Kinetic simulations of the lowest-order unstable mode of relativistic magnetostatic equilibria
Krzysztof Nalewajko, Jonathan Zrake, Yajie Yuan, William E. East,, Roger D. Blandford

TL;DR
This study uses particle-in-cell simulations to investigate the instability and magnetic reconnection in relativistic 2D magnetostatic equilibria, revealing particle acceleration mechanisms and energy distributions relevant to astrophysical phenomena.
Contribution
It provides detailed insights into the nonlinear evolution, particle acceleration, and energy spectra in relativistic ABC magnetic equilibria, highlighting the role of current layers and magnetic helicity.
Findings
Exponential growth of electric energy and formation of current layers.
Particles are accelerated to high energies via stochastic processes.
Power-law energy distributions depend on magnetization and are softer than Harris-layer simulations.
Abstract
We present the results of particle-in-cell numerical pair plasma simulations of relativistic 2D magnetostatic equilibria known as the 'ABC' fields. In particular, we focus on the lowest-order unstable configuration consisting of two minima and two maxima of the magnetic vector potential. Breaking of the initial symmetry leads to exponential growth of the electric energy and to the formation of two current layers, which is consistent with the picture of 'X-point collapse' first described by Syrovatskii. Magnetic reconnection within the layers heats a fraction of particles to very high energies. After the saturation of the linear instability, the current layers are disrupted and the system evolves chaotically, diffusing the particle energies in a stochastic second-order Fermi process leading to the formation of power-law energy distributions. The power-law slopes harden with the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
