102 citations · 718 across the 60 of their papers we have counts for
3 papers · 2 filters
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…
Multi-objective shape optimization of radio frequency cavities using an evolutionary algorithm
Marija Kranjcevic, Andreas Adelmann, Peter Arbenz +2
Radio frequency (RF) cavities are commonly used to accelerate charged particle beams. The shape of the RF cavity determines the resonant electromagnetic fields and frequencies, whi…
Calculation of Longitudinal Collective Instabilities with mbtrack-cuda
Haisheng Xu, Uldis Locans, Andreas Adelmann +1
Macro-particle tracking is a prominent method to study the collective beam instabilities in accelerators. However, the heavy computation load often limits the capability of the tra…