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Identification of Intermittent Multifractal Turbulence in Fully Kinetic Simulations of Magnetic Reconnection

机译:磁重联的全动力学模拟中的间歇性多重分形湍流识别

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摘要

Recent fully nonlinear, kinetic three-dimensional simulations of magnetic reconnection [W. Daughton et al., Nat. Phys. 7, 539 (2011)] evolve structures and exhibit dynamics on multiple scales, in a manner reminiscent of turbulence. These simulations of reconnection are among the first to be performed at sufficient spatiotemporal resolution to allow formal quantitative analysis of statistical scaling, which we present here. We find that the magnetic field fluctuations generated by reconnection are anisotropic, have nontrivial spatial correlation, and exhibit the hallmarks of finite range fluid turbulence: they have non-Gaussian distributions, exhibit extended self-similarity in their scaling, and are spatially multifractal. Furthermore, we find that the rate at which the fields do work on the particles, J • E, is also multifractal, so that magnetic energy is converted to plasma kinetic energy in a manner that is spatially intermittent. This suggests that dissipation in this sense in collisionless reconnection on kinetic scales has an analogue in fluidlike turbulent phenomenology, in that it proceeds via multifractal structures generated by an intermittent cascade.
机译:最近的磁重连接的完全非线性,动力学三维模拟[W. Daughton等人,Nat。物理7,7,539(2011)]以使人联想到湍流的方式演化结构并在多个尺度上展现动力学。这些重新连接的模拟是第一个以足够的时空分辨率进行的模拟,以允许对统计标度进行形式化的定量分析,我们将在此处进行介绍。我们发现,重新连接产生的磁场涨落是各向异性的,具有不平凡的空间相关性,并表现出有限范围流体湍流的特征:它们具有非高斯分布,在尺度上表现出扩展的自相似性,并且在空间上是多重分形的。此外,我们发现,电场在粒子上起作用的速率J•E也是多重分形的,因此,磁能以空间断续的方式转换为等离子体动能。这表明在动力学尺度上无碰撞重新连接的意义上的耗散与流体状湍流现象学类似,因为耗散是通过间歇级联生成的多重分形结构进行的。

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  • 来源
    《Physical review letters》 |2013年第20期|205002.1-205002.5|共5页
  • 作者单位

    Department of Physics, Centre for Fusion, Space and Astrophysics, University of Warwick, Coventry CV4 7AL, United Kingdom;

    Department of Physics, Centre for Fusion, Space and Astrophysics, University of Warwick, Coventry CV4 7AL, United Kingdom;

    Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA;

    University of California, San Diego, La Jolla, California 92093, USA;

    University of California, San Diego, La Jolla, California 92093, USA;

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