Prediction of soft protons in the near-Earth space using machine learning

Kronberg, Elena A.; Ilie, R.; Smirnov, A.; Gastaldello, F.; Haaland, Stein; Berrendorf, M.; Huang, Y.; Daly, Patrick W.; Ghizzardi, S.; Allen, R. C.

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Prediction of soft protons in the near-Earth space using machine learning

Kronberg, E. A., Ilie, R., Smirnov, A., Gastaldello, F., Haaland, S., Berrendorf, M., et al. (2019). Prediction of soft protons in the near-Earth space using machine learning. Poster presented at Machine Learning in Heliophysics, Amsterdam, Netherlands.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-0005-4C3D-3 Versions-Permalink: https://hdl.handle.net/21.11116/0000-0005-4C3E-2

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Urheber:
Kronberg, Elena A.¹, Autor
Ilie, R., Autor
Smirnov, A., Autor
Gastaldello, F., Autor
Haaland, Stein¹, Autor
Berrendorf, M., Autor
Huang, Y., Autor
Daly, Patrick W.¹, Autor
Ghizzardi, S., Autor
Allen, R. C., Autor

Affiliations:
1Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society, ou_1832288