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Merge pull request #46539 from waredjeb/TICLv5p1_14_2_X_2024-10-20-0000
TICLv5a : Improve skeleton linking and parameters tuning
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14 changes: 14 additions & 0 deletions
14
...er/Configuration/python/HLT_75e33/modules/hltFilteredLayerClustersRecoveryL1Seeded_cfi.py
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import FWCore.ParameterSet.Config as cms | ||
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hltFilteredLayerClustersRecoveryL1Seeded = cms.EDProducer("FilteredLayerClustersProducer", | ||
LayerClusters = cms.InputTag("hltHgcalMergeLayerClustersL1Seeded"), | ||
LayerClustersInputMask = cms.InputTag("hltTiclTrackstersCLUE3DHighL1Seeded"), | ||
algo_number = cms.vint32(6, 7, 8), | ||
clusterFilter = cms.string('ClusterFilterBySize'), | ||
iteration_label = cms.string('Recovery'), | ||
max_cluster_size = cms.int32(9999), | ||
max_layerId = cms.int32(9999), | ||
mightGet = cms.optional.untracked.vstring, | ||
min_cluster_size = cms.int32(2), | ||
min_layerId = cms.int32(0) | ||
) |
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44 changes: 0 additions & 44 deletions
44
HLTrigger/Configuration/python/HLT_75e33/modules/hltTiclTracksterLinksUnseeded_cfi.py
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17 changes: 2 additions & 15 deletions
17
HLTrigger/Configuration/python/HLT_75e33/modules/hltTiclTracksterLinks_cfi.py
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93 changes: 93 additions & 0 deletions
93
HLTrigger/Configuration/python/HLT_75e33/modules/hltTiclTrackstersRecoveryL1Seeded_cfi.py
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import FWCore.ParameterSet.Config as cms | ||
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hltTiclTrackstersRecoveryL1Seeded = cms.EDProducer("TrackstersProducer", | ||
detector = cms.string('HGCAL'), | ||
filtered_mask = cms.InputTag("hltFilteredLayerClustersRecoveryL1Seeded","Recovery"), | ||
itername = cms.string('Recovery'), | ||
layer_clusters = cms.InputTag("hltHgcalMergeLayerClustersL1Seeded"), | ||
layer_clusters_hfnose_tiles = cms.InputTag("ticlLayerTileHFNose"), | ||
layer_clusters_tiles = cms.InputTag("hltTiclLayerTileProducerL1Seeded"), | ||
mightGet = cms.optional.untracked.vstring, | ||
original_mask = cms.InputTag("hltTiclTrackstersCLUE3DHighL1Seeded"), | ||
patternRecognitionBy = cms.string('Recovery'), | ||
inferenceAlgo = cms.string('TracksterInferenceByDNN'), | ||
pluginPatternRecognitionByCA = cms.PSet( | ||
algo_verbosity = cms.int32(0), | ||
computeLocalTime = cms.bool(True), | ||
energy_em_over_total_threshold = cms.double(-1), | ||
etaLimitIncreaseWindow = cms.double(2.1), | ||
filter_on_categories = cms.vint32(0), | ||
max_delta_time = cms.double(3), | ||
max_longitudinal_sigmaPCA = cms.double(9999), | ||
max_missing_layers_in_trackster = cms.int32(9999), | ||
max_out_in_hops = cms.int32(10), | ||
min_cos_pointing = cms.double(-1), | ||
min_cos_theta = cms.double(0.915), | ||
min_layers_per_trackster = cms.int32(10), | ||
oneTracksterPerTrackSeed = cms.bool(False), | ||
out_in_dfs = cms.bool(True), | ||
pid_threshold = cms.double(0), | ||
promoteEmptyRegionToTrackster = cms.bool(False), | ||
root_doublet_max_distance_from_seed_squared = cms.double(9999), | ||
shower_start_max_layer = cms.int32(9999), | ||
siblings_maxRSquared = cms.vdouble(0.0006, 0.0006, 0.0006), | ||
skip_layers = cms.int32(0), | ||
type = cms.string('CA') | ||
), | ||
pluginPatternRecognitionByCLUE3D = cms.PSet( | ||
algo_verbosity = cms.int32(0), | ||
computeLocalTime = cms.bool(True), | ||
criticalDensity = cms.vdouble(4, 4, 4), | ||
criticalEtaPhiDistance = cms.vdouble(0.025, 0.025, 0.025), | ||
criticalSelfDensity = cms.vdouble(0.15, 0.15, 0.15), | ||
criticalXYDistance = cms.vdouble(1.8, 1.8, 1.8), | ||
criticalZDistanceLyr = cms.vint32(5, 5, 5), | ||
cutHadProb = cms.double(0.5), | ||
densityEtaPhiDistanceSqr = cms.vdouble(0.0008, 0.0008, 0.0008), | ||
densityOnSameLayer = cms.bool(False), | ||
