Evaluating Solar Convection Velocity Using Machine Learning and Numerical Simulation
Author:
Affiliation:
1. 千葉大学理学部物理学科
Publisher
The Japanese Society for Multiphase Flow
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjmf/35/3/35_2021.T010/_pdf
Reference10 articles.
1. [1] November, L. J. and Simon, G. W., Precise Proper-Motion Measurement of Solar Granulation, The Astrophysical Journal, Vol. 333, 427-442 (1988).
2. [2] Asensio R., A., Requerey, I. S. and Vitas, N., DeepVel: Deep Learning for the Estimation of Horizontal Velocities at the Solar Surface, Astronomy and Astrophysics, Vol. 604, A11 (2017).
3. [3] Tremblay, B. and Attie, R., Inferring Plasma Flows at Granular and Supergranular Scales with a New Architecture for the DeepVel Neural Network, Frontiers in Astronomy and Space Sciences, Vol. 7, 25 (2020).
4. [4] Berger, T. E., Löfdahl, M. G., Shine, R. S. and Title, A. M., Measurements of Solar Magnetic Element Motion from High-Resolution Filtergrams, The Astrophysical Journal, Vol. 495, 973-983 (1998).
5. [5] Nindos, A., Zhang, J. and Zhang, H., The Magnetic Helicity Budget of Solar Active Regions and Coronal Mass Ejections, The Astrophysical Journal, Vol. 594, 1033-1048 (2003).
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