def TICL_iterations(process):
process.FEVTDEBUGHLTEventContent.outputCommands.extend(['keep *_MultiClustersFromTracksters*_*_*'])
process.TICLLayerTileProducer = ticlLayerTileProducer.clone()
process.FilteredLayerClustersMIP = filteredLayerClustersProducer.clone(
clusterFilter = "ClusterFilterBySize",
algo_number = 8,
max_cluster_size = 2, # inclusive
iteration_label = "MIP"
)
process.TrackstersMIP = trackstersProducer.clone(
filtered_mask = cms.InputTag("FilteredLayerClustersMIP", "MIP"),
missing_layers = 3,
min_clusters_per_ntuplet = 15,
min_cos_theta = 0.985 # ~10 degrees
)
process.MultiClustersFromTrackstersMIP = multiClustersFromTrackstersProducer.clone(
label = "MIPMultiClustersFromTracksterByCA",
Tracksters = "TrackstersMIP"
)
process.FilteredLayerClusters = filteredLayerClustersProducer.clone(
algo_number = 8,
iteration_label = "algo8"
)
process.Tracksters = trackstersProducer.clone(
original_mask = "TrackstersMIP",
filtered_mask = cms.InputTag("FilteredLayerClusters", "algo8"),
missing_layers = 2,
min_clusters_per_ntuplet = 15,
min_cos_theta = 0.94, # ~20 degrees
min_cos_pointing = 0.7
)
process.MultiClustersFromTracksters = multiClustersFromTrackstersProducer.clone(
Tracksters = "Tracksters"
)
process.HGCalUncalibRecHit = HGCalUncalibRecHit
process.HGCalRecHit = HGCalRecHit
process.hgcalLayerClusters = hgcalLayerClusters
process.hgcalMultiClusters = hgcalMultiClusters
process.TICL_Task = cms.Task(process.HGCalUncalibRecHit,
process.HGCalRecHit,
process.hgcalLayerClusters,
process.FilteredLayerClustersMIP,
process.TICLLayerTileProducer,
process.TrackstersMIP,
process.MultiClustersFromTrackstersMIP,
process.FilteredLayerClusters,
process.Tracksters,
process.MultiClustersFromTracksters,
process.hgcalMultiClusters)
process.schedule = cms.Schedule(process.raw2digi_step,process.FEVTDEBUGHLToutput_step)
process.schedule.associate(process.TICL_Task)
return process
def TICL_iterations(process):
process.FEVTDEBUGHLTEventContent.outputCommands.extend(['keep *_MultiClustersFromTracksters*_*_*'])
process.FilteredLayerClustersMIP = filteredLayerClustersProducer.clone(
clusterFilter = "ClusterFilterBySize",
algo_number = 8,
max_cluster_size = 2, # inclusive
iteration_label = "MIP"
)
process.TrackstersMIP = trackstersProducer.clone(
filtered_mask = cms.InputTag("FilteredLayerClustersMIP", "MIP"),
missing_layers = 3,
min_clusters_per_ntuplet = 15,
min_cos_theta = 0.985 # ~10 degrees
)
process.MultiClustersFromTrackstersMIP = multiClustersFromTrackstersProducer.clone(
label = "MIPMultiClustersFromTracksterByCA",
Tracksters = "TrackstersMIP"
)
process.FilteredLayerClusters = filteredLayerClustersProducer.clone(
algo_number = 8,
iteration_label = "algo8"
)
process.Tracksters = trackstersProducer.clone(
original_mask = "TrackstersMIP",
filtered_mask = cms.InputTag("FilteredLayerClusters", "algo8"),
missing_layers = 2,
min_clusters_per_ntuplet = 15,
min_cos_theta = 0.94, # ~20 degrees
min_cos_pointing = 0.7
)
process.MultiClustersFromTracksters = multiClustersFromTrackstersProducer.clone(
Tracksters = "Tracksters"
)
process.HGCalUncalibRecHit = HGCalUncalibRecHit
