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Published April 1, 2019 | Submitted + Published
Journal Article Open

The robustness of cosmological hydrodynamic simulation predictions to changes in numerics and cooling physics

Abstract

We test and improve the numerical schemes in our smoothed particle hydrodynamics (SPH) code for cosmological simulations, including the pressure–entropy formulation (PESPH), a time-dependent artificial viscosity, a refined time-step criterion, and metal-line cooling that accounts for photoionization in the presence of a recently refined Haardt & Madau model of the ionizing background. The PESPH algorithm effectively removes the artificial surface tension present in the traditional SPH formulation, and in our test simulations, it produces better qualitative agreement with mesh-code results for Kelvin–Helmholtz instability and cold cloud disruption. Using a set of cosmological simulations, we examine many of the quantities we have studied in previous work. Results for galaxy stellar and H I mass functions, star formation histories, galaxy scaling relations, and statistics of the Lyα forest are robust to the changes in numerics and microphysics. As in our previous simulations, cold gas accretion dominates the growth of high-redshift galaxies and of low-mass galaxies at low redshift, and recycling of winds dominates the growth of massive galaxies at low redshift. However, the PESPH simulation removes spurious cold clumps seen in our earlier simulations, and the accretion rate of hot gas increases by up to an order of magnitude at some redshifts. The new numerical model also influences the distribution of metals among gas phases, leading to considerable differences in the statistics of some metal absorption lines, most notably Ne VIII.

Additional Information

© 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model) Accepted 2018 December 20. Received 2018 December 10; in original form 2018 October 29. We thank the anonymous referee for useful comments. We thank Amanda Ford for sharing her analysis code for generating mock QSO lines, and Volker Springel for providing the GADGET-3 code. We have used SPLASH (Price 2007) for visualization. We acknowledge support by NSF grant AST-1517503, NASA ATP grant 80NSSC18K1016, and HST Theory grant HST-AR-14299. DW acknowledges support of NSF grant AST-1516997.

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Created:
August 19, 2023
Modified:
October 20, 2023