Cosmological Simulations of Galaxies

TL;DR

This review discusses the evolution of cosmological galaxy simulations from simple models to complex, multi-physics approaches, highlighting methods, analysis techniques, and future directions for understanding galaxy formation.

Contribution

It provides an overview of current simulation techniques, analysis methods, and discusses future advancements in the field of cosmological galaxy simulations.

Findings

Modern simulations incorporate multiple physical processes.

Post-processing analysis is essential for extracting insights.

Future simulations aim to improve resolution and physical modeling.

Abstract

Galaxy simulations have come a long way from the early days of simple N-body calculations, which considered only gravitational interactions, to the complex, multi-physics models used today. Beginning with initial conditions representative of the Universe shortly after the Big Bang, these modern simulations integrate the relevant physical processes involved in galaxy formation, such as gravity, gas dynamics, cooling, star formation, and feedback, while accounting for cosmic expansion and structure formation. This review provides an introductory overview of cosmological galaxy simulations, outlining the essential components and methods used to model the formation and evolution of galaxies on the computer. It also discusses common steps in the post-processing analysis, essential for extracting physical insights from these numerical experiments, along with basic tests to assess simulation validity and accuracy. Looking forward, next-generation simulations aim to push resolution boundaries, incorporate additional physical processes, and improve the robustness of the numerical models, promising to lead to a deeper understanding of how galaxies emerged and evolved over cosmic time.