"
)

Definition at line 10 of file HADStep_cff.py.

tuple HADStep_cff.filteredLayerClustersHFNoseHAD

Initial value:

= filteredLayerClustersHAD.clone(
    min_cluster_size = 2, # inclusive
    algo_number = 9,
    iteration_label = "HADn",
    LayerClusters = 'hgcalLayerClustersHFNose',
    LayerClustersInputMask = "ticlTrackstersHFNoseTrk"
)

Definition at line 43 of file HADStep_cff.py.

tuple HADStep_cff.ticlHADStepTask

Initial value:

= cms.Task(ticlSeedingGlobal
    ,filteredLayerClustersHAD
    ,ticlTrackstersHAD)

Definition at line 37 of file HADStep_cff.py.

tuple HADStep_cff.ticlHFNoseHADStepTask

Initial value:

= cms.Task(ticlSeedingGlobalHFNose
                                 ,filteredLayerClustersHFNoseHAD
                                 ,ticlTrackstersHFNoseHAD)

Definition at line 72 of file HADStep_cff.py.

tuple HADStep_cff.ticlTrackstersHAD

Initial value:

= _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,
    pluginPatternRecognitionByCA = dict(
       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 = "HAD"
)

Definition at line 20 of file HADStep_cff.py.

tuple HADStep_cff.ticlTrackstersHFNoseHAD

Initial value:

= ticlTrackstersHAD.clone(
    detector = "HFNose",
    layer_clusters = "hgcalLayerClustersHFNose",
    layer_clusters_hfnose_tiles = "ticlLayerTileHFNose",
    original_mask = "ticlTrackstersHFNoseTrk",
    filtered_mask = "filteredLayerClustersHFNoseHAD:HADn",
    seeding_regions = "ticlSeedingGlobalHFNose",
    time_layerclusters = "hgcalLayerClustersHFNose:timeLayerCluster",
    pluginPatternRecognitionByCA = dict(
       pid_threshold = 0.,
       skip_layers = 1,
       min_layers_per_trackster = 5,
       min_cos_theta = 0.866,    # ~30 degrees
       min_cos_pointing = 0.866, # ~30 degrees
       max_delta_time = -1
    ),
    itername = "HADn"
    )

Definition at line 53 of file HADStep_cff.py.