Document Type

Article

Publication Date

2026

DOI

10.1103/4t6l-7jmg

Publication Title

Physical Review Accelerators and Beams

Volume

29

Issue

10

Pages

L102001 (8 pp.)

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 ~ 10³ 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 blackbox optimization, and we anticipate multipointBAX will be instrumental in the design of future light sources, colliders, and large-scale scientific facilities.

Rights

© 2026 The American Physical Society.

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License. Further distribution of this work must maintain attribution to the authors and the published article's title, journal citation, and DOI

Data Availability

Article states: "The data and code that support the findings of this study will be made publicly available in a repository upon publication of this letter."

Original Publication Citation

Zhang, Z., Agapov, I., Gasiorowski, S., Hellert, T., Neiswanger, W., Huang, X., & Ratner, D. (2026). Efficient dynamic and momentum aperture optimization for lattice design using multipoint bayesian algorithm execution. Physical Review Accelerators and Beams, 29(10), Article L102001. https://doi.org/10.1103/4t6l-7jmg 

ORCID

0000-0002-5747-7323 (Ratner)

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