Application of ensemble machine learning algorithms and filtering techniques in slow orbit feedback...
Application of ensemble machine learning algorithms and filtering techniques in slow orbit feedback systems of electron storage rings
About this item
Full title
Author / Creator
Fan, Jiaqi , Liu, Weibin , Wang, Jiuqing , Wei, Yanru , Wei, Yuanyuan and Ji, Daheng
Publisher
American Physical Society
Journal title
Language
English
Formats
Publication information
Publisher
American Physical Society
More information
Scope and Contents
Contents
Orbit stability is a critical performance metric for modern synchrotron radiation facilities and colliders, necessitating effective orbit correction and slow orbit feedback systems. In recent years, innovative orbit feedback methods leveraging neural networks have been progressively implemented, demonstrating improved performance. BEPCII has also a...
Alternative Titles
Full title
Application of ensemble machine learning algorithms and filtering techniques in slow orbit feedback systems of electron storage rings
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_4bcc278224124c26b028eb12ab1b44fa
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_4bcc278224124c26b028eb12ab1b44fa
Other Identifiers
ISSN
2469-9888
E-ISSN
2469-9888
DOI
10.1103/PhysRevAccelBeams.28.042801
