952 citations · 18.4k across the 303 of their papers we have counts for
307 papers
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…
The Road Ahead for CODEX-b
Giulio Aielli, Juliette Alimena, James Beacham +36
In this Snowmass contribution we present a comprehensive status update on the progress and plans for the proposed CODEX-b detector, intended to search for long-lived particles beyo…
Search for an Axion-Like Particle in B Meson Decays
The BABAR Collaboration
Axion-like particles (ALPs) are predicted in many extensions of the Standard Model, and their masses can naturally be well below the electroweak scale. In the presence of couplings…
Study of the reactions and at center-of-mass energies from threshold to 4.5 GeV using initial-state radiation
BaBar Collaboration
We study the processes and in which an energetic photon is radiated from the initial state. The data were collected with…
Search for Lepton Flavor Violation in
BABAR Collaboration
We report on the first search for electron-muon lepton flavor violation (LFV) in the decay of a ~quark and ~antiquark bound state. We look for the LFV decay $Υ(3S)\rightarrow…