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KiDS+2dFLenS+GAMA: Testing the cosmological model with the EG statistic

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posted on 2024-08-06, 11:38 authored by A. Amon, Chris BlakeChris Blake, C. Heymans, C. D. Leonard, M. Asgari, M. Bilicki, A. Choi, T. Erben, Karl GlazebrookKarl Glazebrook, J. Harnois-Déraps, H. Hildebrandt, H. Hoekstra, B. Joachimi, Shahab Joudaki, K. Kuijken, C. Lidman, J. Loveday, D. Parkinson, E. A. Valentijn, C. Wolf
We present a new measurement of EG, which combines measurements of weak gravitational lensing, galaxy clustering, and redshift-space distortions. This statistic was proposed as a consistency test of General Relativity (GR) that is insensitive to linear, deterministic galaxy bias, and the matter clustering amplitude. We combine deep imaging data from KiDS with overlapping spectroscopy from 2dFLenS, BOSS DR12, and GAMA and find EG(z = 0.267) = 0.43 ± 0.13 (GAMA), EG(z = 0.305) = 0.27 ± 0.08 (LOWZ+2dFLOZ), and EG(z = 0.554) = 0.26 ± 0.07 (CMASS+2dFHIZ). We demonstrate that the existing tension in the value of thematter density parameter hinders the robustness of this statistic as solely a test of GR. We find that our EG measurements, as well as existing ones in the literature, favour a lower matter density cosmology than the cosmic microwave background. For a flat ΛCDM Universe, we find Ωm(z = 0) = 0.25 ± 0.03. With this paper, we publicly release the 2dFLenS data set at: http://2dflens.swin.edu.au.

Funding

Dutch Research Council

Canada Foundation for Innovation

European Commission

Deutsche Forschungsgemeinschaft

Australian Research Council

Science and Technology Facilities Council

European Research Council

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ISSN

1365-2966

Journal title

Monthly Notices of the Royal Astronomical Society

Volume

479

Issue

3

Pagination

15 pp

Publisher

Oxford University Press

Copyright statement

This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society ©: 2018 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.

Language

eng

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