Cosmological Simulations and Galaxy Formation

Summary

Cosmological simulations have become indispensable tools for understanding the assembly of galaxies within the framework of a ΛCDM Universe. By numerically integrating the coupled equations of gravity, hydrodynamics and radiative cooling, these simulations trace the collapse of dark matter into haloes and the complex interplay of gas accretion, star formation and energetic feedback. High‐resolution techniques—ranging from N-body treatments of collisionless dark matter to adaptive mesh or moving‐mesh hydrodynamics—capture processes from the cosmic web down to the interstellar medium. Subgrid models for unresolved physics, such as supernova and active galactic nucleus feedback, regulate star formation and drive galactic winds, yielding simulated galaxy populations that can be compared to observed stellar mass functions, scaling relations and gas abundances. Advances in computational power and algorithmic innovation have extended the dynamic range of simulations, enabling statistically representative volumes while preserving parsec‐scale detail. The result is a detailed theoretical laboratory in which to probe the emergence of galactic structure, chemical enrichment and morphological diversity over cosmic time.

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Cosmological Simulations and Galaxy Formation publication trend

The graph below shows the total number of articles in cosmological simulations and galaxy formation across all publications each year (not limited to Nature Index journals).

Technical terms

ΛCDM (Lambda Cold Dark Matter): The standard cosmological model combining dark energy (Λ) with cold, collisionless dark matter to describe the large‐scale evolution of the Universe.

N-body simulation: A numerical method in which particles represent dark matter elements that interact via gravity, used to follow the growth of dark matter haloes over cosmic time.

Hydrodynamic simulation: A computational approach that solves fluid equations for baryonic gas alongside gravity, thereby modelling gas cooling, shock heating and star formation.

Subgrid physics: Phenomenological prescriptions for processes (e.g. stellar feedback, black-hole accretion) that occur below the resolution limit of a simulation but influence galaxy evolution.

Moving-mesh code: A type of hydrodynamic solver in which the computational grid adapts to fluid motion, combining the strengths of mesh‐based accuracy with Lagrangian flexibility.

References

  1. The CAMELS Project: Public Data Release. The Astrophysical Journal Supplement Series (2023).
  2. Robust Field-level Likelihood-free Inference with Galaxies. The Astrophysical Journal (2023).
  3. FIREbox: simulating galaxies at high dynamic range in a cosmological volume. Monthly Notices of the Royal Astronomical Society (2023).
  4. Introducing the Illustris project: the evolution of galaxy populations across cosmic time. Monthly Notices of the Royal Astronomical Society (2014).

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