Literature DB >> 23698445

Flux-freezing breakdown in high-conductivity magnetohydrodynamic turbulence.

Gregory Eyink1, Ethan Vishniac, Cristian Lalescu, Hussein Aluie, Kalin Kanov, Kai Bürger, Randal Burns, Charles Meneveau, Alexander Szalay.   

Abstract

The idea of 'frozen-in' magnetic field lines for ideal plasmas is useful to explain diverse astrophysical phenomena, for example the shedding of excess angular momentum from protostars by twisting of field lines frozen into the interstellar medium. Frozen-in field lines, however, preclude the rapid changes in magnetic topology observed at high conductivities, as in solar flares. Microphysical plasma processes are a proposed explanation of the observed high rates, but it is an open question whether such processes can rapidly reconnect astrophysical flux structures much greater in extent than several thousand ion gyroradii. An alternative explanation is that turbulent Richardson advection brings field lines implosively together from distances far apart to separations of the order of gyroradii. Here we report an analysis of a simulation of magnetohydrodynamic turbulence at high conductivity that exhibits Richardson dispersion. This effect of advection in rough velocity fields, which appear non-differentiable in space, leads to line motions that are completely indeterministic or 'spontaneously stochastic', as predicted in analytical studies. The turbulent breakdown of standard flux freezing at scales greater than the ion gyroradius can explain fast reconnection of very large-scale flux structures, both observed (solar flares and coronal mass ejections) and predicted (the inner heliosheath, accretion disks, γ-ray bursts and so on). For laminar plasma flows with smooth velocity fields or for low turbulence intensity, stochastic flux freezing reduces to the usual frozen-in condition.

Year:  2013        PMID: 23698445     DOI: 10.1038/nature12128

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  7 in total

1.  Generalized flows, intrinsic stochasticity, and turbulent transport.

Authors:  W E
Journal:  Proc Natl Acad Sci U S A       Date:  2000-07-18       Impact factor: 11.205

2.  Spectrum of magnetohydrodynamic turbulence.

Authors:  Stanislav Boldyrev
Journal:  Phys Rev Lett       Date:  2006-03-20       Impact factor: 9.161

3.  A current filamentation mechanism for breaking magnetic field lines during reconnection.

Authors:  H Che; J F Drake; M Swisdak
Journal:  Nature       Date:  2011-06-01       Impact factor: 49.962

4.  Spectral slope and Kolmogorov constant of MHD turbulence.

Authors:  A Beresnyak
Journal:  Phys Rev Lett       Date:  2011-02-14       Impact factor: 9.161

5.  Fluctuation dynamo and turbulent induction at small Prandtl number.

Authors:  Gregory L Eyink
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-10-27

6.  Stochastic flux freezing and magnetic dynamo.

Authors:  Gregory L Eyink
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-05-27

7.  Magnetic reconnection from a multiscale instability cascade.

Authors:  Auna L Moser; Paul M Bellan
Journal:  Nature       Date:  2012-02-15       Impact factor: 49.962

  7 in total
  5 in total

Review 1.  Turbulent reconnection and its implications.

Authors:  A Lazarian; G Eyink; E Vishniac; G Kowal
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2015-05-13       Impact factor: 4.226

2.  Magnetic reconnection in partially ionized plasmas.

Authors:  Lei Ni; Hantao Ji; Nicholas A Murphy; Jonathan Jara-Almonte
Journal:  Proc Math Phys Eng Sci       Date:  2020-04-22       Impact factor: 2.704

3.  The heterogeneous energy landscape expression of KWW relaxation.

Authors:  J H Wu; Q Jia
Journal:  Sci Rep       Date:  2016-02-16       Impact factor: 4.379

Review 4.  Perspectives on magnetic reconnection.

Authors:  Ellen G Zweibel; Masaaki Yamada
Journal:  Proc Math Phys Eng Sci       Date:  2016-12       Impact factor: 2.704

5.  Effective Resistivity in Collisionless Magnetic Reconnection.

Authors:  Z W Ma; T Chen; H W Zhang; M Y Yu
Journal:  Sci Rep       Date:  2018-07-12       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.