2013
DOI: 10.1063/1.4811470
|View full text |Cite
|
Sign up to set email alerts
|

The plasmoid instability during asymmetric inflow magnetic reconnection

Abstract: Theoretical studies of the plasmoid instability generally assume that the reconnecting magnetic fields are symmetric. We relax this assumption by performing two-dimensional resistive magnetohydrodynamic simulations of the plasmoid instability during asymmetric inflow magnetic reconnection. Magnetic asymmetry modifies the onset, scaling, and dynamics of this instability. Magnetic islands develop preferentially into the weak magnetic field upstream region. Outflow jets from individual X-points impact plasmoids o… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

3
24
0

Year Published

2015
2015
2019
2019

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 24 publications
(27 citation statements)
references
References 119 publications
(170 reference statements)
3
24
0
Order By: Relevance
“…This implies that we can approximateγ(â) withγ s (â) in Eq. (14). In the larget * regime, we recover the Sweet-Parker-limit solution.…”
supporting
confidence: 53%
See 1 more Smart Citation
“…This implies that we can approximateγ(â) withγ s (â) in Eq. (14). In the larget * regime, we recover the Sweet-Parker-limit solution.…”
supporting
confidence: 53%
“…However, for the most interesting caset * < τ ln(1 +â 0 S 1/2 ) [30], which occurs for very large S-values, one has to solve Eq. (14). In this caset * τ ln(â 0 /â * ), and, usingâ * â 0 , we obtain a * c a τ 2/3 S −1/3 ln c δâ…”
mentioning
confidence: 87%
“…Paper I; Ni et al 2010;Shen et al 2011;Lynch et al 2016), exhibit nonlinear dynamics and plasmoid-unstable evolution similar to those simulations with higher Lundquist numbers that exceed the more traditional 10 4 threshold (e.g. Furth et al 1963;Biskamp 1986;Huang & Bhattacharjee 2010;Loureiro et al 2012;Murphy et al 2013).…”
Section: Computational Grid Adaptive Mesh Refinement and Numerical Rementioning
confidence: 89%
“…In this subsection, we describe our technique to identify the plasmoids that are self-consistently generated by reconnection, and to follow individual plasmoids over time. As it is customary in magnetohydrodinamic (MHD) simulations (Fermo et al 2010;Loureiro et al 2012;Huang & Bhattacharjee 2012;Murphy et al 2013), the O-points at the center of plasmoids and the X-points in between neighboring plasmoids are identified in a 2D domain as local maxima and minima of the magnetic vector potential A z . Apart from a minus sign, A z also corresponds to the magnetic flux function.…”
Section: Plasmoid Identification and Trackingmentioning
confidence: 99%