process.HGCalRecHit = HGCalRecHit
process.hgcalLayerClusters = hgcalLayerClusters
process.hgcalMultiClusters = hgcalMultiClusters
process.TICL_Task = cms.Task(process.HGCalUncalibRecHit,
process.HGCalRecHit,
process.hgcalLayerClusters,
process.FilteredLayerClustersMIP,
process.TrackstersMIP,
process.MultiClustersFromTrackstersMIP,
process.FilteredLayerClusters,
process.Tracksters,
process.MultiClustersFromTracksters,
process.hgcalMultiClusters)
process.schedule = cms.Schedule(process.raw2digi_step,process.FEVTDEBUGHLToutput_step)
process.schedule.associate(process.TICL_Task)
return process
def TICL_iterations(process):
process.ticlLayerTileProducer = ticlLayerTileProducer.clone()
process.ticlSeedingGlobal = ticlSeedingRegionProducer.clone(algoId=2)
process.filteredLayerClustersMIP = filteredLayerClustersProducer.clone(
clusterFilter="ClusterFilterBySize",
algo_number=8,
max_cluster_size=2, # inclusive
iteration_label="MIP")
process.trackstersMIP = trackstersProducer.clone(
filtered_mask="filteredLayerClustersMIP:MIP",
seeding_regions="ticlSeedingGlobal",
skip_layers=3,
min_layers_per_trackster=15,
min_cos_theta=0.99, # ~10 degrees
)
process.filteredLayerClusters = filteredLayerClustersProducer.clone(
clusterFilter="ClusterFilterByAlgoAndSize",
min_cluster_size=2,
algo_number=8,
iteration_label="algo8")
process.tracksters = trackstersProducer.clone(
original_mask="trackstersMIP",
filtered_mask="filteredLayerClusters:algo8",
seeding_regions="ticlSeedingGlobal",
skip_layers=2,
min_layers_per_trackster=15,
min_cos_theta=0.94, # ~20 degrees
min_cos_pointing=0.7)
process.HGCalUncalibRecHit = HGCalUncalibRecHit
process.HGCalRecHit = HGCalRecHit
process.hgcalLayerClusters = hgcalLayerClusters
process.hgcalMultiClusters = hgcalMultiClusters
process.TICL_Task = cms.Task(
process.HGCalUncalibRecHit, process.HGCalRecHit,
process.hgcalLayerClusters, process.filteredLayerClustersMIP,
process.ticlLayerTileProducer, process.ticlSeedingGlobal,
process.trackstersMIP, process.filteredLayerClusters,
process.tracksters, process.hgcalMultiClusters)
process.schedule = cms.Schedule(process.raw2digi_step,
process.FEVTDEBUGHLToutput_step)
process.schedule.associate(process.TICL_Task)
return process
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,
def TICL_iterations_withReco(process):
process.FEVTDEBUGHLTEventContent.outputCommands.extend([
'keep *_multiClustersFromTracksters*_*_*',
'keep *_ticlCandidateFromTrackstersProducer*_*_*',
'keep *_pfTICLProducer*_*_*'
])
process.ticlLayerTileProducer = ticlLayerTileProducer.clone()
process.ticlSeedingTrk = ticlSeedingRegionProducer.clone(algoId=1)
process.filteredLayerClustersTrk = filteredLayerClustersProducer.clone(
clusterFilter="ClusterFilterByAlgo",
algo_number=8,
iteration_label="Trk")
process.trackstersTrk = trackstersProducer.clone(
filtered_mask="filteredLayerClustersTrk:Trk",
seeding_regions="ticlSeedingTrk",
missing_layers=3,
min_clusters_per_ntuplet=5,
min_cos_theta=
0.99, # ~10 degrees
min_cos_pointing=0.9)
process.multiClustersFromTrackstersTrk = multiClustersFromTrackstersProducer.clone(
