2 papers
physics.acc-ph2026
Machine learning assisted Bayesian calibration of an accelerator digital twin from orbit response data
Christopher Kelly, Kevin A. Brown, Georg H. Hoffstaetter +2
Digital twins of particle accelerators are used to plan and control operations and to design data collection campaigns. Accurate modeling typically requires knowledge of quantities…
physics.acc-ph2023
Bayesian Optimization Algorithms for Accelerator Physics
Ryan Roussel, Auralee L. Edelen, Tobias Boltz +23
Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design and model calibration in simul…