Cosmology from large-scale galaxy clustering and galaxy-galaxy lensing with dark energy survey science verification data

Romer, Kathy and The DES Collaboration, (2016) Cosmology from large-scale galaxy clustering and galaxy-galaxy lensing with dark energy survey science verification data. Monthly Notices of the Royal Astronomical Society, 464 (4). pp. 4045-4062. ISSN 0035-8711

[img] PDF - Published Version
Download (1MB)

Abstract

We present cosmological constraints from the Dark Energy Survey (DES) using a combined analysis of angular clustering of red galaxies and their cross-correlation with weak gravitational lensing of background galaxies. We use a 139 deg2 contiguous patch of DES data from the Science Verification (SV) period of observations. Using large-scale measurements, we constrain the matter density of the Universe as Ωm = 0.31 ± 0.09 and the clustering amplitude of the matter power spectrum as σ8 = 0.74 ± 0.13 after marginalizing over seven nuisance parameters and three additional cosmological parameters. This translates into S8 ≡ σ8(Ωm/0.3)0.16 = 0.74 ± 0.12 for our fiducial lens redshift bin at 0.35 < z < 0.5, while S8 = 0.78 ± 0.09 using two bins over the range 0.2 < z < 0.5. We study the robustness of the results under changes in the data vectors, modelling and systematics treatment, including photometric redshift and shear calibration uncertainties, and find consistency in the derived cosmological parameters. We show that our results are consistent with previous cosmological analyses from DES and other data sets and conclude with a joint analysis of DES angular clustering and galaxy–galaxy lensing with Planck Cosmic Microwave Background data, baryon acoustic oscillations and Supernova Type Ia measurements.

Item Type: Article
Schools and Departments: School of Mathematical and Physical Sciences > Physics and Astronomy
Research Centres and Groups: Astronomy Centre
Subjects: Q Science > QB Astronomy
Depositing User: Richard Chambers
Date Deposited: 28 Nov 2016 09:54
Last Modified: 07 Mar 2017 08:26
URI: http://sro.sussex.ac.uk/id/eprint/65670

View download statistics for this item

📧 Request an update
Project NameSussex Project NumberFunderFunder Ref
Consolidated GrantG0927STFC-SCIENCE AND TECHNOLOGY FACILITIES COUNCILST/K001329/1