Optionally deploy HGTD clusterization algorithm with new xAOD EDM

Optionally deploy HGTD clusterization algorithm with new xAOD EDM

HighGranularityTimingDetector/HGTD_Config/python/HGTD_ConfigFlags.py

@@ -6,6 +6,7 @@ def createHGTD_ConfigFlags():
   hgtdcf = AthConfigFlags()
 
   hgtdcf.addFlag('HGTD.doMonitoring', False)
+  hgtdcf.addFlag('HGTD.doActs', False)
   
   hgtdcf.addFlag("HGTD.Geometry.useGeoModelXml", True)
   hgtdcf.addFlag("HGTD.Geometry.isLocal", False)

HighGranularityTimingDetector/HGTD_Config/python/HGTD_RecoConfig.py

@@ -7,9 +7,20 @@ def HGTD_RecoCfg(flags):
     (currently only decorates tracks with relevant info) """
     result = ComponentAccumulator()
 
-    from HGTD_Config.HGTD_PrepRawDataFormationConfig import PadClusterizationCfg
-    result.merge(PadClusterizationCfg(flags))
+    # We can do clusterization using Acts algorithm
+    # In so, we then need to schedule the cluster EDM converter
+    # to provide the same inputs to the downstream algorithms that
+    # still do not support ACTS reconstruction
+    if not flags.HGTD.doActs:
+        from HGTD_Config.HGTD_PrepRawDataFormationConfig import PadClusterizationCfg
+        result.merge(PadClusterizationCfg(flags))
+    else:
+        from ActsConfig.ActsClusterizationConfig import ActsHgtdClusterizationAlgCfg
+        result.merge(ActsHgtdClusterizationAlgCfg(flags))
 
+        from InDetConfig.InDetPrepRawDataFormationConfig import HGTDXAODToInDetClusterConversionCfg
+        result.merge(HGTDXAODToInDetClusterConversionCfg(flags))
+        
     from HGTD_Config.HGTD_TrackTimeExtensionConfig import TrackTimeExtensionCfg
     result.merge(TrackTimeExtensionCfg(flags))