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...

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Bibliographic Details
Main Authors: Benoit Tremblay, Raphaël Attie
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fspas.2020.00025/full