Fast chaos indicator from auto-differentiation for dynamic aperture optimization

Fuente: arXiv
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Main Authors: Qiang, Ji, Wan, Jinyu, Qiang, Allen, Hao, Yue
Format: Preprint
Published: 2025
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author Qiang, Ji
Wan, Jinyu
Qiang, Allen
Hao, Yue
author_facet Qiang, Ji
Wan, Jinyu
Qiang, Allen
Hao, Yue
contents Automatic differentiation provides an efficient means of computing derivatives of complex functions with machine precision, thereby enabling differentiable simulation. In this work, we propose the use of the norm of the tangent map, obtained from differentiable tracking of particle trajectories, as a computationally efficient indicator of chaotic behavior in phase space. In many cases, a one-turn or few-turn tangent map is sufficient for this purpose, significantly reducing the computational cost associated with dynamic aperture optimization. As an illustrative application, the proposed indicator is employed in the dynamic aperture optimization of an ALS-U lattice design.
format Preprint
id arxiv_https___arxiv_org_abs_2510_25196
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Fast chaos indicator from auto-differentiation for dynamic aperture optimization
Qiang, Ji
Wan, Jinyu
Qiang, Allen
Hao, Yue
Accelerator Physics
Automatic differentiation provides an efficient means of computing derivatives of complex functions with machine precision, thereby enabling differentiable simulation. In this work, we propose the use of the norm of the tangent map, obtained from differentiable tracking of particle trajectories, as a computationally efficient indicator of chaotic behavior in phase space. In many cases, a one-turn or few-turn tangent map is sufficient for this purpose, significantly reducing the computational cost associated with dynamic aperture optimization. As an illustrative application, the proposed indicator is employed in the dynamic aperture optimization of an ALS-U lattice design.
title Fast chaos indicator from auto-differentiation for dynamic aperture optimization
topic Accelerator Physics
url https://arxiv.org/abs/2510.25196