Efficient dynamic and momentum aperture optimization for lattice design using multipoint Bayesian algorithm execution
Z. Zhang, I. Agapov, S. Gasiorowski, T. Hellert, W. Neiswanger, X. Huang, and D. Ratner
Phys. Rev. Accel. Beams 29, L102001 (2026) - Published 1 October, 2026
Dynamic and momentum apertures are a critical parameter of storage rings, limiting the flux of x-ray sources and the luminosity of colliders. Traditional optimizers must track thousands of particles for each lattice, severely limiting the design search. MultipointBAX instead tracks single particles, each selected based on a neural-network model of the stability maps. On a fourth-generation light-source design, MultipointBAX matches a genetic-algorithm Pareto front with over two orders of magnitude fewer tracking simulations, a gain that should extend to future light sources, colliders and other large facilities, enabling more complex and higher-performance designs.