label="TrkMultiClustersFromTracksterByCA", Tracksters="trackstersTrk")
process.ticlSeedingGlobal = ticlSeedingRegionProducer.clone(algoId=2)
process.filteredLayerClustersMIP = filteredLayerClustersProducer.clone(
clusterFilter="ClusterFilterBySize",
algo_number=8,
max_cluster_size=2, # inclusive
iteration_label="MIP")
process.trackstersMIP = trackstersProducer.clone(
filtered_mask="filteredLayerClustersMIP:MIP",
seeding_regions="ticlSeedingGlobal",
missing_layers=3,
min_clusters_per_ntuplet=15,
min_cos_theta=0.99, # ~10 degrees
min_cos_pointing=0.9,
out_in_dfs=False,
)
process.multiClustersFromTrackstersMIP = multiClustersFromTrackstersProducer.clone(
label="MIPMultiClustersFromTracksterByCA", Tracksters="trackstersMIP")
process.filteredLayerClusters = filteredLayerClustersProducer.clone(
clusterFilter="ClusterFilterByAlgoAndSize",
min_cluster_size=2,
algo_number=8,
iteration_label="algo8",
LayerClustersInputMask="trackstersMIP")
process.trackstersEM = trackstersProducer.clone(
max_out_in_hops=4,
original_mask="trackstersMIP",
filtered_mask="filteredLayerClusters:algo8",
seeding_regions="ticlSeedingGlobal",
missing_layers=1,
min_clusters_per_ntuplet=10,
min_cos_theta=0.984, # ~10 degrees
min_cos_pointing=0.9 # ~26 degrees
)
process.multiClustersFromTrackstersEM = multiClustersFromTrackstersProducer.clone(
Tracksters="trackstersEM")
process.trackstersHAD = trackstersProducer.clone(
filtered_mask="filteredLayerClusters:algo8",
seeding_regions="ticlSeedingGlobal",
missing_layers=2,
min_clusters_per_ntuplet=10,
min_cos_theta=0.8,
min_cos_pointing=0.7)
process.multiClustersFromTrackstersHAD = multiClustersFromTrackstersProducer.clone(
Tracksters="trackstersHAD")
process.ticlCandidateFromTrackstersProducer = ticlCandidateFromTrackstersProducer.clone(
)
process.pfTICLProducer = pfTICLProducer.clone()
process.hgcalMultiClusters = hgcalMultiClusters
process.TICL_Task = cms.Task(
process.ticlLayerTileProducer, process.ticlSeedingTrk,
process.filteredLayerClustersTrk, process.trackstersTrk,
process.multiClustersFromTrackstersTrk, process.ticlSeedingGlobal,
process.filteredLayerClustersMIP, process.trackstersMIP,
process.multiClustersFromTrackstersMIP, process.filteredLayerClusters,
process.trackstersEM, process.multiClustersFromTrackstersEM,
process.trackstersHAD, process.multiClustersFromTrackstersHAD,
process.ticlCandidateFromTrackstersProducer, process.pfTICLProducer)
process.schedule.associate(process.TICL_Task)
process.ticlPFValidation = ticlPFValidation
process.hgcalValidation.insert(-1, process.ticlPFValidation)
if getattr(process, 'hgcalValidator'):
process.hgcalValidator.label_lcl = "hgcalLayerClusters"
process.hgcalValidator.label_mcl = [
"multiClustersFromTrackstersEM:MultiClustersFromTracksterByCA",
"multiClustersFromTrackstersHAD:MultiClustersFromTracksterByCA"
]
process.hgcalValidator.domulticlustersPlots = True
return process
import FWCore.ParameterSet.Config as cms
from RecoHGCal.TICL.TICLSeedingRegions_cff import ticlSeedingGlobal, ticlSeedingGlobalHFNose
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
