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arXiv 1003.4151astro-ph.GA
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从二维观测数据重建三维湍流密度场的PDF的方法

A method for reconstructing the PDF of a 3D turbulent density field from 2D observations

Christopher M. Brunt, Christoph Federrath, Daniel J. Price

摘要:

我们介绍了一种方法,用于计算概率密度函数(PDF)的湍流密度场在三维中只使用包含在投影的二维列密度场的信息。我们测试的方法,将其应用到分子云中的流体动力学和磁流体动力学湍流的数值模拟。为了更好地近似,log的PDF(归一化柱密度)是log的PDF(归一化密度)的压缩、移位版本。在湍流统计各向同性的假设下,压缩程度可以通过观测从柱密度功率谱确定。

英文摘要:

We introduce a method for calculating the probability density function (PDF) of a turbulent density field in three dimensions using only information contained in the projected two-dimensional column density field. We test the method by applying it to numerical simulations of hydrodynamic and magnetohydrodynamic turbulence in molecular clouds. To a good approximation, the PDF of log(normalised column density) is a compressed, shifted version of the PDF of log(normalised density). The degree of compression can be determined observationally from the column density power spectrum, under the assumption of statistical isotropy of the turbulence.

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