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| WEZAS0106 |
Methods and Experiences of Automated Tuning of Accelerators |
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- X. Huang
SLAC, Menlo Park, California, USA
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Automated tuning, or beam-based optimization, is a general approach to improve accelerator performances. The approach is different from the other common approach of beam-based correction. The differences between these two approaches and the advantages of the optimization approach are discussed. Two online optimization methods, the robust conjugate direction search (RCDS) and the multi-generation Gaussian process optimizer (MG-GPO), are described. Experiences of apply the methods to storage ring nonlinear dynamics optimization at SPEAR3 and APS storage rings, as well as application to other machines, are presented.
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Slides WEZAS0106 [2.706 MB]
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| DOI • |
reference for this paper
※ doi:10.18429/JACoW-eeFACT2022-WEZAS0106
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| About • |
Received ※ 21 October 2022 — Revised ※ 04 February 2023 — Accepted ※ 08 February 2023 — Issue date ※ 18 February 2023 |
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