30 citations · 58 across the 4 of their papers we have counts for
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physics.space-ph2020★ 30 cited
Toward a Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (a Case Study and Framework for Progress)
Ryan M. McGranaghan, Jack Ziegler, Téo Bloch +7
We advance the modeling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of machine learning (ML) tools to gain…
physics.space-ph2020★ 13 cited
Statistics of Solar Wind Electron Breakpoint Energies Using Machine Learning Techniques
Mayur R. Bakrania, I. Jonathan Rae, Andrew P. Walsh +4
Solar wind electron velocity distributions at 1 au consist of a thermal "core" population and two suprathermal populations: "halo" and "strahl". The core and halo are quasi-isotrop…