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,
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),
def TICL_iterations_withReco(process):
process.FEVTDEBUGHLTEventContent.outputCommands.extend(['keep *_multiClustersFromTracksters*_*_*'])
process.ticlLayerTileProducer = ticlLayerTileProducer.clone()
process.ticlSeedingTrk = ticlSeedingRegionProducer.clone(
algoId = 1
)
process.filteredLayerClustersTrk = filteredLayerClustersProducer.clone(
clusterFilter = "ClusterFilterByAlgo",
algo_number = 8,
iteration_label = "Trk"
)
process.trackstersTrk = trackstersProducer.clone(
filtered_mask = cms.InputTag("filteredLayerClustersTrk", "Trk"),
seeding_regions = "ticlSeedingTrk",
missing_layers = 3,
min_clusters_per_ntuplet = 5,
min_cos_theta = 0.99, # ~10 degrees
min_cos_pointing = 0.9
)
process.multiClustersFromTrackstersTrk = multiClustersFromTrackstersProducer.clone(
label = "TrkMultiClustersFromTracksterByCA",
Tracksters = "trackstersTrk"
)
process.ticlSeedingGlobal = ticlSeedingRegionProducer.clone(
algoId = 2
)
process.filteredLayerClustersMIP = filteredLayerClustersProducer.clone(
clusterFilter = "ClusterFilterBySize",
algo_number = 8,
max_cluster_size = 2, # inclusive
iteration_label = "MIP"
)
process.trackstersMIP = trackstersProducer.clone(
filtered_mask = cms.InputTag("filteredLayerClustersMIP", "MIP"),
seeding_regions = "ticlSeedingGlobal",
missing_layers = 3,
min_clusters_per_ntuplet = 15,
min_cos_theta = 0.99, # ~10 degrees
min_cos_pointing = 0.9,
out_in_dfs = False,
)
process.multiClustersFromTrackstersMIP = multiClustersFromTrackstersProducer.clone(
label = "MIPMultiClustersFromTracksterByCA",
Tracksters = "trackstersMIP"
)
process.filteredLayerClusters = filteredLayerClustersProducer.clone(
clusterFilter = "ClusterFilterByAlgoAndSize",
min_cluster_size = 2,
algo_number = 8,
iteration_label = "algo8",
LayerClustersInputMask = "trackstersMIP"
)
process.trackstersEM = trackstersProducer.clone(
original_mask = "trackstersMIP",
filtered_mask = cms.InputTag("filteredLayerClusters", "algo8"),
seeding_regions = "ticlSeedingGlobal",
missing_layers = 2,
min_clusters_per_ntuplet = 10,
min_cos_theta = 0.94, # ~20 degrees
min_cos_pointing = 0.7
)
process.multiClustersFromTrackstersEM = multiClustersFromTrackstersProducer.clone(
Tracksters = "trackstersEM"
)
process.trackstersHAD = trackstersProducer.clone(
filtered_mask = cms.InputTag("filteredLayerClusters", "algo8"),
seeding_regions = "ticlSeedingGlobal",
missing_layers = 2,
min_clusters_per_ntuplet = 10,
min_cos_theta = 0.8,
min_cos_pointing = 0.7
)
process.multiClustersFromTrackstersHAD = multiClustersFromTrackstersProducer.clone(
Tracksters = "trackstersHAD"
)
process.hgcalMultiClusters = hgcalMultiClusters
process.TICL_Task = cms.Task(
process.ticlLayerTileProducer,
process.ticlSeedingTrk,
process.filteredLayerClustersTrk,
process.trackstersTrk,
process.multiClustersFromTrackstersTrk,
process.ticlSeedingGlobal,
process.filteredLayerClustersMIP,
process.trackstersMIP,
process.multiClustersFromTrackstersMIP,
process.filteredLayerClusters,
process.trackstersEM,
