Journal article
Surrogate modeling of the CLIC final-focus system using artificial neural networks
- Abstract:
- Artificial neural networks can be used for creating surrogate models that can replace computationally expensive simulations. In this paper, a surrogate model was created for a subset of the Compact Linear Collider (CLIC) final-focus system. By training on simulation data, we created a model that maps sextupole offsets to luminosity and beam sizes, thus replacing computationally intensive tracking and beam-beam simulations. This model was then used for optimizing the parameters of a random walk procedure for sextupole alignment.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.3MB, Terms of use)
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- Publisher copy:
- 10.1088/1748-0221/16/05/P05012
Authors
- Publisher:
- IOP Publishing
- Journal:
- Journal of Instrumentation More from this journal
- Volume:
- 16
- Issue:
- 5
- Article number:
- P05012
- Publication date:
- 2021-05-12
- Acceptance date:
- 2021-02-26
- DOI:
- EISSN:
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1748-0221
- Language:
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English
- Keywords:
- Pubs id:
-
1184352
- Local pid:
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pubs:1184352
- Deposit date:
-
2023-12-17
Terms of use
- Copyright holder:
- CERN
- Copyright date:
- 2021
- Rights statement:
- © 2021 CERN. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
- Licence:
- CC Attribution (CC BY)
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