87 citations · 123 across the 13 of their papers we have counts for
4 papers · 1 filter
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.…
Photon-rejection Power of the Light Dark Matter eXperiment in an 8 GeV Beam
Torsten Åkesson, Cameron Bravo, Liam Brennan +44
The Light Dark Matter eXperiment (LDMX) is an electron-beam fixed-target experiment designed to achieve comprehensive model independent sensitivity to dark matter particles in the…
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…