A Machine Learning–Based Approach to Time-series Wave Identification in the Solar Wind

A Machine Learning–Based Approach to Time-series Wave Identification in the Solar Wind

The Wind spacecraft has yielded several decades of high-resolution magnetic field data, a large fraction of which displays small-scale structures. In particular, the solar wind is full of wavelike fluctuations that appear in both the field magnitude and its components. The nature of these fluctuatio...

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Bibliographic Details
Main Authors: Samuel Fordin, Michael Shay, Lynn B. Wilson III, Bennett Maruca, Barbara J. Thompson
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal
Subjects:
Solar wind
Interplanetary physics
Space weather
Space plasmas
Neural networks
Convolutional neural networks
Online Access:https://doi.org/10.3847/1538-4357/acc8d5

Internet

https://doi.org/10.3847/1538-4357/acc8d5

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