MUFASA: Galaxy Formation Simulations With Meshless Hydrodynamics. Davé, R., Thompson, R. J., & Hopkins, P. F. Monthly Notices of the Royal Astronomical Society, 462(3):3265–3284, November, 2016. arXiv: 1604.01418Paper doi abstract bibtex 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 Mpc/h)\textasciicircum3 volume is evolved to z=0 with a quarter billion particles, The predicted galaxy stellar mass functions (GSMF) reproduce observations from z=4-0 to \textless1.2sigma 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\textasciitilde1. We run 25 Mpc/h and 12.5 Mpc/h volumes to z=2 with identical feedback prescriptions, the latter resolving all hydrogen-cooling halos, 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\textasciitilde2 by a factor of three, 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 \textasciitildex2 level, which is sub-dominant to choices for parameterising feedback.
@article{dave_mufasa_2016,
title = {{MUFASA}: {Galaxy} {Formation} {Simulations} {With} {Meshless} {Hydrodynamics}},
volume = {462},
issn = {0035-8711, 1365-2966},
shorttitle = {{MUFASA}},
url = {http://arxiv.org/abs/1604.01418},
doi = {10.1093/mnras/stw1862},
abstract = {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 Mpc/h){\textasciicircum}3 volume is evolved to z=0 with a quarter billion particles, The predicted galaxy stellar mass functions (GSMF) reproduce observations from z=4-0 to {\textless}1.2sigma 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{\textasciitilde}1. We run 25 Mpc/h and 12.5 Mpc/h volumes to z=2 with identical feedback prescriptions, the latter resolving all hydrogen-cooling halos, 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{\textasciitilde}2 by a factor of three, 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 {\textasciitilde}x2 level, which is sub-dominant to choices for parameterising feedback.},
number = {3},
journal = {Monthly Notices of the Royal Astronomical Society},
author = {Davé, Romeel and Thompson, Robert J. and Hopkins, Philip F.},
month = nov,
year = {2016},
note = {arXiv: 1604.01418},
keywords = {Astrophysics - Astrophysics of Galaxies},
pages = {3265--3284},
}
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Our fiducial (50 Mpc/h)\\textasciicircum3 volume is evolved to z=0 with a quarter billion particles, The predicted galaxy stellar mass functions (GSMF) reproduce observations from z=4-0 to \\textless1.2sigma 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\\textasciitilde1. We run 25 Mpc/h and 12.5 Mpc/h volumes to z=2 with identical feedback prescriptions, the latter resolving all hydrogen-cooling halos, 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\\textasciitilde2 by a factor of three, re-emphasizing a longstanding puzzle in galaxy evolution models. 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