activity
20232026
most citedComparing and improving hybrid deep learning algorithms for identifying and locating primary vertices

2 citations · 4 across the 4 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…