Inferring Plasma Flows at Granular and Supergranular Scales With a New Architecture for the DeepVel Neural Network
The wealth of observational data available has been instrumental in investigating physical features relevant to solar granulation, supergranulation and Active Regions. Meanwhile, numerical models have attempted to bridge the gap between the physics of the solar interior and such observations. Howeve...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-06-01
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Series: | Frontiers in Astronomy and Space Sciences |
Subjects: | |
Online Access: | https://www.frontiersin.org/article/10.3389/fspas.2020.00025/full |