51 citations · 84 across the 11 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
physics.acc-ph2021★ 9 cited
Anomaly Detection in Particle Accelerators using Autoencoders
Jonathan P. Edelen, Nathan M. Cook
The application of machine learning techniques for anomaly detection in particle accelerators has gained popularity in recent years. These efforts have ranged from the analysis of…
physics.acc-ph2021
Modeling of Advanced Accelerator Concepts
J. -L. Vay, A. Huebl, R. Lehe +6
Computer modeling is essential to research on Advanced Accelerator Concepts (AAC), as well as to their design and operation. This paper summarizes the current status and future nee…
physics.acc-ph2021★ 7 cited
Simulations of Future Particle Accelerators: Issues and Mitigations
D. Sagan, M. Berz, N. M. Cook +15
The ever increasing demands placed upon machine performance have resulted in the need for more comprehensive particle accelerator modeling. Computer simulations are key to the succ…