The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
mufasa: galaxy formation simulations with meshless hydrodynamics
Open accessAbstract
We present the mufasa suite of cosmological hydrodynamic simulations, which employs the gizmo meshless finite mass (MFM) code including H2-based star formation, nine-element chemical evolution, two-phase kinetic outflows following scalings from the Feedback in Realistic Environments zoom simulations, and evolving halo mass-based quenching. Our fiducial (50 h−1 Mpc)3 volume is evolved to z = 0 with a quarter billion elements. The predicted galaxy stellar mass functions (GSMFs) reproduces observations from z = 4 → 0 to ≲ 1.2σ in cosmic variance, providing an unprecedented match to this key diagnostic. The cosmic star formation history and stellar mass growth show general agreement with data, with a strong archaeological downsizing trend such that dwarf galaxies form the majority of their stars after z ∼ 1. We run 25 and 12.5 h−1 Mpc volumes to z = 2 with identical feedback prescriptions, the latter resolving all hydrogen-cooling haloes, and the three runs display fair resolution convergence. The specific star formation rates broadly agree with data at z = 0, but are underpredicted at z ∼ 2 by a factor of 3, re-emphasizing a longstanding puzzle in galaxy evolution models. We compare runs using MFM and two flavours of smoothed particle hydrodynamics, and show that the GSMF is sensitive to hydrodynamics methodology at the ∼×2 level, which is sub-dominant to choices for parametrizing feedback.
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Cites
A Universal Density Profile from Hierarchical Clustering
Navarro, J. F., Frenk, C. S., & White, S. D. M. (1997) · The Astrophysical Journal · doi:10.1086/304888 · Cited by 9,917
The cosmological simulation code gadget-2
Springel, V. (2005) · Monthly Notices of the Royal Astronomical Society · doi:10.1111/j.1365-2966.2005.09655.x · Cited by 6,368
THE AVERAGE STAR FORMATION HISTORIES OF GALAXIES IN DARK MATTER HALOS FROM z = 0-8
Behroozi, P. S., Wechsler, R. H., & Conroy, C. (2013) · The Astrophysical Journal · doi:10.1088/0004-637x/770/1/57 · Cited by 2,167
Cited by
Simulating galaxy formation with the IllustrisTNG model
Pillepich, A., Springel, V., Nelson, D., Genel, S., Naiman, J., Pakmor, R., Hernquist, L., Torrey, P., Vogelsberger, M., Weinberger, R., et al. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx2656 · Cited by 2,007
UniverseMachine: The correlation between galaxy growth and dark matter halo assembly from z = 0−10
Behroozi, P., Wechsler, R. H., Hearin, A. P., & Conroy, C. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz1182 · Cited by 1,243
Theoretical Challenges in Galaxy Formation
Naab, T., & Ostriker, J. P. (2017) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev-astro-081913-040019 · Cited by 722
The CAMELS Project: Cosmology and Astrophysics with Machine-learning Simulations
Villaescusa-Navarro, F., Anglés-Alcázar, D., Genel, S., Spergel, D. N., S. Somerville, R., Dave, R., Pillepich, A., Hernquist, L., Nelson, D., Torrey, P., et al. (2021) · The Astrophysical Journal · doi:10.3847/1538-4357/abf7ba · Cited by 304
Pfeffer, J., Kruijssen, J. M. D., Crain, R. A., & Bastian, N. (2018) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx3124 · Cited by 243
Metadata
- Authors
- Davé, R., Thompson, R., & Hopkins, P. F.
- Venue
- Monthly Notices of the Royal Astronomical Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2016-07-30
- Volume
- 462
- Issue
- 3
- Pages
- 3265-3284
- ISSN
- 0035-8711 (ISSN-L)
- 1365-2966
- OpenAlex
- W2338337769
- Cited by
- 334
- References
- 3
- FWCI
- 18.39
- Type
- journal article
- Language
- en
- Open access
- green
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