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CHARACTERIZING THE MEAN-FIELD DYNAMO IN TURBULENT ACCRETION DISKS

机译:表征湍流吸积盘中的平均场动力

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The formation and evolution of a wide class of astrophysical objects are governed by turbulent, magnetized accretion disks. Understanding their secular dynamics is of primary importance. Apart from enabling mass accretion via the transport of angular momentum, the turbulence affects the long-term evolution of the embedded magnetic flux, which in turn regulates the efficiency of the transport. In this paper, we take a comprehensive next step toward?an effective mean-field model for turbulent astrophysical disks by systematically studying the key properties of magnetorotational turbulence in vertically stratified, isothermal shearing boxes. This allows us to infer emergent properties of the ensuing chaotic flow as a function of the shear parameter, as well as the amount of net?vertical flux. Using the test-field method, we furthermore characterize the mean-field dynamo coefficients that describe the long-term evolution of large-scale fields. We simultaneously infer the vertical shape and the spectral scale dependence of these closure coefficients, with the latter describing nonlocal contributions to the turbulent electromotive force. Based on this, we infer a scale-separation ratio of about 10 for the large-scale dynamo. We finally determine scaling properties of the mean-field dynamo coefficients. The relevant component of the dynamo α effect is found to scale linearly with the shear rate, as does the corresponding turbulent diffusion, η. Together, these scalings allow us to predict, in a quantitative manner, the cycle period of the well-known butterfly diagram. This lends new support to the importance of the mechanism in determining the evolution of large-scale magnetic fields in turbulent accretion disks.
机译:种类繁多的天体物体的形成和演化由湍动的磁化吸积盘控制。了解它们的长期动力学至关重要。除了通过角动量的传输实现质量累积外,湍流还会影响嵌入式磁通量的长期演变,进而影响传输效率。在本文中,我们通过系统地研究垂直分层等温剪切箱中磁旋转湍流的关键特性,朝着有效的湍流天体盘平均场模型迈出了下一步。这使我们能够推断出随后的混沌流的突然出现的特性与剪切参数以及净垂直通量的关系。使用测试场方法,我们进一步描述了描述大范围场的长期演变的平均场发电机系数。我们同时推断出这些闭合系数的垂直形状和频谱比例相关性,后者描述了湍流电动势的非局部贡献。基于此,我们推断大型发电机的水垢分离比约为10。最后,我们确定平均场发电机系数的缩放属性。发现发电机α效应的相关分量与剪切速率成线性比例关系,相应的湍流扩散η也是如此。这些缩放比例一起使我们可以定量地预测众所周知的蝶形图的周期。这为该机制在确定湍流吸积盘中大范围磁场的演变过程中的重要性提供了新的支持。

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