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Emulating galaxy clustering and galaxy–galaxy lensing into the deeply non-linear regime: methodology, information, and forecasts

Journal Article · · Monthly Notices of the Royal Astronomical Society
 [1];  [2];  [2];  [3];  [3];  [4];  [3];  [5];  [5]
  1. The Ohio State Univ., Columbus, OH (United States); DOE/OSTI
  2. The Ohio State Univ., Columbus, OH (United States)
  3. Harvard-Smithsonian Center for Astrophysics, Cambridge, MA (United States)
  4. New York Univ., NY (United States)
  5. Univ. of Arizona, Tucson, AZ (United States)
The combination of galaxy–galaxy lensing (GGL) with galaxy clustering is one of the most promising routes to determining the amplitude of matter clustering at low redshifts. Here, we show that extending clustering+GGL analyses from the linear regime down to |$${\sim } 0.5 \, h^{-1}$$| Mpc scales increases their constraining power considerably, even after marginalizing over a flexible model of non-linear galaxy bias. Using a grid of cosmological N-body simulations, we construct a Taylor-expansion emulator that predicts the galaxy autocorrelation ξgg(r) and galaxy-matter cross-correlation ξgm(r) as a function of σ8, Ωm, and halo occupation distribution (HOD) parameters, which are allowed to vary with large-scale environment to represent possible effects of galaxy assembly bias. We present forecasts for a fiducial case that corresponds to BOSS LOWZ galaxy clustering and SDSS-depth weak lensing (effective source density ~0.3 arcmin-2). Using tangential shear and projected correlation function measurements over |$$0.5 \le r_\mathrm{ p} \le 30 \, h^{-1}$$| Mpc yields a 2 per cent constraint on the parameter combination |$$\sigma _8\Omega _\mathrm{ m}^{0.6}$$|, a factor of two better than a constraint that excludes non-linear scales (|$$r_\mathrm{ p} \gt 2 \, h^{-1}$$| Mpc, |$$4 \, h^{-1}$$| Mpc for γt, |$$w$$|p). Much of this improvement comes from the non-linear clustering information, which breaks degeneracies among HOD parameters. Increasing the effective source density to 3 arcmin-2 sharpens the constraint on |$$\sigma _8\Omega _\mathrm{ m}^{0.6}$$| by a further factor of two. With robust modelling into the non-linear regime, low-redshift measurements of matter clustering at the 1-per cent level with clustering+GGL alone are well within reach of current data sets such as those provided by the Dark Energy Survey.
Research Organization:
Harvard Univ., Cambridge, MA (United States); Krell Institute, Ames, IA (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC)
Grant/Contract Number:
FG02-97ER25308; SC0013718
OSTI ID:
1610360
Journal Information:
Monthly Notices of the Royal Astronomical Society, Journal Name: Monthly Notices of the Royal Astronomical Society Journal Issue: 1 Vol. 484; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English

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Cosmological parameter constraints from galaxy-galaxy lensing and galaxy clustering with the SDSS DR7 text January 2012
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redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data text January 2015
Improving Initial Conditions for Cosmological $N$-Body Simulations text January 2016
KiDS-450: Cosmological parameter constraints from tomographic weak gravitational lensing text January 2016
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The Abacus Cosmos: A Suite of Cosmological N-body Simulations text January 2017
Theoretical Models of the Halo Occupation Distribution: Separating Central and Satellite Galaxies text January 2004
The Luminosity and Color Dependence of the Galaxy Correlation Function text January 2004
Systematic errors in weak lensing: application to SDSS galaxy-galaxy weak lensing text January 2005
From Galaxy-Galaxy Lensing to Cosmological Parameters text January 2005
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A theoretical framework for combining techniques that probe the link between galaxies and dark matter text January 2011
Joint analysis of gravitational lensing, clustering, and abundance: Toward the unification of large-scale structure analysis text January 2012
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Report from the Tri-Agency Cosmological Simulation Task Force text January 2020
How to optimally constrain galaxy assembly bias: supplement projected correlation functions with count-in-cells statistics journal June 2019
Basilisk: Bayesian hierarchical inference of the galaxy–halo connection using satellite kinematics – I. Method and validation journal July 2019
Cosmological Evidence Modelling: a new simulation-based approach to constrain cosmology on non-linear scales journal September 2019
Controlling and leveraging small-scale information in tomographic galaxy–galaxy lensing 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. III. Emulation of the Galaxy Correlation Function journal March 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
The Aemulus Project III: Emulation of the Galaxy Correlation Function text January 2018
Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering text January 2018
BASILISK: Bayesian Hierarchical Inference of the Galaxy-Halo Connection using Satellite Kinematics--I. Method and Validation text January 2019
Cosmological Evidence Modelling: a new simulation-based approach to constrain cosmology on non-linear scales text January 2019