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physics.acc-ph2022
Prior-mean-assisted Bayesian optimization application on FRIB Front-End tunning
Kilean Hwang, Tomofumi Maruta, Alexander Plastun +5
Bayesian optimization~(BO) is often used for accelerator tuning due to its high sample efficiency. However, the computational scalability of training over large data-set can be pro…
physics.acc-ph2016★ 2 cited
The Fast Linear Accelerator Modeling Engine for FRIB Online Model Service
Z. He, J. Bengtsson, M. Davidsaver +3
Commissioning of a large accelerator facility like FRIB needs support from an online beam dynamics model. Considering the new physics challenges of FRIB such as modeling of non-axi…