Resolve "CI pipeline with AMEGO-X type EMCal Barrel"

Closes #9 (closed)

calorimeters/options/emcal_barrel_reco.py

@@ -10,9 +10,11 @@ from GaudiKernel.DataObjectHandleBase import DataObjectHandleBase
 from Configurables import ApplicationMgr, EICDataSvc, PodioOutput, GeoSvc
 from GaudiKernel import SystemOfUnits as units
 
+#directory_name = "calorimeters"
 detector_name = "topside"
 if "JUGGLER_DETECTOR" in os.environ :
   detector_name = str(os.environ["JUGGLER_DETECTOR"])+"/"+detector_name
+  #detector_name = directory_name+"/"+str(os.environ["JUGGLER_DETECTOR"])
 
 input_sim_file = "jug_input.root"
 if "JUGGLER_SIM_FILE" in os.environ :
@@ -62,23 +64,28 @@ embarreldigi = EcalTungstenSamplingDigi("ecal_barrel_digi",
         outputHitCollection="RawEcalBarrelHits",
         inputEnergyUnit=units.GeV,
         inputTimeUnit=units.ns,
+        DynamicRangeADC=700*units.keV, 
+        energyResolutions=[0., 0.02, 0.], 
+        pedestalSigma=50,
         OutputLevel=DEBUG)
 # Reconstruction
 embarrelreco = EcalTungstenSamplingReco("ecal_barrel_reco", 
         inputHitCollection="RawEcalBarrelHits", 
         outputHitCollection="RecoEcalBarrelHits",
+        DynamicRangeADC=700*units.keV, 
+        pedestalSigma=50,
         OutputLevel=DEBUG)
 # 2D+1 Clusterings
 # readout id definition for barrel ecal
-# <id>system:8,barrel:3,module:4,layer:6,slice:5,x:32:-16,y:-16</id>
-# xy_merger sum layers/slices, masking (8+3+4, 8+3+4+5+6-1)
+# <id>system:8,barrel:3,module:4,layer:10,slice:5,x:32:-16,y:-16</id>
+# xy_merger sum layers/slices, masking (8+3+4, 8+3+4+5+10-1)
 embarrelxymerger = SamplingECalHitsMerger("ecal_barrel_xy_merger",
-        cellIDMaskRanges=[(15, 25)],
+        cellIDMaskRanges=[(15, 29)],
         inputHitCollection="RecoEcalBarrelHits",
         outputHitCollection="RecoEcalBarrelHitsXY")
-# xy_merger sum modules, masking (8+3+4+5+6, 8+3+4+5+6+32-1)
+# xy_merger sum modules, masking (8+3+4+5+10, 8+3+4+5+10+32-1)
 embarrelzmerger = SamplingECalHitsMerger("ecal_barrel_z_merger",
-        cellIDMaskRanges=[(26, 57)],
+        cellIDMaskRanges=[(30, 61)],
         inputHitCollection="RecoEcalBarrelHits",
         outputHitCollection="RecoEcalBarrelHitsZ")
 # Clustering