Hostname: page-component-74656f9884-2dmjx Total loading time: 0 Render date: 2026-11-09T09:31:47.617Z Has data issue: false hasContentIssue false

Investigation of the collisionless plasmoid instability based on gyrofluid and gyrokinetic integrated approach

Published online by Cambridge University Press:  11 July 2023

C. Granier*
Affiliation:
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
Affiliation:
Graduate School of Information Science, University of Hyogo, Kobe 650-0047, Japan
D. Borgogno
Affiliation:
Istituto dei Sistemi Complessi - CNR and Dipartimento di Energia, Politecnico di Torino, Torino 10129, Italy
E. Tassi
Affiliation:
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
D. Grasso
Affiliation:
Istituto dei Sistemi Complessi - CNR and Dipartimento di Energia, Politecnico di Torino, Torino 10129, Italy
*
†Email address for correspondence: camille.granier@oca.eu
Rights & Permissions [Opens in a new window]

Abstract

In this work, the development of two-dimensional current sheets with respect to tearing modes, in collisionless plasmas with a strong guide field, is analysed. During their nonlinear evolution, these thin current sheets can become unstable to the formation of plasmoids, which allows the magnetic reconnection process to reach high reconnection rates. We carry out a detailed study of the effect of a finite $\beta _e$, which also implies finite electron Larmor radius effects, on the collisionless plasmoid instability. This study is conducted through a comparison of gyrofluid and gyrokinetic simulations. The comparison shows in general a good capability of the gyrofluid models in predicting the plasmoid instability observed with gyrokinetic simulations. We show that the effects of $\beta _e$ promotes the plasmoid growth. The effect of the closure applied during the derivation of the gyrofluid model is also studied through the comparison among the variations of the different contributions to the total energy.

Information

Type
Research Article
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press
Figure 0

Figure 1. Evolution of linear growth rate as a function of $k_y$ for $d_e = 0.085$, $\rho _s = 0.3$. For $\beta _e = 0$, the solution corresponds to that of Porcelli (1991), while the cases $\beta _e = 0.12$ and $\beta _e = 0.24$ represent an extension of this solution accounting for small electronic FLR effects and parallel magnetic perturbations.

Figure 1

Table 1. Gyrofluid and fluid simulations.

Figure 2

Table 2. Gyrokinetic simulations.

Figure 3

Figure 2. Maximum growth rates of the collisionless tearing mode as a function of $\beta _e$, for the cases (a) $p=2$ and (b) $p=3$.

Figure 4

Table 3. number of visible plasmoids for simulation $2_F$ for different grids.

Figure 5

Figure 3. (a,b) Contour of the parallel electron velocity $u_e$ (proportional to the parallel current density and normalised by $\widehat {d_i}/L$ and by the Alfvén velocity $v_A$) for simulation $1_{\rm GF1}$. (c,d) Contour of the parallel current density $j_{\parallel }$ (normalised by $e n_0 v_A$) of simulation $1_{\rm GK1}$. The difference in normalisation conventions leads to a factor $-d_i = -0.85$ between the two quantities. Isolines of the magnetic potential are superimposed on all the contours.

Figure 6

Figure 4. (a,b) Contour of the electron velocity $u_e$ (proportional to the parallel current density) for simulation $1_{\rm GF2}$. (c,d) Contour of the parallel current density $j_{\parallel }$ of simulation $1_{\rm GK2}$. The difference in normalisation conventions leads to a factor $-d_i = -1.7$ between the two quantities. Isolines of the magnetic potential are superimposed on all the contours.

Figure 7

Figure 5. Contour of the parallel current density $j_{\parallel }$ for simulations $2_{\rm GK3}$, $2_{\rm GK2}$ and $2_{\rm GK1}$. Isolines of the magnetic potential are superimposed on all the contours.

Figure 8

Figure 6. Aspect ratio of the forming current sheet as a function of time for simulations $2_{\rm GK1}$, $2_{\rm GK2}$ and $2_{{\rm GK3}}$.

Figure 9

Figure 7. Aspect ratio of the forming current sheet as a function of time for the simulations $4_{\rm GK1}$ and $4_{\rm GK2}$.

Figure 10

Figure 8. Contour of $u_e$ with isolines of $A_{\parallel }$. From (a) to (d) panels: $2_{F}$ ($2304^2$), $2_{\rm GF4}$, $2_{\rm GF3}$ and $2_{\rm GF1}$ ($2304\times 2400$).

Figure 11

Figure 9. (a–c) Contour of the parallel current density $u_e=U_e$ for simulation $3_{F}$ ($1728^2$). (d–f) Contour of the parallel current density $j_{\parallel }$ of simulation $3_{\rm GK3}$. The difference in normalisation conventions leads to a factor $-d_i = -1.7$ between the two quantities. Isolines of the magnetic potential are superimposed on all the colour maps.

Figure 12

Figure 10. (a,b) Contour of the parallel current density $u_e=U_e$ for simulation $4_{F}$ ($1728^2$). (c,d) Contour of the parallel current density $j_{\parallel }$ of simulation $4_{\rm GK2}$. The difference in normalisation conventions leads to a factor $-d_i = -1.7$ between the two quantities. Isolines of the magnetic potential are superimposed on all the colour maps.

Figure 13

Figure 11. Time evolution of the energy variations for the cases $1_F$ (a) and $1_{\rm GK3}$ (b). (c) and (d) show the time evolution of the different contributions to the parallel kinetic energy for the corresponding simulations. No plasmoids in this case.

Figure 14

Figure 12. Time evolution of the energy variations for the cases $3_{GF}$ and $3_{GK}$.