952 citations · 18.4k across the 303 of their papers we have counts for
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hep-ex2023★ 1 cited
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…
hep-ex2023★ 2 cited
Comparing and improving hybrid deep learning algorithms for identifying and locating primary vertices
Simon Akar, Michael Peters, Henry Schreiner +2
Using deep neural networks to identify and locate proton-proton collision points, or primary vertices, in LHCb has been studied for several years. Preliminary results demonstrated…