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)
arXiv:arXiv:2502.06954 页数:61 页,14 幅图
翻译说明:
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。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.
摘要
Cosmological simulations are powerful tools in the context of structure formation.
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.
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).
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.
The impact of different sub-grid prescriptions accounting for the same process is striking, though often overlooked.
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.
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.
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.
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.
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.
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