32 citations · 32 across the 3 of their papers we have counts for
3 papers
physics.space-ph2023
Properties of Mars' Dayside Low-Altitude Induced Magnetic Field and Comparisons with Venus
Susanne Byrd, Zachary Girazian
Our research objective is to characterize Mars' low-altitude (250 km) induced magnetic fields using data from NASA's MAVEN (Mars Atmosphere and Volatile EvolutioN) Mission. We aim…
astro-ph.SR2022
Machine Learning Solar Wind Driving Magnetospheric Convection in Tail Lobes
Xin Cao, Jasper S. Halekas, Stein Haaland +2
To quantitatively study the driving mechanisms of magnetospheric convection in the magnetotail lobes on a global scale, we utilize data from the ARTEMIS spacecraft in the deep tail…
astro-ph.IM2020★ 32 cited
Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
Abigail R. Azari, John B. Biersteker, Ryan M. Dewey +13
Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets. Despite the increasing volume of planetary observations, our field has seen…