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Description
The beam injection system of the Hefei Advanced Light Source (HALF) utilizes a nonlinear kicker (NLK) based on an 8-conductor geometry. Due to the presence of the internal vacuum chamber and the high sensitivity of the magnetic field distribution to the conductor positions, the design of an 8-conductor NLK demands extreme precision and poses significant technical challenges. To address these issues, an automated design toolchain integrating Opera-2D and Python was developed in this study. A Bayesian optimization algorithm, implemented via the Optuna library, was employed to search for optimal conductor configurations while satisfying stringent constraints on magnetic field quality and spatial positioning. The optimization framework successfully identified a set of feasible design parameters for the HALF NLK within only [40] iterations. Compared with manual iterative methods, this automated approach significantly improves R&D efficiency, providing a generalized tool for 8-conductor NLK design and offering an effective solution for complex optimization problems of non-linear magnets in synchrotron light sources.
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