2023
DOI: 10.1016/j.jheap.2023.08.001
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Particle acceleration in self-driven turbulent reconnection

Jian-Fu Zhang,
Siyao Xu,
Alex Lazarian
et al.
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Cited by 4 publications
(3 citation statements)
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“…Our reconnection simulations demonstrated that particles within and around the turbulent reconnection layer can be accelerated up to relativistic energies (Liang et al 2023;Zhang et al 2023). The interactions of accelerated particles with turbulent magnetic fields would emit synchrotron signals, which can reveal the information of magnetic turbulence.…”
Section: Generation Of Polarization Observational Datamentioning
confidence: 84%
See 1 more Smart Citation
“…Our reconnection simulations demonstrated that particles within and around the turbulent reconnection layer can be accelerated up to relativistic energies (Liang et al 2023;Zhang et al 2023). The interactions of accelerated particles with turbulent magnetic fields would emit synchrotron signals, which can reveal the information of magnetic turbulence.…”
Section: Generation Of Polarization Observational Datamentioning
confidence: 84%
“…Numerical attempts demonstrated the generation of turbulence by reconnection itself in both cases of the incompressible (Beresnyak 2017) and compressible MHD (Oishi et al 2015;Huang & Bhattacharjee 2016;Kowal et al 2017;Liang et al 2023). Recently, our numerical studies also demonstrated that charged particles can be effectively accelerated in reconnection-driven turbulence by test particle simulations (Zhang et al 2023) and MHD-PIC methods (Liang et al 2023).…”
Section: Introductionmentioning
confidence: 82%
“…5 Compared to the results from different integrators, we obtained consistent results with that of the RK4 method. See footnote 4 in Zhang et al (2023) for more details. magnetic field, B, it is not difficult to understand the behavior of the particles' motion.…”
Section: Trajectory Of Particlesmentioning
confidence: 99%