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Direct Evidence of Magnetic Reconnection Onset via the Tearing Instability

Bakrania, Mayur R; Rae, I Jonathan; Walsh, Andrew P; Verscharen, Daniel; Smith, Andy W; Forsyth, Colin; Tenerani, Anna; (2022) Direct Evidence of Magnetic Reconnection Onset via the Tearing Instability. Frontiers in Astronomy and Space Science , 9 , Article 869491. 10.3389/fspas.2022.869491. Green open access

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Abstract

Magnetic reconnection is a sporadic process responsible for energy release in space and laboratory plasmas. It is believed that the tearing mode instability may be responsible for the onset of reconnection in the magnetotail. However, due to its elusive nature, there is an absence of in-situ observations of the tearing instability prior to magnetic reconnection in our nearest natural plasma laboratory. Using neural network outlier detection methods in conjunction with Cluster spacecraft data, we find unique electron pitch angle distributions that are consistent with simulation predictions of the tearing instability and the subsequent evolution of plasma electrons and reconnection. We confirm that the events identified via our neural network outlier method are well above the tearing stability threshold based on the criterion detailed in this paper. We find signatures of magnetic reconnection minutes after the majority of tearing observations. Our analysis of the tearing instability provides new insights into the fundamental understanding of the mechanism responsible for reconnection, a process that is ubiquitous in different astrophysical plasma regimes across the universe and in laboratory experiments on Earth.

Type: Article
Title: Direct Evidence of Magnetic Reconnection Onset via the Tearing Instability
Open access status: An open access version is available from UCL Discovery
DOI: 10.3389/fspas.2022.869491
Publisher version: https://doi.org/10.3389/fspas.2022.869491
Language: English
Additional information: © 2022 Bakrania, Rae, Walsh, Verscharen, Smith, Forsyth and Tenerani. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
Keywords: space plasma environments, magnetic reconnection, tearing instability, neural network techniques, outlier detection
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics
URI: https://discovery.ucl.ac.uk/id/eprint/10159432
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