The Aemulus Project. I. Numerical Simulations for Precision Cosmology
Wechsler, Risa H.
Tinker, Jeremy L.
Becker, Matthew R.
AffiliationUniv Arizona, Dept Phys
MetadataShow full item record
PublisherIOP PUBLISHING LTD
CitationDeRose, J., Wechsler, R. H., Tinker, J. L., Becker, M. R., Mao, Y. Y., McClintock, T., ... & Zhai, Z. (2019). The Aemulus Project. I. Numerical Simulations for Precision Cosmology. The Astrophysical Journal, 875(1), 69.
RightsCopyright © 2019. The American Astronomical Society. All rights reserved.
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AbstractThe rapidly growing statistical precision of galaxy surveys has led to a need for ever more precise predictions of the observables used to constrain cosmological and galaxy formation models. The primary avenue through which such predictions will be obtained is suites of numerical simulations. These simulations must span the relevant model parameter spaces, be large enough to obtain the precision demanded by upcoming data, and be thoroughly validated in order to ensure accuracy. In this paper, we present one such suite of simulations, forming the basis for the AEMULUS Project, a collaboration devoted to precision emulation of galaxy survey observables. We have run a set of 75 (1.05 h(-1) Gpc)(3) simulations with mass resolution and force softening of 3.51 x 10(10) (Omega(m)/0.3) h(-1) M-circle dot and 20 h(-1) kpc, respectively, in 47 different wCDM cosmologies spanning the range of parameter space allowed by the combination of recent cosmic microwave background, baryon acoustic oscillation, and Type Ia supernova results. We present convergence tests of several observables including spherical overdensity halo mass functions, galaxy projected correlation functions, galaxy clustering in redshift space, and matter and halo correlation functions and power spectra. We show that these statistics are converged to 1% (2%) or to the sample variance of the statistic, whichever is larger, for halos with more than 500 (200) particles, respectively, and scales of r > 200 h(-1) kpc. in real space or k similar to 3 h Mpc(-1). in harmonic space for z <= 1. We find that the dominant source of uncertainty comes from varying the particle loading of the simulations. This leads to large systematic errors for statistics using halos with fewer than 200 particles and scales smaller than k similar to 4 h Mpc(-1). We provide the halo catalogs and snapshots detailed in this work to the community at. https://AemulusProject.github.io.
VersionFinal published version
SponsorsUS Department of Energy [DE-AC02-76SF00515]; NSF [AST-1211889]; DOE [DE-SC0015975]; Sloan Foundation [FG-2016-6443]; Samuel P. Langley PITT PACC Postdoctoral Fellowship; Office of Science of the US Department of Energy [DE-AC02-05CH11231]