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arXiv 1302.6090astro-ph.SRphysics.plasm-ph
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湍流磁重联过程中多岛收缩的随机加速

Stochastic acceleration by multi-island contraction during turbulent magnetic reconnection

Nicolas Bian, Eduard Kontar

摘要:

研究了多岛湍流磁重联中磁化等离子体中带电粒子的加速问题。粒子加速模型是为产生绝热压缩的粒子的岛的合奏。该模型考虑到在加速区域中的颗粒在其运输过程中所经历的压缩率的统计波动。粒子分布函数的演化被描述为同时的一阶和二阶费米加速过程。第一阶过程的效率由平均压缩率控制,而第二阶过程涉及压缩率的变化。此外,与二阶过程相关的加速效率涉及压缩场的欧拉性质和粒子的拉格朗日性质。对加速度的随机贡献是非共振的,并且在压缩率的大变化的情况下可以主导系统部分。该模型解决了二阶过程的作用,后者如何可以与大规模的湍流输送的粒子和解释的粒子加速的数值模拟的一些功能,通过多岛收缩在磁重联。

英文摘要:

The acceleration of charged particles in magnetized plasmas is considered during turbulent multi-island magnetic reconnection. The particle acceleration model is constructed for an ensemble of islands which produce adiabatic compression of the particles. The model takes into account the statistical fluctuations in the compression rate experienced by the particles during their transport in the acceleration region. The evolution of the particle distribution function is described as a simultaneous first and second-order Fermi acceleration process. While the efficiency of the first-order process is controlled by the average rate of compression, the second order process involves the variance in the compression rate. Moreover, the acceleration efficiency associated with the second-order process involves both the Eulerian properties of the compression field and the Lagrangian properties of the particles. The stochastic contribution to the acceleration is non-resonant and can dominate the systematic part in the case of a large variance in the compression rate. The model addresses the role of the second-order process, how the latter can be related to the large-scale turbulent transport of particles and explains some features of the numerical simulations of particle acceleration by multi-island contraction during magnetic reconnection.

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