3 citations · 6 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
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…
Progress in developing a hybrid deep learning algorithm for identifying and locating primary vertices
Simon Akar, Gowtham Atluri, Thomas Boettcher +7
The locations of proton-proton collision points in LHC experiments are called primary vertices (PVs). Preliminary results of a hybrid deep learning algorithm for identifying and lo…