A deep surrogate model learns coarse-grained dynamic aperture directly from suitably encoded one-turn maps by treating stability prediction as image segmentation and transfers to realistic EIC tracking.
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Learning Dynamic Aperture from One-turn Maps
A deep surrogate model learns coarse-grained dynamic aperture directly from suitably encoded one-turn maps by treating stability prediction as image segmentation and transfers to realistic EIC tracking.