Classification of Cassini’s Orbit Regions as Magnetosphere, Magnetosheath, and Solar Wind via Machine Learning

Classification of Cassini’s Orbit Regions as Magnetosphere, Magnetosheath, and Solar Wind via Machine Learning

Several machine learning algorithms and feature subsets from a variety of particle and magnetic field instruments on-board the Cassini spacecraft were explored for their utility in classifying orbit segments as magnetosphere, magnetosheath or solar wind. Using a list of manually detected magnetopaus...

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Bibliographic Details
Main Authors: Kiley L. Yeakel, Jon D. Vandegriff, Tadhg M. Garton, Caitriona M. Jackman, George Clark, Sarah K. Vines, Andrew W. Smith, Peter Kollmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
recurrent neural network (RNN) long short-term memory (LSTM)
random forest
machine learning
magnetosphere
boundary crossings
Saturn
Online Access:https://www.frontiersin.org/articles/10.3389/fspas.2022.875985/full

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https://www.frontiersin.org/articles/10.3389/fspas.2022.875985/full

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