5 citations · 9 across the 3 of their papers we have counts for
4 papers
Online tuning and light source control using a physics-informed Gaussian process Adi
A. Hanuka, J. Duris, J. Shtalenkova +4
Operating large-scale scientific facilities often requires fast tuning and robust control in a high dimensional space. In this paper we introduce a new physics-informed optimizatio…
Machine learning for design optimization of storage ring nonlinear dynamics
Faya Wang, Minghao Song, Auralee Edelen +1
A novel approach to expedite design optimization of nonlinear beam dynamics in storage rings is proposed and demonstrated in this study. At each iteration, a neural network surroga…
Multi-objective multi-generation Gaussian process optimizer for design optimization
Xiaobiao Huang, Minghao Song, Zhe Zhang
We present a multi-objective evolutionary optimization algorithm that uses Gaussian process (GP) regression-based models to select trial solutions in a multi-generation iterative p…
Numerical optimization of a low emittance lattice cell
Tong Zhang, Xiaobiao Huang
In the lattice designs for the next generation storage ring light sources, longitudinal gradient bending magnets and anti-bending magnets have been adopted. A logical question rais…