原文信息

出处:Numerical Simulations in Cosmology: Chapter 3 — Hydrodynamic methods and sub-resolution models for cosmological simulations

作者:Milena Valentini (Universitá degli Studi di Trieste / INAF), Klaus Dolag (LMU München / MPI for Astrophysics)

arXivarXiv:2502.06954 页数:61 页,14 幅图

翻译说明

中文翻译,段落对照,上面是中文,下面是英文。

Chinese translation, paragraph by paragraph, with Chinese on top and English below.

虚线下划线 为个人添加的注释或评论。文献引用如 [1] 可点击复制完整引用信息。


摘要

宇宙学模拟是结构形成研究中极为强有力的工具。

Cosmological simulations are powerful tools in the context of structure formation.

借助它们,我们得以探索暗物质(DM)晕的等级式并合与成团性,验证或排除各种可能的结构形成图景,并研究星系在宇宙时间尺度上的物理演化性质。

They allow us to explore the hierarchical assembly of dark matter (DM) halos and their clustering, to validate or reject possible scenarios of structure formation, and to investigate the physical properties of evolving galaxies across cosmic time.

宇宙学流体动力学模拟尤为关键:它研究的是形成中的星系内部,复杂的星际介质(ISM)如何响应星系演化中最剧烈的能量过程——例如超新星(SN)爆发驱动的恒星反馈,以及活动星系核(AGN)反馈。

Cosmological hydrodynamical simulations are especially key to study how the complex interstellar medium (ISM) of forming galaxies responds to the most energetic processes during galaxy evolution, such as stellar feedback ensuing supernova (SN) explosions and feedback from AGN (active galactic nuclei).

宇宙结构形成与演化涉及的天体物理过程跨越了极大的物理尺度动力学范围。有鉴于此,宇宙学模拟必须借助次网格模型,来捕捉那些发生在模拟分辨率极限之下的物理过程。

Given the huge dynamical range of physical scales spanned by the astrophysical processes involved in cosmic structure formation and evolution, cosmological simulations resort to sub-resolution models to capture processes occurring below their resolution limit.

针对同一物理过程,不同次网格方案给出的结果差异是惊人的——然而这一点却常常被忽视。

The impact of different sub-grid prescriptions accounting for the same process is striking, though often overlooked.

其中主要过程包括:气体冷却、恒星形成与反馈、恒星演化与化学增丰、黑洞(BH)增长及其反馈。

Some among the main aforementioned processes include: hot gas cooling, star formation and stellar feedback, stellar evolution and chemical enrichment, black hole (BH) growth and their ensuing feedback.

在大型计算体积中运行宇宙结构形成与星系演化的模拟,对于揭示宇宙第一批结构如何诞生及其后续演化的驱动机制,具有关键意义。

Producing simulations of cosmic structure formation and galaxy evolution in large computational volumes is key to shed new light on what drives the formation of the first structures in the Universe, and their subsequent evolution.

模拟预测不仅对于与当前和未来观测设备的数据进行比对至关重要,还能有效指导未来的观测计划。

Not only are predictions from simulations crucial to compare with data from ongoing and upcoming observational instruments, but they can also effectively guide future observational campaigns.

此外,我们业已迈入高性能计算时代。拥有这样的数值代码至关重要:不仅要尽可能完整地涵盖已实现的物理过程,还要在计算层面高效运行,并能在最先进的百亿亿次(exascale)基础设施上平稳扩展。

Besides, since we have entered the era of high-performance computing, it is of paramount importance to have numerical codes which are not only as complete as possible as for the inclusion of physical processes implemented, but also very efficient from the computational point of view and able to smoothly scale on state-of-the-art exascale infrastructures.

本章将回顾宇宙学模拟中采用的主要流体动力学方法,以及用于纳入驱动星系形成与演化的基本天体物理过程的最常用技术。

In this chapter, we review the main hydrodynamic methods used in cosmological simulations and the most common techniques adopted to include the fundamental astrophysical processes which drive galaxy formation and evolution.


系列导航
→ 下一篇:§3.1 宇宙学流体动力学模拟

进度记录

  • 2026-06-25:创建翻译框架,完成摘要翻译
  • 2026-07-04:重构为按章节独立成篇
  • 2026-07-06:迁移到 en.txt + en N 方案(英文分离为独立文件)
  • 2026-07-24:迁移到 inline en 方案(英文直接写在 md 中,不再使用 en.txt)