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.
Iadarolaet al., Xsuite: An Integrated Beam Physics Simulation Framework, JACoWHB2023, TUA2I1 (2024), arXiv:2310.00317 [physics.acc-ph]
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A new comprehensive lattice description schema and start-to-end simulation framework for particle accelerators that enables seamless use across multiple simulation codes.
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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.
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A flexible start-to-end simulation framework for particle accelerators based on a comprehensive lattice description
A new comprehensive lattice description schema and start-to-end simulation framework for particle accelerators that enables seamless use across multiple simulation codes.