- Letter
- Open Access
Efficient dynamic and momentum aperture optimization for lattice design using multipoint Bayesian algorithm execution
Phys. Rev. Accel. Beams 29, L102001 – Published 1 October, 2026
DOI: https://doi.org/10.1103/4t6l-7jmg
Abstract
We demonstrate that multipoint Bayesian algorithm execution (multipointBAX) can overcome fundamental computational challenges in storage ring design optimization. Dynamic aperture and momentum aperture optimization is a multipoint, multiobjective design task for storage rings, ultimately informing the flux of x-ray sources and luminosity of colliders. Current production black-box optimization methods require extensive particle-tracking simulations for each trial configuration; the high computational cost restricts the extent of the search to configurations and therefore limits the quality of the final design. We remove this bottleneck using multipointBAX, which selects, simulates, and models each trial configuration at the single-particle level. We demonstrate our approach on a design for a fourth-generation light source, with neural-network-powered multipointBAX achieving equivalent Pareto front results using more than 2 orders of magnitude fewer tracking computations compared to genetic algorithms. The significant reduction in cost positions multipointBAX as a promising alternative to black-box optimization, and we anticipate multipointBAX will be instrumental in the design of future light sources, colliders, and large-scale scientific facilities.
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