A Machine Learning Approach to Understanding the Physical Properties of Magnetic Flux Ropes in the Solar Wind at 1 au

A Machine Learning Approach to Understanding the Physical Properties of Magnetic Flux Ropes in the Solar Wind at 1 au

Interplanetary magnetic flux ropes (MFRs) are commonly observed structures in the solar wind, categorized as magnetic clouds (MCs) and small-scale MFRs (SMFRs) depending on whether they are associated with coronal mass ejections. We apply machine learning to systematically compare SMFRs, MCs, and am...

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Bibliographic Details
Main Authors: Hameedullah Farooki, Yasser Abduallah, Sung Jun Noh, Hyomin Kim, George Bizos, Youra Shin, Jason T. L. Wang, Haimin Wang
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Solar wind
Heliosphere
Random Forests
Online Access:https://doi.org/10.3847/1538-4357/ad0c52

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