51 citations · 70 across the 5 of their papers we have counts for
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physics.space-ph2021★ 1 cited
A novel machine learning technique to identify and categorize plasma waves in spacecraft measurements
Daniel Vech, David M. Malaspina
The available magnetic field data from the terrestrial magnetosphere, solar wind and planetary magnetospheres exceeds over hours. Identifying plasma waves in these large dat…
physics.space-ph2021★ 4 cited
A powerful machine learning technique to extract proton core, beam and alpha-particle parameters from velocity distribution functions in space plasmas
Daniel Vech, Michael L. Stevens, Kristoff W. Paulson +4
Context: The analysis of the thermal part of velocity distribution functions (VDF) is fundamentally important for understanding the kinetic physics that governs the evolution and d…