Identification of Electron Diffusion Regions with a Machine Learning Approach on MMS Data at the Earth's Magnetopause

Identification of Electron Diffusion Regions with a Machine Learning Approach on MMS Data at the Earth's Magnetopause

Abstract This article presents 18 magnetic reconnection electron diffusion region (EDR) candidates found using a neural network algorithm with the Magnetospheric Multiscale Mission phase 1a data at the Earth's dayside magnetopause. These new candidates are compared to the 32 previously reported...

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Bibliographic Details
Main Authors: Q. Lenouvel, V. Génot, P. Garnier, S. Toledo‐Redondo, B. Lavraud, N. Aunai, G. Nguyen, D. J. Gershman, R. E. Ergun, P.‐A. Lindqvist, B. Giles, J. L. Burch
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-05-01
Series:Earth and Space Science
Subjects:
EDR
machine learning
magnetic reconnection
magnetopause
MMS
neural network
Online Access:https://doi.org/10.1029/2020EA001530

Internet

https://doi.org/10.1029/2020EA001530

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