Comparing Performance in the Codes AREPO, GIZMO and GAMER-2
DOI:
https://doi.org/10.61173/z9hw7f55Keywords:
Cosmology simulations, particle algorithms, AREPO, GIZMO, GAMER-2Abstract
Modern astrophysical simulation is the main aspect of human getting insight from the cosmos. Numerical simulations became irreplaceable tools for generating various phases of the universe, the formation of galaxies, and other astrophysical phenomena. As the advances of computational power, validity and diversity of astrophysical modeling have been growing. In addition to the development of the processor performance, the diversity of the software community is also rising therefore, research between various simulation codes is worthwhile. It allowed researchers to know the nature of different simulation techniques linked to their basic algorithms. This study summarizes the basics of common simulation methods used by researchers including N-body Simulations, Smoothed Particle Hydrodynamics, Monte Carlo Methods, Finite Difference and Finite Element Methods. Furthermore, this research analyzes the basics of AREPO, GIZMO, and GAMER-2 codes, and compared the performance of these codes. Last, according to the analysis, this study discusses and demonstrates the advantages and limitations of these codes. These results shed light on guiding further exploration of cosmology simulations.
References
[1] Bethe H A. Energy Production in Stars. Physical Review, 1939, 55(1): 103-103.
[2] Nelson D, Pillepich A, Springel V, et al. First results from the IllustrisTNG simulations: the galaxy colour bimodality. Monthly Notices of the Royal Astronomical Society, 2017, 475(1): 624- 647.
[3] Kannan R, Enrico G, Smith A M, et al. Introducing the thesan project: radiation-magnetohydrodynamic simulations of the epoch of reionization. 2021, 511(3): 4005-4030.
[4] Abbott R, Abbott T D, Abraham S, et al. GWTC-2: Compact Binary Coalescences Observed by LIGO and Virgo during the First Half of the Third Observing Run. Physical Review X, 2021, 11(2).
[5] Goldbaum N J. Extracting Insights from Astrophysics Simulations. Astronomical Data Analysis Software and Systems XXVII, 2017, 522: 225.
[6] Hopkins P F. A new class of accurate, mesh-free hydrodynamic simulation methods. Monthly Notices of the Royal Astronomical Society, 2015, 450(1): 53-110.
[7] Hopkins P F, Wetzel A, Keres D, et al. FIRE-2 simulations: physics versus numerics in galaxy formation. Monthly Notices of the Royal Astronomical Society, 2018, 480(1): 800-863.
[8] Rocha M, Annika, Bullock J S, et al. Cosmological simulations with self-interacting dark matter I. Constantdensity cores and substructure. Monthly Notices of the Royal Astronomical Society, 2013, 430(1): 81-104.
[9] Meskhidze H, Mercado F J, Sameie O, et al. Comparing implementations of self-interacting dark matter in the gizmo and arepo codes. Monthly Notices of the Royal Astronomical Society, 2022, 513(2): 2600-2608.
[10] Hopkins P F. A new public release of the GIZMO code. arXiv preprint arXiv:1712.01294, 2017.
[11] Schive H Y, ZuHone J A, Goldbaum N J, et al. GAMER-2: a GPU-accelerated adaptive mesh refinement code–accuracy, performance, and scalability. Monthly Notices of the Royal Astronomical Society, 2018, 481(4): 4815-4840.
[12] Weinberger R, Springel V, Pakmor R. The Arepo public code release. The Astrophysical Journal Supplement Series, 2020, 248(2): 32.
[13] Springel V. E pur si muove: Galilean-invariant cosmological hydrodynamical simulations on a moving mesh. Monthly Notices of the Royal Astronomical Society, 2010, 401: 791-851.
[14] Deng Y, Li H, Kannan R, et al. Simulating ionization feedback from young massive stars: impact of numerical resolution. Monthly Notices of the Royal Astronomical Society, 2023, 527(1): 478-500.
[15] Smith A, Kannan R, Tacchella S, et al. The physics of Lyman-α escape from disc-like galaxies. Monthly Notices of the Royal Astronomical Society, 2022, 517(1): 1-27.
[16] TACCHELLA S, Smith A, Kannan R, et al. Hα emission in local galaxies: star formation, time variability, and the diffuse ionized gas. Monthly Notices of the Royal Astronomical Society, 2022, 513(2): 2904-2929.
[17] Felix S, Gogoi A, Shavelle K, et al. Decoding the Early Universe: Exploring a Merger Scenario for the High-Redshift Cluster JKCS041 using Numerical Models. arXiv preprint arXiv:2402.13334, 2024.
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