基于自适应网格加密辐射流体动力学的恒星形成
Star Formation with Adaptive Mesh Refinement Radiation Hydrodynamics
摘要：
我提供了自适应网格细化（AMR）辐射流体动力学（RHD）的方法和代码用于模拟恒星形成的教学审查，在一个适合研究人员谁不是计算专家的水平。我首先简要概述的RHD过程的类型是最重要的恒星形成，然后我正式介绍RHD方程和近似的一个使用，使他们计算上容易处理。我讨论的战略，解决这些近似方程的自适应网格，特别强调确定各种近似和数值方法的主要优点和缺点。最后，我将讨论一些有待改进的领域。
英文摘要：
I provide a pedagogic review of adaptive mesh refinement (AMR) radiation hydrodynamics (RHD) methods and codes used in simulations of star formation, at a level suitable for researchers who are not computational experts. I begin with a brief overview of the types of RHD processes that are most important to star formation, and then I formally introduce the equations of RHD and the approximations one uses to render them computationally tractable. I discuss strategies for solving these approximate equations on adaptive grids, with particular emphasis on identifying the main advantages and disadvantages of various approximations and numerical approaches. Finally, I conclude by discussing areas ripe for improvement.
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。
