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

Journal Article · · The Astrophysical Journal
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, 0.1h-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, ƒ, and its degenerate combination, ƒσ8. 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 ƒσ8 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 ƒ and σ8, yielding an 11% constraint on ƒ alone for a BOSSlike 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:
Argonne National Laboratory (ANL)
Sponsoring Organization:
National Science Foundation (NSF); USDOE Office of Science - Office of Basic Energy Sciences
DOE Contract Number:
AC02-06CH11357
OSTI ID:
1571279
Journal Information:
The Astrophysical Journal, Journal Name: The Astrophysical Journal Journal Issue: 1 Vol. 874; ISSN 0004-637X
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English

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Cited By (13)

Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering journal October 2019
Cosmology with galaxy–galaxy lensing on non-perturbative scales: emulation method and application to BOSS LOWZ journal December 2019
Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering text January 2018
Cosmological Evidence Modelling: a new simulation-based approach to constrain cosmology on non-linear scales journal September 2019
Accelerating Large-Scale-Structure data analyses by emulating Boltzmann solvers and Lagrangian Perturbation Theory text January 2021
Cosmological information content in redshift-space power spectrum of SDSS-like galaxies in the quasinonlinear regime up to k = 0.3     h   Mpc − 1 journal January 2020
Prediction of H α and [O iii] emission line galaxy number counts for future galaxy redshift surveys journal October 2019
On the road to percent accuracy II: calibration of the non-linear matter power spectrum for arbitrary cosmologies text January 2019
The Aemulus Project. I. Numerical Simulations for Precision Cosmology journal April 2019
Active galactic nuclei and their large-scale structure: an eROSITA mock catalogue journal May 2019
Cosmological Evidence Modelling: a new simulation-based approach to constrain cosmology on non-linear scales text January 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

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