process.multiClustersFromTrackstersEM,
process.trackstersHAD,
process.multiClustersFromTrackstersHAD)
process.schedule.associate(process.TICL_Task)
return process
import FWCore.ParameterSet.Config as cms
from RecoHGCal.TICL.TICLSeedingRegions_cff import ticlSeedingGlobal, ticlSeedingGlobalHFNose
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
filteredLayerClustersEM = _filteredLayerClustersProducer.clone(
clusterFilter="ClusterFilterByAlgoAndSize",
min_cluster_size=2, # inclusive
algo_number=8,
LayerClustersInputMask='ticlTrackstersTrk',
iteration_label="EM")
# CA - PATTERN RECOGNITION
ticlTrackstersEM = _trackstersProducer.clone(
filtered_mask="filteredLayerClustersEM:EM",
original_mask='ticlTrackstersTrk',
seeding_regions="ticlSeedingGlobal",
filter_on_categories=[0, 1],
pid_threshold=0.8,
max_out_in_hops=4,
missing_layers=1,
min_clusters_per_ntuplet=10,
min_cos_theta=0.978, # ~12 degrees
min_cos_pointing=0.9, # ~25 degrees
max_delta_time=3.,
itername="EM",
import FWCore.ParameterSet.Config as cms
from RecoHGCal.TICL.TICLSeedingRegions_cff import ticlSeedingGlobal, ticlSeedingGlobalHFNose
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
filteredLayerClustersCLUE3DHigh = _filteredLayerClustersProducer.clone(
clusterFilter = "ClusterFilterByAlgoAndSize",
min_cluster_size = 2, # inclusive
algo_number = 8,
iteration_label = "CLUE3DHigh"
)
# PATTERN RECOGNITION
ticlTrackstersCLUE3DHigh = _trackstersProducer.clone(
filtered_mask = "filteredLayerClustersCLUE3DHigh:CLUE3DHigh",
seeding_regions = "ticlSeedingGlobal",
itername = "CLUE3DHigh",
patternRecognitionBy = "CLUE3D",
pluginPatternRecognitionByCLUE3D = dict (
criticalEtaPhiDistance = 0.025
)
)
ticlCLUE3DHighStepTask = cms.Task(ticlSeedingGlobal
,filteredLayerClustersCLUE3DHigh
import FWCore.ParameterSet.Config as cms
from RecoHGCal.TICL.TICLSeedingRegions_cff import ticlSeedingTrk, ticlSeedingTrkHFNose
from RecoHGCal.TICL.trackstersProducer_cfi import trackstersProducer as _trackstersProducer
from RecoHGCal.TICL.filteredLayerClustersProducer_cfi import filteredLayerClustersProducer as _filteredLayerClustersProducer
# CLUSTER FILTERING/MASKING
filteredLayerClustersTrkEM = _filteredLayerClustersProducer.clone(
clusterFilter = "ClusterFilterByAlgoAndSizeAndLayerRange",
min_cluster_size = 3, # inclusive
max_layerId = 30, # inclusive
algo_number = 8,
iteration_label = "TrkEM"
)
# CA - PATTERN RECOGNITION
ticlTrackstersTrkEM = _trackstersProducer.clone(
filtered_mask = "filteredLayerClustersTrkEM:TrkEM",
seeding_regions = "ticlSeedingTrk",
pluginPatternRecognitionByCA = dict(
algo_verbosity = 0,
filter_on_categories = [0, 1],
pid_threshold = 0.5,
energy_em_over_total_threshold = 0.9,
max_longitudinal_sigmaPCA = 10,
shower_start_max_layer = 5, #inclusive
max_out_in_hops = 1,
max_missing_layers_in_trackster = 2,
skip_layers = 2,
import FWCore.ParameterSet.Config as cms
from RecoHGCal.TICL.TICLSeedingRegions_cff import ticlSeedingGlobal, ticlSeedingGlobalHFNose
from RecoHGCal.TICL.trackstersProducer_cfi import trackstersProducer as _trackstersProducer
