Modeling Radiation Belt Electrons With Information Theory Informed Neural Networks

Abstract An empirical model of radiation belt relativistic electrons (μ = 560–875 MeV G−1 and I = 0.088–0.14 RE G0.5) with average energy ∼1.3 MeV is developed. The model inputs solar wind parameters (velocity, density, interplanetary magnetic field (IMF) |B|, Bz, and By), magnetospheric state param...

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Autori principali:	Simon Wing, Drew L. Turner, Aleksandr Y. Ukhorskiy, Jay R. Johnson, Thomas Sotirelis, Romina Nikoukar, Giuseppe Romeo
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Wiley 2022-08-01
Serie:	Space Weather
Soggetti:	radiation belt relativistic electrons solar wind drivers machine learning information theory empirical model
Accesso online:	https://doi.org/10.1029/2022SW003090
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