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hltTiclTracksterLinksL1Seeded_cfi.py
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1 import FWCore.ParameterSet.Config as cms
2 
3 hltTiclTracksterLinksL1Seeded = cms.EDProducer("TracksterLinksProducer",
4  detector = cms.string('HGCAL'),
5  layer_clusters = cms.InputTag("hltHgcalMergeLayerClustersL1Seeded"),
6  layer_clustersTime = cms.InputTag("hltHgcalMergeLayerClustersL1Seeded","timeLayerCluster"),
7  inferenceAlgo = cms.string('TracksterInferenceByDNN'),
8  linkingPSet = cms.PSet(
9  algo_verbosity = cms.int32(0),
10  cylinder_radius_sqr = cms.vdouble(9, 9),
11  dot_prod_th = cms.double(0.97),
12  max_distance_projective_sqr = cms.vdouble(60, 60),
13  max_distance_projective_sqr_closest_points = cms.vdouble(60, 60),
14  max_z_distance_closest_points = cms.vdouble(35, 35),
15  min_distance_z = cms.vdouble(30, 30),
16  min_num_lcs = cms.uint32(7),
17  min_trackster_energy = cms.double(10),
18  pca_quality_th = cms.double(0.85),
19  track_time_quality_threshold = cms.double(0.5),
20  type = cms.string('Skeletons'),
21  wind = cms.double(0.036)
22  ),
23  pluginInferenceAlgoTracksterInferenceByDNN = cms.PSet(
24  algo_verbosity = cms.int32(0),
25  onnxPIDModelPath = cms.FileInPath('RecoHGCal/TICL/data/ticlv5/onnx_models/linking/id_v0.onnx'),
26  onnxEnergyModelPath = cms.FileInPath('RecoHGCal/TICL/data/ticlv5/onnx_models/linking/energy_v0.onnx'),
27  inputNames = cms.vstring('input'),
28  output_en = cms.vstring('enreg_output'),
29  output_id = cms.vstring('pid_output'),
30  eid_min_cluster_energy = cms.double(1),
31  eid_n_layers = cms.int32(50),
32  eid_n_clusters = cms.int32(10),
33  doPID = cms.int32(1),
34  doRegression = cms.int32(1),
35  type = cms.string('TracksterInferenceByDNN')
36  ),
37  mightGet = cms.optional.untracked.vstring,
38  original_masks = cms.VInputTag("hltHgcalMergeLayerClustersL1Seeded:InitialLayerClustersMask"),
39  propagator = cms.string('PropagatorWithMaterial'),
40  regressionAndPid = cms.bool(True),
41  tracksters_collections = cms.VInputTag("hltTiclTrackstersCLUE3DHighL1Seeded", "hltTiclTrackstersPassthrough")
42 )
43 
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