The Aemulus Project. I. Numerical Simulations for Precision Cosmology

Joseph Derose, Risa H. Wechsler, Jeremy L. Tinker, Matthew R. Becker, Yao Yuan Mao, Thomas McClintock, Sean McLaughlin, Eduardo Rozo, Zhongxu Zhai

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

The 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 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 ∼ 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 ∼ 4 h Mpc-1. We provide the halo catalogs and snapshots detailed in this work to the community at https://AemulusProject.github.io.

Original languageEnglish (US)
Article number69
JournalAstrophysical Journal
Volume875
Issue number1
DOIs
StatePublished - Apr 10 2019

Fingerprint

cosmology
halos
galaxies
simulation
statistics
galactic evolution
prediction
predictions
softening
systematic errors
catalogs
supernovae
power spectra
baryons
acoustics
oscillation
project
harmonics
microwaves
oscillations

Keywords

  • large-scale structure of universe
  • methods: numerical
  • methods: statistical

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science

Cite this

Derose, 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. Astrophysical Journal, 875(1), [69]. https://doi.org/10.3847/1538-4357/ab1085

The Aemulus Project. I. Numerical Simulations for Precision Cosmology. / Derose, Joseph; Wechsler, Risa H.; Tinker, Jeremy L.; Becker, Matthew R.; Mao, Yao Yuan; McClintock, Thomas; McLaughlin, Sean; Rozo, Eduardo; Zhai, Zhongxu.

In: Astrophysical Journal, Vol. 875, No. 1, 69, 10.04.2019.

Research output: Contribution to journalArticle

Derose, J, Wechsler, RH, Tinker, JL, Becker, MR, Mao, YY, McClintock, T, McLaughlin, S, Rozo, E & Zhai, Z 2019, 'The Aemulus Project. I. Numerical Simulations for Precision Cosmology', Astrophysical Journal, vol. 875, no. 1, 69. https://doi.org/10.3847/1538-4357/ab1085
Derose J, Wechsler RH, Tinker JL, Becker MR, Mao YY, McClintock T et al. The Aemulus Project. I. Numerical Simulations for Precision Cosmology. Astrophysical Journal. 2019 Apr 10;875(1). 69. https://doi.org/10.3847/1538-4357/ab1085
Derose, Joseph ; Wechsler, Risa H. ; Tinker, Jeremy L. ; Becker, Matthew R. ; Mao, Yao Yuan ; McClintock, Thomas ; McLaughlin, Sean ; Rozo, Eduardo ; Zhai, Zhongxu. / The Aemulus Project. I. Numerical Simulations for Precision Cosmology. In: Astrophysical Journal. 2019 ; Vol. 875, No. 1.
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