论文标题
非辐射云的敏感性对流体动力学求解器的敏感性
Sensitivity of non-radiative cloud-wind interactions to the hydrodynamics solver
论文作者
论文摘要
在星际和周边培养基中,云风相互作用很常见。许多研究都使用了这种相互作用的模拟来研究特定物理过程的影响,但是水力动力学求解器的选择的影响很大程度上被忽略了。在这里,我们研究了使用七个不同的流体动力求解器:SPH的三种口味,一个移动的网格,自适应网格细化和两个无网状方案。密集气体和中等温度的气体以及中等温度气体的覆盖部分的质量的演变是系统地比较10和100的初始密度对比度,以及五种数值分辨率。为了隔离由于流体动力学求解器而引起的差异,我们使用理想化的非辐射模拟而无需物理传导。我们发现这些方法之间有很大的差异。 SPH方法显示云的分布较慢,特别是对于较高的密度对比度,但收敛速度更快,尤其是对于较低的密度对比度。中等温度气体的预测在非SPH代码之间也有很大差异,并且收敛最缓慢。我们得出的结论是,致密云与超音速风之间的流体动力相互作用仍然是一个未解决的问题。旨在了解云风相互作用的物理学或观察性特征的研究应通过比较不同的流体动力学求解器来测试其结果的鲁棒性。
Cloud-wind interactions are common in the interstellar and circumgalactic media. Many studies have used simulations of such interactions to investigate the effect of particular physical processes, but the impact of the choice of hydrodynamics solver has largely been overlooked. Here we study the cloud-wind interaction, also known as the "blob test", using seven different hydrodynamics solvers: Three flavours of SPH, a moving mesh, adaptive mesh refinement and two meshless schemes. The evolution of masses in dense gas and intermediate-temperature gas, as well as the covering fraction of intermediate-temperature gas, are systematically compared for initial density contrasts of 10 and 100, and five numerical resolutions. To isolate the differences due to the hydrodynamics solvers, we use idealised non-radiative simulations without physical conduction. We find large differences between these methods. SPH methods show slower dispersal of the cloud, particularly for the higher density contrast, but faster convergence, especially for the lower density contrast. Predictions for the intermediate-temperature gas differ particularly strongly, also between non-SPH codes, and converge most slowly. We conclude that the hydrodynamical interaction between a dense cloud and a supersonic wind remains an unsolved problem. Studies aiming to understand the physics or observational signatures of cloud-wind interactions should test the robustness of their results by comparing different hydrodynamics solvers.