151 citations · 345 across the 9 of their papers we have counts for
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physics.acc-ph2020★ 53 cited
Multi-Objective Bayesian Optimization for Accelerator Tuning
Ryan Roussel, Adi Hanuka, Auralee Edelen
Particle accelerators require constant tuning during operation to meet beam quality, total charge and particle energy requirements for use in a wide variety of physics, chemistry a…
physics.comp-ph2020★ 41 cited
Physics-informed Gaussian Process for Online Optimization of Particle Accelerators
Adi Hanuka, X. Huang, J. Shtalenkova +5
High-dimensional optimization is a critical challenge for operating large-scale scientific facilities. We apply a physics-informed Gaussian process (GP) optimizer to tune a complex…