densitySiblingLayers = cms.vint32(3, 3, 3), | ||
densityXYDistanceSqr = cms.vdouble(3.24, 3.24, 3.24), | ||
doPidCut = cms.bool(False), | ||
kernelDensityFactor = cms.vdouble(0.2, 0.2, 0.2), | ||
minNumLayerCluster = cms.vint32(2, 2, 2), | ||
nearestHigherOnSameLayer = cms.bool(False), | ||
outlierMultiplier = cms.vdouble(2, 2, 2), | ||
rescaleDensityByZ = cms.bool(False), | ||
type = cms.string('CLUE3D'), | ||
useAbsoluteProjectiveScale = cms.bool(True), | ||
useClusterDimensionXY = cms.bool(False) | ||
), | ||
pluginPatternRecognitionByFastJet = cms.PSet( | ||
algo_verbosity = cms.int32(0), | ||
antikt_radius = cms.double(0.09), | ||
computeLocalTime = cms.bool(True), | ||
minNumLayerCluster = cms.int32(5), | ||
type = cms.string('FastJet') | ||
), | ||
pluginPatternRecognitionByRecovery = cms.PSet( | ||
algo_verbosity = cms.int32(0), | ||
type = cms.string('Recovery') | ||
), | ||
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pluginInferenceAlgoTracksterInferenceByDNN = cms.PSet( | ||
algo_verbosity = cms.int32(0), | ||
onnxPIDModelPath = cms.FileInPath('RecoHGCal/TICL/data/ticlv5/onnx_models/patternrecognition/id_v0.onnx'), | ||
onnxEnergyModelPath = cms.FileInPath('RecoHGCal/TICL/data/ticlv5/onnx_models/patternrecognition/energy_v0.onnx'), | ||
inputNames = cms.vstring('input'), | ||
output_en = cms.vstring('enreg_output'), | ||
output_id = cms.vstring('pid_output'), | ||
eid_min_cluster_energy = cms.double(1), | ||
eid_n_layers = cms.int32(50), | ||
eid_n_clusters = cms.int32(10), | ||
doPID = cms.int32(0), | ||
doRegression = cms.int32(0), | ||
type = cms.string('TracksterInferenceByDNN') | ||
), | ||
pluginInferenceAlgoTracksterInferenceByANN = cms.PSet( | ||
algo_verbosity = cms.int32(0), | ||
type = cms.string('TracksterInferenceByANN') | ||
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), | ||
seeding_regions = cms.InputTag("hltTiclSeedingL1"), | ||
time_layerclusters = cms.InputTag("hltHgcalMergeLayerClustersL1Seeded","timeLayerCluster") | ||
) |
50 changes: 50 additions & 0 deletions
50
HLTrigger/Configuration/python/HLT_75e33/psets/hltTiclTracksterLinksPSet_cfi.py
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import FWCore.ParameterSet.Config as cms | ||
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hltTiclTracksterLinksPSet = cms.PSet( | ||
cylinder_radius_sqr_split = cms.double(9), | ||
proj_distance_split = cms.double(5), | ||
track_time_quality_threshold = cms.double(0.5), | ||
min_num_lcs = cms.uint32(15), | ||
min_trackster_energy = cms.double(20), | ||
pca_quality_th = cms.double(0.85), | ||
dot_prod_th = cms.double(0.97), | ||
deltaRxy = cms.double(4), | ||
lower_boundary = cms.vdouble( | ||
20, | ||
10 | ||
), | ||
upper_boundary = cms.vdouble( | ||
150, | ||
100 | ||
), | ||
upper_distance_projective_sqr = cms.vdouble( | ||
30, | ||
60 | ||
), | ||
lower_distance_projective_sqr = cms.vdouble( | ||
30, | ||
60 | ||
), | ||
min_distance_z = cms.vdouble( | ||
35, | ||
35 | ||
), | ||
upper_distance_projective_sqr_closest_points = cms.vdouble( | ||
5, | ||
30 | ||
), | ||
lower_distance_projective_sqr_closest_points = cms.vdouble( | ||
10, | ||
50 | ||
), | ||
max_z_distance_closest_points = cms.vdouble( | ||
35, | ||
35 | ||
), | ||
cylinder_radius_sqr = cms.vdouble( | ||
9, | ||
15 | ||
), | ||
algo_verbosity = cms.int32(0), | ||
type = cms.string('Skeletons') | ||
) |
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6 changes: 6 additions & 0 deletions
6
...Configuration/python/HLT_75e33/sequences/HLTTiclTrackstersRecoverySequenceL1Seeded_cfi.py
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import FWCore.ParameterSet.Config as cms | ||
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from ..modules.hltFilteredLayerClustersRecoveryL1Seeded_cfi import * | ||
from ..modules.hltTiclTrackstersRecoveryL1Seeded_cfi import * | ||
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HLTTiclTrackstersRecoverySequence = cms.Sequence(hltFilteredLayerClustersRecovery+hltTiclTrackstersRecovery) |
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