Výsledky vyhledávání

Report

Relativistic electron flux model in the outer radiation belt using a neural network approach

Autor: Chu, Xiangning, Ma, Donglai, Bortnik, Jacob, Tobiska, W. Kent, Cruz, Alfredo, Bouwer, S. Dave, Zhao, Hong, Ma, Qianli, Zhang, Kun, Baker, Daniel N., Li, Xinlin, Spence, Harlan, Reeves, Geoff

We present a machine-learning-based model of relativistic electron fluxes >1.8 MeV using a neural network approach in the Earth's outer radiation belt. The Outer RadIation belt Electron Neural net model for Relativistic electrons (ORIENT-R) uses only

Externí odkaz: http://arxiv.org/abs/2109.10532

Zobrazit plný text záznamu

Report

Modeling the dynamic variability of sub-relativistic outer radiation belt electron fluxes using machine learning

Autor: Ma, Donglai, Chu, Xiangning, Bortnik, Jacob, Claudepierre, Seth G., Tobiska, W. Kent, Cruz, Alfredo, Bouwer, S. Dave, Fennell, J. F., Blake, J. B.

Publikováno v: Space Weather, 20, e2022SW003079

We present a set of neural network models that reproduce the dynamics of electron fluxes in the range of 50 keV $\sim$ 1 MeV in the outer radiation belt. The Outer Radiation belt Electron Neural net model for Medium energy electrons(ORIENT-M) uses on

Externí odkaz: http://arxiv.org/abs/2109.08647

Zobrazit plný text záznamu