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arXiv 1004.0109astro-ph.HE
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吸积盘垂直分层模型中的MRI通道流

MRI channel flows in vertically-stratified models of accretion disks

Henrik N. Latter, Sebastien Fromang, Oliver Gressel

摘要:

磁旋转不稳定性(MRI)在“非分层”剪切盒的模拟表现出强大的相干流,从而流体垂直分裂成反向运动的平面射流或“通道”。通道流对应于某些轴对称线性MRI模式,并且它们的优势来自于它们是弱磁场极限下MHD方程的近似非线性解这一显著事实。在本文中,我们表明,分析和一维数值模拟,这一属性也共享某些轴对称MRI模式在垂直分层剪切盒。这些通道流迅速捕获大量的磁能和动能,因此容易受到二次剪切不稳定性的影响。我们研究这些寄生虫在垂直分层的上下文中,并估计最大幅度的通道达到之前,他们被摧毁。这些估计表明,占主导地位的通道流通常会驱动磁盘的磁场的热强度。这些流动的突出性和它们的破坏对模拟提出了巨大的要求,但是在它们的初始阶段,通道也提供了对数字代码的有用检查。考虑到对分层MRI饱和度的兴趣日益增加,这些基准尤其有价值。最后,我们推测在原恒星和矮新星磁盘的“失控”通道流和爆发行为之间的潜在联系。

英文摘要:

Simulations of the magnetorotational instability (MRI) in 'unstratified' shearing boxes exhibit powerful coherent flows, whereby the fluid vertically splits into countermoving planar jets or `channels'. Channel flows correspond to certain axisymmetric linear MRI modes, and their preponderance follows from the remarkable fact that they are approximate nonlinear solutions of the MHD equations in the limit of weak magnetic fields. We show in this paper, analytically and with one-dimensional numerical simulations, that this property is also shared by certain axisymmetric MRI modes in vertically-stratified shearing boxes. These channel flows rapidly capture significant amounts of magnetic and kinetic energy, and thus are vulnerable to secondary shear instabilities. We examine these parasites in the vertically stratified context, and estimate the maximum amplitudes that channels attain before they are destroyed. These estimates suggest that a dominant channel flow will usually drive the disk's magnetic field to thermal strengths. The prominence of these flows and their destruction place enormous demands on simulations, but channels in their initial stages also offer a useful check on numerical codes. These benchmarks are especially valuable given the increasing interest in the saturation of the stratified MRI. Lastly we speculate on the potential connection between 'run-away' channel flows and outburst behaviour in protostellar and dwarf nova disks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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