Update the Calo Clustering algorithm in HLT1

We aim to improve the current calo clustering algorithm in Allen adding a "shower overlap"-like function.

The proposed implementation improves the hlt1_reco_allen_calo_efficiency Moore test as follows:

• 1000 evts: Reference 84.7+-1.7 ; MR 85.4+-1.7
• 40k evts: Reference 80.5+-0.3 ; MR 81.7+-0.3

The changes in the efficiency tests are not significant when testing with bigger event bunches and are expected since the reconstructed cluster values have changed.

configuration/python/AllenConf/HLT1.py

@@ -32,6 +32,8 @@ from AllenConf.lumi_reconstruction import lumi_reconstruction
 from AllenConf.plume_reconstruction import decode_plume
 from AllenConf.enum_types import TrackingType, includes_matching
 
+from AllenConf.calo_reconstruction import make_ecal_clusters, decode_calo
+
 
 def default_physics_lines(reconstructed_objects, with_calo, with_muon,
                           with_v0s):
@@ -789,6 +791,7 @@ def setup_hlt1_node(enablePhysics=True,
 
     hlt1_node = CompositeNode(
         "Allen", [
+            make_ecal_clusters(decode_calo())["dev_ecal_clusters"].producer,
             lines,
             dec_reporter,
             global_decision,