Use has_ecal_barrel_scfi

benchmarks/imaging_ecal/options/hybrid_cluster.py

@@ -16,10 +16,18 @@ from Configurables import Jug__Reco__ImagingTopoCluster as ImagingTopoCluster
 from Configurables import Jug__Reco__ImagingClusterReco as ImagingClusterReco
 
 detector_name = str(os.environ.get("JUGGLER_DETECTOR", "athena"))
+detector_config = str(os.environ.get("JUGGLER_DETECTOR_CONFIG", detector_name))
 detector_version = str(os.environ.get("JUGGLER_DETECTOR_VERSION", "master"))
 
 detector_path = str(os.environ.get("DETECTOR_PATH", "."))
 
+# Detector features that affect reconstruction
+has_ecal_barrel_scfi = False
+if 'athena' in detector_name:
+    has_ecal_barrel_scfi = True
+if 'ecce' in detector_name and 'imaging' in detector_config:
+    has_ecal_barrel_scfi = True
+
 # input arguments from calibration file
 with open(f'{detector_path}/calibrations/emcal_barrel_calibration.json') as f:
     calib_data = json.load(f)['electron']
@@ -57,7 +65,7 @@ ecal_barrel_scfi_collections = [
     'EcalBarrelScFiHits',
     'EcalBarrelScFiHitsContributions'
 ]
-if 'athena' in detector_name:
+if has_ecal_barrel_scfi:
     sim_colls += ecal_barrel_scfi_collections
 
 # list of algorithms
@@ -68,7 +76,7 @@ algorithms.append(podin)
 
 
 # Central Barrel Ecal
-if 'athena' in detector_name:
+if has_ecal_barrel_scfi:
     # Central ECAL Imaging Calorimeter
 
     # use the same daq_setting for digi/reco pair