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Dark Energy Survey Year 3 results: cosmology from combined galaxy clustering and lensing -- validation on cosmological simulations

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . (2021)cite arxiv:2105.13547Comment: 29 pages, 10 figures, see this URL for the full DES Y3 cosmology release: https://www.darkenergysurvey.org/des-year-3-cosmology-results-papers/.

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The Dark Energy Survey: more than dark energy - an overview, , , , , , , , , and 131 other author(s). Monthly Notices of the Royal Astronomical Society, 460 (2): 1270--1299 (Aug 19, 2016)Dark Energy Survey Year 3 Results: Cosmology from Cosmic Shear and Robustness to Data Calibration, , , , , , , , , and 138 other author(s). (2021)cite arxiv:2105.13543Comment: 42 pages, 19 figures.Dark Energy Survey Year 3 Results: Constraints on cosmological parameters and galaxy bias models from galaxy clustering and galaxy-galaxy lensing using the redMaGiC sample, , , , , , , , , and 131 other author(s). (2021)cite arxiv:2105.13545Comment: 27 pages, 19 figures, comments welcome.Dark Energy Survey Year 3 results: Cosmological constraints from galaxy clustering and galaxy-galaxy lensing using the MagLim lens sample, , , , , , , , , and 134 other author(s). (2021)cite arxiv:2105.13546Comment: 25 pages, 16 figures, to be submitted to PRD. See https://www.darkenergysurvey.org/des-year-3-cosmology-results-papers/ for the full DES Y3 cosmology release.Galaxy-galaxy lensing with the DES-CMASS catalogue: measurement and constraints on the galaxy-matter cross-correlation, , , , , , , , , and 83 other author(s). (2021)cite arxiv:2104.11319Comment: 16 pages, 12 figures.Dark Energy Survey Year 1 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing, , , , , , , , , and 190 other author(s). (2017)cite arxiv:1708.01530Comment: 31 pages, 22 figures.A gravitational-wave standard siren measurement of the Hubble constant, , , , , , , , , and 1304 other author(s). (2017)cite arxiv:1710.05835Comment: 26 pages, 5 figures, Nature in press. For more information see https://dcc.ligo.org/LIGO-P1700296/public.A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest., , , , , , , , , and 63 other author(s). CoRR, (2020)Dark Energy Survey Year 3 Results: Optimizing the Lens Sample in Combined Galaxy Clustering and Galaxy-Galaxy Lensing Analysis, , , , , , , , , and 66 other author(s). (2020)cite arxiv:2011.03411Comment: 24 pages, 15 figures, see http://www.darkenergysurvey.org/des-year-3-cosmology-results-papers/ for the full DES Y3 cosmology release.Dark Energy Survey Year 3 Results: Point-Spread Function Modeling, , , , , , , , , and 72 other author(s). (2020)cite arxiv:2011.03409Comment: 19 pages, submitted to MNRAS. See https://www.darkenergysurvey.org/des-year-3-cosmology-results-papers/ for the full DES Y3 cosmology release.