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Title: The Aemulus Project. I. Numerical Simulations for Precision Cosmology

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 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%) ormore » 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.« less

Authors:
; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Org.:
National Science Foundation (NSF); Alfred P. Sloan Foundation; USDOE Office of Science - Office of High Energy Physics
OSTI Identifier:
1571265
DOE Contract Number:  
AC02-06CH11357
Resource Type:
Journal Article
Journal Name:
Astrophysical Journal
Additional Journal Information:
Journal Volume: 875; Journal Issue: 1
Country of Publication:
United States
Language:
English
Subject:
large-scale structure of universe; methods: numerical; methods: statistical

Citation Formats

DeRose, Joseph, Wechsler, Risa H., Tinker, Jeremy L., Becker, Matthew R., Mao, Yao-Yuan, McClintock, Thomas, McLaughlin, Sean, Rozo, Eduardo, and Zhai, Zhongxu. The Aemulus Project. I. Numerical Simulations for Precision Cosmology. United States: N. p., 2019. Web. doi: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. United States. doi: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, and Zhai, Zhongxu. Wed . "The Aemulus Project. I. Numerical Simulations for Precision Cosmology". United States. doi:10.3847/1538-4357/ab1085.
@article{osti_1571265,
title = {The Aemulus Project. I. Numerical Simulations for Precision Cosmology},
author = {DeRose, Joseph and Wechsler, Risa H. and Tinker, Jeremy L. and Becker, Matthew R. and Mao, Yao-Yuan and McClintock, Thomas and McLaughlin, Sean and Rozo, Eduardo and Zhai, Zhongxu},
abstractNote = {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 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.},
doi = {10.3847/1538-4357/ab1085},
journal = {Astrophysical Journal},
number = 1,
volume = 875,
place = {United States},
year = {2019},
month = {4}
}

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