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Title: The Aemulus Project. III. Emulation of the Galaxy Correlation Function

Journal Article · · The Astrophysical Journal (Online)
ORCiD logo [1];  [1];  [2];  [3]; ORCiD logo [4];  [5];  [3];  [5]; ORCiD logo [3]
  1. New York Univ. (NYU), NY (United States). Dept. of Physics, Center for Cosmology and Particle Physics
  2. Stanford Univ., CA (United States). Dept. of Physics, Kavli Inst. for Particle Astrophysics and Cosmology; SLAC National Accelerator Lab., Menlo Park, CA (United States). Dept. of Particle Physics and Astrophysics; Civis Analytics, Chicago, IL (United States)
  3. Stanford Univ., CA (United States). Dept. of Physics, Kavli Inst. for Particle Astrophysics and Cosmology; SLAC National Accelerator Lab., Menlo Park, CA (United States). Dept. of Particle Physics and Astrophysics
  4. Univ. of Pittsburgh, PA (United States). Dept. of Physics and Astronomy, The Pittsburg Particle Physics, Astrophysics and Cosmology Center (PITT PACC)
  5. Univ. of Arizona, Tucson, AZ (United States). Dept. of Physics
+ Show Author Affiliations

Using the N-body simulations of the Aemulus Project, we construct an emulator for the nonlinear clustering of galaxies in real and redshift space. We construct our model of galaxy bias using the halo occupation framework, accounting for possible velocity bias. The model includes 15 parameters, including both cosmological and galaxy bias parameters. We demonstrate that our emulator achieves ~1% precision at the scales of interest, 0.1 h -1 Mpc < r < 10 h -1 Mpc, and recovers the true cosmology when tested against independent simulations. Our primary parameters of interest are related to the growth rate of structure, f, and its degenerate combination, fσ 8. Using this emulator, we show that the constraining power on these parameters monotonically increases as smaller scales are included in the analysis, all the way down to 0.1 h -1 Mpc. For a BOSS-like survey, the constraints on fσ 8 from r < 30 h -1 Mpc scales alone are nearly a factor of two tighter than those from the fiducial BOSS analysis of redshift-space clustering using perturbation theory at larger scales. The combination of real- and redshift-space clustering allows us to break the degeneracy between f and σ 8, yielding an 11% constraint on f alone for a BOSS-like analysis. The current Aemulus simulations limit this model to surveys of massive galaxies. Future simulations will allow this framework to be extended to all galaxy target types, including emission-line galaxies.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-76SF00515; AC02-05CH11231
OSTI ID:
1543134
Alternate ID(s):
OSTI ID: 1527107
Journal Information:
The Astrophysical Journal (Online), Vol. 874, Issue 1; ISSN 1538-4357
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 52 works
Citation information provided by
Web of Science

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The clustering of massive galaxies at z~0.5 from the first semester of BOSS data text January 2010
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Convolution Lagrangian perturbation theory for biased tracers text January 2012
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A 2.5% measurement of the growth rate from small-scale redshift space clustering of SDSS-III CMASS galaxies text January 2014
Planck 2015 results. XIII. Cosmological parameters text January 2015
The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Overview and Early Data text January 2015
Gaussian covariance matrices for anisotropic galaxy clustering measurements text January 2015
The clustering of luminous red galaxies at z $\sim$ 0.7 from eBOSS and BOSS data text January 2016
Emulating galaxy clustering and galaxy-galaxy lensing into the deeply nonlinear regime: methodology, information, and forecasts text January 2017
Halo occupation numbers and galaxy bias text January 2000
Theoretical Models of the Halo Occupation Distribution: Separating Central and Satellite Galaxies text January 2004
On the Mass-to-Light Ratio of Large Scale Structure text January 2004
The 2dF Galaxy Redshift Survey: Power-spectrum analysis of the final dataset and cosmological implications text January 2005
The Dependence of Halo Clustering on Halo Formation History, Concentration, and Occupation text January 2005
Cosmic Voids and Galaxy Bias in the Halo Occupation Framework text January 2006
Galaxy Evolution from Halo Occupation Distribution Modeling of DEEP2 and SDSS Galaxy Clustering text January 2007
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Cited By (12)

Active galactic nuclei and their large-scale structure: an eROSITA mock catalogue journal May 2019
How to optimally constrain galaxy assembly bias: supplement projected correlation functions with count-in-cells statistics journal June 2019
On the road to per cent accuracy – II. Calibration of the non-linear matter power spectrum for arbitrary cosmologies journal September 2019
Cosmological Evidence Modelling: a new simulation-based approach to constrain cosmology on non-linear scales journal September 2019
Prediction of H α and [O iii] emission line galaxy number counts for future galaxy redshift surveys journal October 2019
Cosmology with galaxy–galaxy lensing on non-perturbative scales: emulation method and application to BOSS LOWZ journal December 2019
The Aemulus Project. I. Numerical Simulations for Precision Cosmology journal April 2019
Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering journal October 2019
Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering text January 2018
On the road to percent accuracy II: calibration of the non-linear matter power spectrum for arbitrary cosmologies text January 2019
Cosmological Evidence Modelling: a new simulation-based approach to constrain cosmology on non-linear scales text January 2019
Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory text January 2021

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