92 citations · 262 across the 12 of their papers we have counts for
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physics.acc-ph2018
Opportunities in Machine Learning for Particle Accelerators
Auralee Edelen, Christopher Mayes, Daniel Bowring +10
Machine learning (ML) is a subfield of artificial intelligence. The term applies broadly to a collection of computational algorithms and techniques that train systems from raw data…
physics.comp-ph2018★ 92 cited
BDSIM: An Accelerator Tracking Code with Particle-Matter Interactions
Laurence Nevay, Jochem Snuverink, Andrey Abramov +8
Beam Delivery Simulation (BDSIM) is a program that simulates the passage of particles in a particle accelerator. It uses a suite of standard high energy physics codes (Geant4, ROOT…