Probing the solar coronal magnetic field with physics-informed neural networks
Author:
Funder
EC | Horizon 2020 Framework Programme
Austrian Science Fund
Publisher
Springer Science and Business Media LLC
Subject
Astronomy and Astrophysics
Link
https://www.nature.com/articles/s41550-023-02030-9.pdf
Reference48 articles.
1. Wiegelmann, T., Petrie, G. J. D. & Riley, P. Coronal magnetic field models. Space Sci. Rev. 210, 249–274 (2017).
2. Green, L. M., Török, T., Vršnak, B., Manchester, W. & Veronig, A. The origin, early evolution and predictability of solar eruptions. Space Sci. Rev. 214, 46 (2018).
3. Wiegelmann, T. & Sakurai, T. Solar force-free magnetic fields. Living Rev. Sol. Phys. 18, 1 (2021).
4. Metcalf, T. R., Jiao, L., McClymont, A. N., Canfield, R. C. & Uitenbroek, H. Is the solar chromospheric magnetic field force-free? Astrophys. J. 439, 474 (1995).
5. Wiegelmann, T., Inhester, B. & Sakurai, T. Preprocessing of vector magnetograph data for a nonlinear force-free magnetic field reconstruction. Sol. Phys. 233, 215–232 (2006).
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