from RecoHGCal.TICL.filteredLayerClustersProducer_cfi import filteredLayerClustersProducer as _filteredLayerClustersProducer
# CLUSTER FILTERING/MASKING
filteredLayerClustersMIP = _filteredLayerClustersProducer.clone(
clusterFilter="ClusterFilterBySize",
algo_number=8,
max_cluster_size=2, # inclusive
iteration_label="MIP")
# CA - PATTERN RECOGNITION
ticlTrackstersMIP = _trackstersProducer.clone(
filtered_mask="filteredLayerClustersMIP:MIP",
seeding_regions="ticlSeedingGlobal",
pluginPatternRecognitionByCA=dict(
skip_layers=3,
min_layers_per_trackster=10,
min_cos_theta=0.99, # ~10 degrees
min_cos_pointing=0.5,
out_in_dfs=False,
max_delta_time=-1),
itername="MIP")
ticlMIPStepTask = cms.Task(ticlSeedingGlobal, filteredLayerClustersMIP,
ticlTrackstersMIP)
import FWCore.ParameterSet.Config as cms
from RecoHGCal.TICL.trackstersFromSimClustersProducer_cfi import trackstersFromSimClustersProducer as _trackstersFromSimClustersProducer
from RecoHGCal.TICL.filteredLayerClustersProducer_cfi import filteredLayerClustersProducer as _filteredLayerClustersProducer
# CA - PATTERN RECOGNITION
filteredLayerClustersSimTracksters = _filteredLayerClustersProducer.clone(
clusterFilter="ClusterFilterByAlgoAndSize",
algo_number=8,
min_cluster_size=0, # inclusive
iteration_label="ticlSimTracksters")
ticlSimTracksters = _trackstersFromSimClustersProducer.clone()
from Configuration.ProcessModifiers.premix_stage2_cff import premix_stage2
premix_stage2.toModify(
ticlSimTracksters,
simclusters="mixData:MergedCaloTruth",
caloparticles="mixData:MergedCaloTruth",
)
ticlSimTrackstersTask = cms.Task(filteredLayerClustersSimTracksters,
ticlSimTracksters)
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
from RecoHGCal.TICL.multiClustersFromTrackstersProducer_cfi import multiClustersFromTrackstersProducer as _multiClustersFromTrackstersProducer
# CLUSTER FILTERING/MASKING
filteredLayerClustersTrk = _filteredLayerClustersProducer.clone(
clusterFilter="ClusterFilterByAlgo", algo_number=8, iteration_label="Trk")
# CA - PATTERN RECOGNITION
ticlTrackstersTrk = _trackstersProducer.clone(
filtered_mask="filteredLayerClustersTrk:Trk",
seeding_regions="ticlSeedingTrk",
filter_on_categories=[2, 4], # filter muons and charged hadrons
pid_threshold=0.0,
missing_layers=3,
min_clusters_per_ntuplet=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")
# MULTICLUSTERS
import FWCore.ParameterSet.Config as cms
from RecoHGCal.TICL.TICLSeedingRegions_cff import ticlSeedingGlobal, ticlSeedingGlobalHFNose
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
filteredLayerClustersFastJet = _filteredLayerClustersProducer.clone(
clusterFilter="ClusterFilterByAlgoAndSize",
min_cluster_size=3, # inclusive
algo_number=8,
iteration_label="FastJet")
# PATTERN RECOGNITION
ticlTrackstersFastJet = _trackstersProducer.clone(
filtered_mask="filteredLayerClustersFastJet:FastJet",
seeding_regions="ticlSeedingGlobal",
itername="FastJet",
patternRecognitionBy="FastJet",
pluginPatternRecognitionByFastJet=dict(algo_verbosity=2))
ticlFastJetStepTask = cms.Task(ticlSeedingGlobal, filteredLayerClustersFastJet,
ticlTrackstersFastJet)
