Speaker
Description
The design of low-energy beam transport (LEBT) lines involves high-dimensional optimization under multiple physical constraints, including beam size, transmission efficiency, and limited beamline geometry. In the RAON injector system, the integration of a new 14.5 GHz ECR ion source requires re-optimization of the beam transport line while maintaining compatibility with the existing injector configuration. In this study, Bayesian optimization (BO) is applied to the constrained design of a new ECR beam transport line for the RAON injector. Experimentally measured initial beam parameters from the Allison scanner are incorporated into beam dynamics simulations to reflect realistic operating conditions. A two-stage optimization strategy is employed to efficiently identify feasible solutions and improve beam matching performance within the constrained parameter space. The optimized beamline configuration satisfies the operational constraints of the RAON LEBT system while achieving improved beam matching performance. The results demonstrate that BO provides an effective approach for constrained beam transport line design problems.
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