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Published July 30, 2016 | Published + Submitted
Journal Article Open

mufasa: galaxy formation simulations with meshless hydrodynamics

Abstract

We present the mufasa suite of cosmological hydrodynamic simulations, which employs the gizmo meshless finite mass (MFM) code including H_2-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.

Additional Information

© 2016 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society. Accepted 2016 July 23. Received 2016 July 20. In original form 2016 April 5. First published online July 30, 2016. The authors thank D. Anglés-Alcázar, F. Durier, S. Huang, N. Katz, T. Naab, B. Oppenheimer, M. Rafieferantsoa, and J. Schaye for helpful conversations. The authors thank Paul Torrey for providing us with the Illustris data, Rob Crain and Joop Schaye for the EAGLE data, and Ananth Tenneti and Tiziani DiMatteo for the MB-II data. RD and RJT acknowledge support from the South African Research Chairs Initiative and the South African National Research Foundation. Support for RD was also provided by NASA ATP grant NNX12AH86G to the University of Arizona. Support for RJT was provided in part by the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative through Grant GBMF4561 to Matthew Turk, and by the National Science Foundation under grant #ACI-1535651. Support for PFH was provided by an Alfred P. Sloan Research Fellowship, NASA ATP Grant NNX14AH35G, and NSF Collaborative Research Grant #1411920 and CAREER grant #1455342. The simulations were run on the Pumbaa astrophysics computing cluster hosted at the University of the Western Cape, which was generously funded by UWC's Office of the Deputy Vice Chancellor. These mufasa simulations were run with revision e77f814 of Gizmo hosted at https://bitbucket.org/rthompson/gizmo.

Attached Files

Published - MNRAS-2016-Davé-3265-84.pdf

Submitted - 1604.01418v2.pdf

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Additional details

Created:
August 20, 2023
Modified:
October 23, 2023