4 citations · 8 across the 2 of their papers we have counts for
2 papers
physics.acc-ph2023★ 4 cited
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…
physics.acc-ph2022★ 4 cited
An optimization method to compensate accelerator performance drifts
Zhe Zhang, Minghao Song, Xiaobiao Huang
Accelerator performance often deteriorates with time during a long period of operation due to secular changes in the machine components or the surrounding environment. In many case…