2 citations · 4 across the 7 of their papers we have counts for
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Auto-tuning capabilities of the ACTS track reconstruction suite
Corentin Allaire, Rocky Bala Garg, Hadrien Benjamin Grasland +5
The reconstruction of charged particle trajectories is a crucial challenge of particle physics experiments as it directly impacts particle reconstruction and physics performances.…
Training and Onboarding initiatives in High Energy Physics experiments
S. Hageboeck, A. Reinsvold Hall, N. Skidmore +16
In this paper we document the current analysis software training and onboarding activities in several High Energy Physics (HEP) experiments: ATLAS, CMS, LHCb, Belle II and DUNE. Fa…
Potentiality of automatic parameter tuning suite available in ACTS track reconstruction software framework
Rocky Bala Garg, Corentin Allaire, Andreas Salzburger +3
Particle tracking is among the most sophisticated and complex part of the full event reconstruction chain. A number of reconstruction algorithms work in a sequence to build these t…
Advances in developing deep neural networks for finding primary vertices in proton-proton collisions at the LHC
Simon Akar, Mohamed Elashri, Rocky Bala Garg +6
We are studying the use of deep neural networks (DNNs) to identify and locate primary vertices (PVs) in proton-proton collisions at the LHC. Earlier work focused on finding primary…