Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published February 2021 | Published
Journal Article Open

How Hall electric fields intrinsically chaotize and heat ions during collisionless magnetic reconnection

Abstract

The origin of extreme and anomalous ion heating during magnetic reconnection has been a long-standing mystery. It is shown in this paper that, at the core of the process, the stochastic heating mechanism is responsible for this energization. The in-plane Hall electric fields that intrinsically develop during collisionless reconnection not only accelerate ions but also thermalize them by inducing chaotic motion. The mechanism explains various observed features of ion heating, e.g., its relation to the guide field strength and the ion mass-to-charge ratio.

Additional Information

© 2021 Published under license by AIP Publishing. Submitted: 14 December 2020; Accepted: 31 January 2021; Published Online: 23 February 2021. This paper is part of the Special Collection: Papers from the 62nd Annual Meeting of the APS Division of Plasma Physics. Paper BI1 6, Bull. Am. Phys. Soc. 65 (2020). The authors would like to thank Gunsu S. Yun for useful discussions and suggestions. This material is based upon the work supported by the U.S. Department of Energy Office of Science, Office of Fusion Energy Sciences under Award No. DE-FG02-04ER54755, the Air Force Office of Scientific Research under Award No. FA9550–17-1–0023, and the NSF Solar Terrestrial Research Program via Award Grant No. 1914599. The particle-in-cell computations presented here were conducted on the Caltech High Performance Cluster partially supported by a grant from the Gordon and Betty Moore Foundation. Data Availability: The data that support the findings of this study are available from the corresponding author upon reasonable request.

Attached Files

Published - 5-0040374.pdf

Files

5-0040374.pdf
Files (3.4 MB)
Name Size Download all
md5:9d29beb01fe0d6047c1fd856b9cec931
3.4 MB Preview Download

Additional details

Created:
October 3, 2023
Modified:
October 24, 2023