24 citations · 28 across the 3 of their papers we have counts for
3 papers · 1 filter
OPAL a Versatile Tool for Charged Particle Accelerator Simulations
Andreas Adelmann, Pedro Calvo, Matthias Frey +9
Many sophisticated computer models have been developed to understand the behaviour of particle accelerators. Even these complex models often do not describe the measured data. Inte…
Matching of turn pattern measurements for cyclotrons using multi-objective optimization
Matthias Frey, Jochem Snuverink, Christian Baumgarten +1
The usage of numerical models to study the evolution of particle beams is an essential step in the design process of particle accelerators However, uncertainties of input quantitie…
Machine Learning for Orders of Magnitude Speedup in Multi-Objective Optimization of Particle Accelerator Systems
Auralee Edelen, Nicole Neveu, Yannick Huber +3
High-fidelity physics simulations are powerful tools in the design and optimization of charged particle accelerators. However, the computational burden of these simulations often l…