Improving the automated coronal jet identification with U-NET

Liu 刘, J佳 orcid.org/0000-0003-2569-1840, Ji 季, C春 orcid.org/0009-0006-4430-7882, Wang 王, Y宜 orcid.org/0000-0002-8835-3825 et al. (5 more authors) (2024) Improving the automated coronal jet identification with U-NET. The Astrophysical Journal, 972 (2). 187. ISSN 0004-637X

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Item Type: Article
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© 2024. The Author(s). 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. http://creativecommons.org/licenses/by/4.0/

Keywords: Solar activity (1475); Plasma jets (1263); Neural networks (1933); Observational astronomy (1145); Astronomy image processing (2306); Solar cycle (1487)
Dates:
  • Published: 10 September 2024
  • Published (online): 9 September 2024
  • Accepted: 21 July 2024
  • Submitted: 24 January 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematical and Physical Sciences
Depositing User: Symplectic Sheffield
Date Deposited: 17 Sep 2024 08:04
Last Modified: 17 Sep 2024 08:04
Status: Published
Publisher: American Astronomical Society
Refereed: Yes
Identification Number: 10.3847/1538-4357/ad66be
Open Archives Initiative ID (OAI ID):

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