From d4db28e6e0c432878bce7313c92e0e11eb25b2e7 Mon Sep 17 00:00:00 2001 From: Jeongeun Lee Date: Wed, 21 Oct 2020 12:28:32 +0200 Subject: [PATCH] drop type specs in RecoHGCal --- RecoHGCal/TICL/python/EMStep_cff.py | 10 +++++----- RecoHGCal/TICL/python/HADStep_cff.py | 2 +- RecoHGCal/TICL/python/MIPStep_cff.py | 10 +++++----- RecoHGCal/TICL/python/TrkStep_cff.py | 2 +- RecoHGCal/TICL/python/ticl_iterations.py | 17 ++++++++--------- 5 files changed, 20 insertions(+), 21 deletions(-) diff --git a/RecoHGCal/TICL/python/EMStep_cff.py b/RecoHGCal/TICL/python/EMStep_cff.py index 4c69b86b98766..0c3a5b5c497f3 100644 --- a/RecoHGCal/TICL/python/EMStep_cff.py +++ b/RecoHGCal/TICL/python/EMStep_cff.py @@ -18,7 +18,7 @@ # CA - PATTERN RECOGNITION ticlTrackstersEM = _trackstersProducer.clone( - filtered_mask = cms.InputTag("filteredLayerClustersEM", "EM"), + filtered_mask = "filteredLayerClustersEM:EM", original_mask = 'ticlTrackstersTrk', seeding_regions = "ticlSeedingGlobal", filter_on_categories = [0, 1], @@ -46,7 +46,7 @@ filteredLayerClustersHFNoseEM = filteredLayerClustersEM.clone( LayerClusters = 'hgcalLayerClustersHFNose', - LayerClustersInputMask = cms.InputTag("hgcalLayerClustersHFNose","InitialLayerClustersMask"), + LayerClustersInputMask = "hgcalLayerClustersHFNose:InitialLayerClustersMask", iteration_label = "EMn", algo_number = 9 #no tracking mask for EM for now @@ -56,10 +56,10 @@ detector = "HFNose", layer_clusters = "hgcalLayerClustersHFNose", layer_clusters_hfnose_tiles = "ticlLayerTileHFNose", - original_mask = cms.InputTag("hgcalLayerClustersHFNose","InitialLayerClustersMask"), - filtered_mask = cms.InputTag("filteredLayerClustersHFNoseEM","EMn"), + original_mask = "hgcalLayerClustersHFNose:InitialLayerClustersMask", + filtered_mask = "filteredLayerClustersHFNoseEM:EMn", seeding_regions = "ticlSeedingGlobalHFNose", - time_layerclusters = cms.InputTag("hgcalLayerClustersHFNose","timeLayerCluster"), + time_layerclusters = "hgcalLayerClustersHFNose:timeLayerCluster", min_clusters_per_ntuplet = 6 ) diff --git a/RecoHGCal/TICL/python/HADStep_cff.py b/RecoHGCal/TICL/python/HADStep_cff.py index 9f4b726250c03..883f84412b22b 100644 --- a/RecoHGCal/TICL/python/HADStep_cff.py +++ b/RecoHGCal/TICL/python/HADStep_cff.py @@ -19,7 +19,7 @@ # CA - PATTERN RECOGNITION ticlTrackstersHAD = _trackstersProducer.clone( - filtered_mask = cms.InputTag("filteredLayerClustersHAD", "HAD"), + filtered_mask = "filteredLayerClustersHAD:HAD", original_mask = 'ticlTrackstersEM', seeding_regions = "ticlSeedingGlobal", # For the moment we mask everything w/o requirements since we are last diff --git a/RecoHGCal/TICL/python/MIPStep_cff.py b/RecoHGCal/TICL/python/MIPStep_cff.py index 203e28c0c8ae3..da90839a6b90f 100644 --- a/RecoHGCal/TICL/python/MIPStep_cff.py +++ b/RecoHGCal/TICL/python/MIPStep_cff.py @@ -18,7 +18,7 @@ # CA - PATTERN RECOGNITION ticlTrackstersMIP = _trackstersProducer.clone( - filtered_mask = cms.InputTag("filteredLayerClustersMIP", "MIP"), + filtered_mask = "filteredLayerClustersMIP:MIP", seeding_regions = "ticlSeedingGlobal", missing_layers = 3, min_clusters_per_ntuplet = 10, @@ -42,7 +42,7 @@ filteredLayerClustersHFNoseMIP = filteredLayerClustersMIP.clone( LayerClusters = 'hgcalLayerClustersHFNose', - LayerClustersInputMask = cms.InputTag("hgcalLayerClustersHFNose","InitialLayerClustersMask"), + LayerClustersInputMask = "hgcalLayerClustersHFNose:InitialLayerClustersMask", iteration_label = "MIPn", algo_number = 9 ) @@ -51,10 +51,10 @@ detector = "HFNose", layer_clusters = "hgcalLayerClustersHFNose", layer_clusters_hfnose_tiles = "ticlLayerTileHFNose", - original_mask = cms.InputTag("hgcalLayerClustersHFNose","InitialLayerClustersMask"), - filtered_mask = cms.InputTag("filteredLayerClustersHFNoseMIP","MIPn"), + original_mask = "hgcalLayerClustersHFNose:InitialLayerClustersMask", + filtered_mask = "filteredLayerClustersHFNoseMIP:MIPn", seeding_regions = "ticlSeedingGlobalHFNose", - time_layerclusters = cms.InputTag("hgcalLayerClustersHFNose","timeLayerCluster"), + time_layerclusters = "hgcalLayerClustersHFNose:timeLayerCluster", min_clusters_per_ntuplet = 6 ) diff --git a/RecoHGCal/TICL/python/TrkStep_cff.py b/RecoHGCal/TICL/python/TrkStep_cff.py index 686ea18b9032a..ce33a5eab880f 100644 --- a/RecoHGCal/TICL/python/TrkStep_cff.py +++ b/RecoHGCal/TICL/python/TrkStep_cff.py @@ -17,7 +17,7 @@ # CA - PATTERN RECOGNITION ticlTrackstersTrk = _trackstersProducer.clone( - filtered_mask = cms.InputTag("filteredLayerClustersTrk", "Trk"), + filtered_mask = "filteredLayerClustersTrk:Trk", seeding_regions = "ticlSeedingTrk", filter_on_categories = [2, 4], # filter muons and charged hadrons pid_threshold = 0.0, diff --git a/RecoHGCal/TICL/python/ticl_iterations.py b/RecoHGCal/TICL/python/ticl_iterations.py index 09bd7f9e27597..b36d459990c70 100644 --- a/RecoHGCal/TICL/python/ticl_iterations.py +++ b/RecoHGCal/TICL/python/ticl_iterations.py @@ -39,7 +39,7 @@ def TICL_iterations_withReco(process): ) process.trackstersTrk = trackstersProducer.clone( - filtered_mask = cms.InputTag("filteredLayerClustersTrk", "Trk"), + filtered_mask = "filteredLayerClustersTrk:Trk", seeding_regions = "ticlSeedingTrk", missing_layers = 3, min_clusters_per_ntuplet = 5, @@ -64,7 +64,7 @@ def TICL_iterations_withReco(process): ) process.trackstersMIP = trackstersProducer.clone( - filtered_mask = cms.InputTag("filteredLayerClustersMIP", "MIP"), + filtered_mask = "filteredLayerClustersMIP:MIP", seeding_regions = "ticlSeedingGlobal", missing_layers = 3, min_clusters_per_ntuplet = 15, @@ -89,7 +89,7 @@ def TICL_iterations_withReco(process): process.trackstersEM = trackstersProducer.clone( max_out_in_hops = 4, original_mask = "trackstersMIP", - filtered_mask = cms.InputTag("filteredLayerClusters", "algo8"), + filtered_mask = "filteredLayerClusters:algo8", seeding_regions = "ticlSeedingGlobal", missing_layers = 1, min_clusters_per_ntuplet = 10, @@ -103,7 +103,7 @@ def TICL_iterations_withReco(process): process.trackstersHAD = trackstersProducer.clone( - filtered_mask = cms.InputTag("filteredLayerClusters", "algo8"), + filtered_mask = "filteredLayerClusters:algo8", seeding_regions = "ticlSeedingGlobal", missing_layers = 2, min_clusters_per_ntuplet = 10, @@ -144,9 +144,8 @@ def TICL_iterations_withReco(process): process.hgcalValidation.insert(-1, process.ticlPFValidation) if getattr(process,'hgcalValidator'): - process.hgcalValidator.label_lcl = cms.InputTag("hgcalLayerClusters") - process.hgcalValidator.label_mcl = cms.VInputTag(cms.InputTag("multiClustersFromTrackstersEM", "MultiClustersFromTracksterByCA"), cms.InputTag("multiClustersFromTrackstersHAD", "MultiClustersFromTracksterByCA")) - + process.hgcalValidator.label_lcl = "hgcalLayerClusters" + process.hgcalValidator.label_mcl = ["multiClustersFromTrackstersEM:MultiClustersFromTracksterByCA", "multiClustersFromTrackstersHAD:MultiClustersFromTracksterByCA"] process.hgcalValidator.domulticlustersPlots = True return process @@ -171,7 +170,7 @@ def TICL_iterations(process): ) process.trackstersMIP = trackstersProducer.clone( - filtered_mask = cms.InputTag("filteredLayerClustersMIP", "MIP"), + filtered_mask = "filteredLayerClustersMIP:MIP", seeding_regions = "ticlSeedingGlobal", missing_layers = 3, min_clusters_per_ntuplet = 15, @@ -192,7 +191,7 @@ def TICL_iterations(process): process.tracksters = trackstersProducer.clone( original_mask = "trackstersMIP", - filtered_mask = cms.InputTag("filteredLayerClusters", "algo8"), + filtered_mask = "filteredLayerClusters:algo8", seeding_regions = "ticlSeedingGlobal", missing_layers = 2, min_clusters_per_ntuplet = 15,