Monte Carlo radiative transfer
Monte Carlo radiative transfer
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DOI：
10.1007/s41115-019-0004-9
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发表时间：
2019-06
期刊：
影响因子：
--
通讯作者：
U. M. Noebauer;S. Sim
中科院分区：
文献类型：
--
作者：
U. M. Noebauer;S. Sim
辐射过程和辐射传输的理论和数值模拟在天体物理学中起着关键作用：它们提供了物体的物理特性与其发射的辐射之间的联系。在观测数据质量越来越高、物理理论越来越复杂的现代，需要开发和利用各种辐射传输建模方法。在这篇文章中，我们专注于一个非常通用的方法：蒙特卡罗辐射传递（MCRT）。我们描述了这种方法背后的原则，并强调了它们可以（和已经）应用于一系列天体物理问题的相对容易性。所有MCRT方法都需要考虑模拟结果中蒙特卡罗噪声的不利后果。我们概述了一系列用于抑制这种噪声的方法，并评论其相对优点，为各种应用。最后，我们对MCRT方法目前流行的具体应用进行了简要回顾，并对未来发展的前景进行了评论。
The theory and numerical modelling of radiation processes and radiative transfer play a key role in astrophysics: they provide the link between the physical properties of an object and the radiation it emits. In the modern era of increasingly high-quality observational data and sophisticated physical theories, development and exploitation of a variety of approaches to the modelling of radiative transfer is needed. In this article, we focus on one remarkably versatile approach: Monte Carlo radiative transfer (MCRT). We describe the principles behind this approach, and highlight the relative ease with which they can (and have) been implemented for application to a range of astrophysical problems. All MCRT methods have in common a need to consider the adverse consequences of Monte Carlo noise in simulation results. We overview a range of methods used to suppress this noise and comment on their relative merits for a variety of applications. We conclude with a brief review of specific applications for which MCRT methods are currently popular and comment on the prospects for future developments.