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Predicting the Appearance of Sunspots on the Solar Surface Using Machine Learning
Document ID
20230016273
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Spiridon Kasapis
(Oak Ridge Associated Universities Oak Ridge, United States)
Irina Kitiashvili
(Ames Research Center Mountain View, United States)
Date Acquired
November 8, 2023
Subject Category
Solar Physics
Computer Programming and Software
Meeting Information
Meeting:
International Conference for High Performance Computing, Networking, Storage, and Analysis (SC23)
Location:
Denver, CO
Country:
US
Start Date:
November 12, 2023
End Date:
November 17, 2023
Sponsors:
Association for Computing Machinery
Funding Number(s)
WBS: 791926.02.09.02.03
CONTRACT_GRANT: 80HQTR21CA005
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
SMD
Heliophysics
Available Downloads
Name
Type
Flux_Emerge_SC23.pdf
STI
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