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Astrophysics > High Energy Astrophysical Phenomena

arXiv:1908.06474 (astro-ph)
[Submitted on 18 Aug 2019 (v1), last revised 20 Aug 2019 (this version, v2)]

Title:Magnetic stochasticity and diffusion

Authors:Amir Jafari, Ethan Vishniac, Vignesh Vaikundaraman
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Abstract:We develop a quantitative relationship between magnetic diffusion and the level of randomness, or stochasticity, of the diffusing magnetic field in a magnetized medium. A general mathematical formulation of magnetic stochasticity in turbulence has been developed in previous work in terms of the ${\cal L}_p$-norm $S_p(t)={1\over 2}|| 1-\hat{\bf B}_l.\hat{\bf B}_L||_p$, $p$th order magnetic stochasticity of the stochastic field ${\bf B}({\bf x}, t)$, based on the coarse-grained fields, ${\bf B}_l$ and ${\bf B}_L$, at different scales, $l\neq L$. For laminar flows, stochasticity level becomes the level of field self-entanglement or spatial complexity. In this paper, we establish a connection between magnetic stochasticity $S_p(t)$ and magnetic diffusion in magnetohydrodynamic (MHD) turbulence and use a homogeneous, incompressible MHD simulation to test this prediction. Our results agree with the well-known fact that magnetic diffusion in turbulent media follows the super-linear Richardson dispersion scheme. This is intimately related to stochastic magnetic reconnection in which super-linear Richardson diffusion broadens the matter outflow width and accelerates the reconnection process.
Subjects: High Energy Astrophysical Phenomena (astro-ph.HE); Mathematical Physics (math-ph); Fluid Dynamics (physics.flu-dyn); Plasma Physics (physics.plasm-ph)
Cite as: arXiv:1908.06474 [astro-ph.HE]
  (or arXiv:1908.06474v2 [astro-ph.HE] for this version)
  https://doi.org/10.48550/arXiv.1908.06474
arXiv-issued DOI via DataCite
Journal reference: Phys. Rev. E 100, 043205 (2019)
Related DOI: https://doi.org/10.1103/PhysRevE.100.043205
DOI(s) linking to related resources

Submission history

From: Amir Jafari [view email]
[v1] Sun, 18 Aug 2019 16:36:46 UTC (1,981 KB)
[v2] Tue, 20 Aug 2019 02:46:41 UTC (1,981 KB)
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