Marginally stable current sheets in collisionless magnetic reconnection.


Journal

Physical review. E
ISSN: 2470-0053
Titre abrégé: Phys Rev E
Pays: United States
ID NLM: 101676019

Informations de publication

Date de publication:
Oct 2022
Historique:
received: 09 06 2022
accepted: 27 09 2022
entrez: 18 11 2022
pubmed: 19 11 2022
medline: 19 11 2022
Statut: ppublish

Résumé

Noncollisional current sheets that form during the nonlinear development of spontaneous magnetic reconnection are characterized by a small thickness, of the order of the electron skin depth. They can become unstable to the formation of plasmoids, which allows the magnetic reconnection process to reach high reconnection rates. In this work, we investigate the marginal stability conditions for the development of plasmoids when the forming current sheet is purely collisionless and in the presence of a strong guide field. We analyze the geometry that characterizes the reconnecting current sheet, and what promotes its elongation. Once the reconnecting current sheet is formed, we identify the regimes for which it is plasmoid unstable. Our study shows that plasmoids can be obtained, in this context, from current sheets with an aspect ratio much smaller than in the collisional regime, and that the plasma flow channel of the marginally stable current layers maintains an inverse aspect ratio of 0.1.

Identifiants

pubmed: 36397597
doi: 10.1103/PhysRevE.106.L043201
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

L043201

Auteurs

C Granier (C)

Université Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, Laboratoire J. L. Lagrange, Boulevard de l'Observatoire, CS 34229, 06304 Nice Cedex 4, France.
Istituto dei Sistemi Complessi - CNR and Dipartimento di Energia, Politecnico di Torino, Torino 10129, Italy.

D Borgogno (D)

Istituto dei Sistemi Complessi - CNR and Dipartimento di Energia, Politecnico di Torino, Torino 10129, Italy.

L Comisso (L)

Department of Astronomy and Columbia Astrophysics Laboratory, Columbia University, New York, New York 10027, USA.

D Grasso (D)

Istituto dei Sistemi Complessi - CNR and Dipartimento di Energia, Politecnico di Torino, Torino 10129, Italy.

E Tassi (E)

Université Côte d'Azur, CNRS, Observatoire de la Côte d'Azur, Laboratoire J. L. Lagrange, Boulevard de l'Observatoire, CS 34229, 06304 Nice Cedex 4, France.

R Numata (R)

Graduate School of Information Science, University of Hyogo, Kobe 650-0047, Japan.

Classifications MeSH