DES Y3 + KiDS-1000: Consistent cosmology combining cosmic shear surveys

• DOI: 10.21105/astro.2305.17173
• Publication Date: 2023-10-21T07:43:24Z
• Authors: T.M.C. Abbott; M. Aguena; A. Alarcon; O. Alves; A. Amon; F. Andrade-Oliveira; M. Asgari; S. Avila; D. Bacon; K. Bechtol; M. R. Becker; G. M. Bernstein; E. Bertin; M. Bilicki; J. Blazek; S. Bocquet; D. Brooks; P. Burger; D. L. Burke; H. Camacho; A. Campos; A. Carnero Rosell; M. Carrasco Kind; J. Carretero; F. J. Castander; R. Cawthon; C. Chang; R. Chen; A. Choi; C. Conselice; J. Cordero; M. Crocce; L. N. da Costa; M. E. da Silva Pe...; R. Dalal; C. Davis; J. T. A. de Jong; J. DeRose; S. Desai; H. T. Diehl; S. Dodelson; P. Doel; C. Doux; A. Drlica-Wagner; A. Dvornik; K. Eckert; T. F. Eifler; J. Elvin-Poole; S. Everett; X. Fang; I. Ferrero; A. Ferté; B. Flaugher; O. Friedrich; J. Frieman; J. García-Bellido; M. Gatti; G. Giannini; B. Giblin; D. Gruen; R. A. Gruendl; G. Gutierrez; I. Harrison; W. G. Hartley; K. Herner; C. Heymans; H. Hildebrandt; S. R. Hinton; H. Hoekstra; D. L. Hollowood; K. Honscheid; H. Huang; E. M. Huff; D. Huterer; D. J. James; M. Jarvis; N. Jeffrey; T. Jeltema; B. Joachimi; S. Joudaki; A. Kannawadi; E. Krause; K. Kuehn; K. Kuijken; N. Kuropatkin; O. Lahav; P.-F. Leget; P. Lemos; S.-S. Li; X. Li; A. R. Liddle; M. Lima; C.-A. Lin; H. Lin; N. MacCrann; C. Mahony; J. L. Marshall; J. McCullough; J. Mena-Fernández; F. Menanteau; R. Miquel; J. J. Mohr; J. Muir; J. Myles; N. Napolitano; A. Navarro-Alsina; R. L. C. Ogando; A. Palmese; S. Pandey; Y. Park; M. Paterno; J. A. Peacock; D. Petravick; A. Pieres; A. A. Plazas Malagón; A. Porredon; J. Prat; M. Radovich; M. Raveri; R. Reischke; N. C. Robertson; R. P. Rollins; A. K. Romer; A. Roodman; E. S. Rykoff; S. Samuroff; C. Sánchez; E. Sanchez; J. Sanchez; P. Schneider; L. F. Secco; I. Sevilla-Noarbe; H.-Y. Shan; E. Sheldon; T. Shin; C. Sifón; M. Smith; M. Soares-Santos; B. Stölzner; E. Suchyta; M. E. C. Swanson; G. Tarle; D. Thomas; C. To; M. A. Troxel; T. Tröster; I. Tutusaus; J. L. van den Busch; T. N. Varga; A. R. Walker; N. Weaverdyck; R. H. Wechsler; J. Weller; P. Wiseman; A. H. Wright; B. Yanny; B. Yin; M. Yoon; Y. Zhang; J. Zuntz
• Keywords: satellite: Planck; Cosmology and Nongalactic Astrophysics (astro-ph.CO); KIDS; astronomi: 438; Astronomy; FOS: Physical sciences; feedback; QB1-991; cosmic background radiation; Astrophysics; 530; matter: power spectrum: nonlinear; statistical analysis; gravitation: lens; cosmological model: parameter space; model: nonlinear; cosmological parameters; dark energy; hybrid; Kilo-Degree Survey; Dark Energy Survey; alignment; DES; 520; Cosmology; baryon; QB460-466; confidence limit; 13. Climate action; VDP::Astrofysikk; Weak Gravitational Lensing; higher-dimensional; [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]; [PHYS.ASTR] Physics [physics]/Astrophysics [astro-ph]; cosmic shear; Astrophysics - Cosmology and Nongalactic Astrophysics

40 pages, 21 figures, 15 tables, accepted Open Journal of Astrophysics. Download the chains from https://des.ncsa.illinois.edu/releases/y3a2/Y3key-joint-des-kids or create your own chains with CosmoSIS using https://github.com/joezuntz/cosmosis-standard-library/blob/main/examples/des-y3_and_kids-1000.ini Watch the core team discuss this analysis at https://cosmologytalks.com/2023/05/26/des-kids<br/>We present a joint cosmic shear analysis of the Dark Energy Survey (DES Y3) and the Kilo-Degree Survey (KiDS-1000) in a collaborative effort between the two survey teams. We find consistent cosmological parameter constraints between DES Y3 and KiDS-1000 which, when combined in a joint-survey analysis, constrain the parameter $S_8 = σ_8 \sqrt{Ω_{\rm m}/0.3}$ with a mean value of $0.790^{+0.018}_{-0.014}$. The mean marginal is lower than the maximum a posteriori estimate, $S_8=0.801$, owing to skewness in the marginal distribution and projection effects in the multi-dimensional parameter space. Our results are consistent with $S_8$ constraints from observations of the cosmic microwave background by Planck, with agreement at the $1.7σ$ level. We use a Hybrid analysis pipeline, defined from a mock survey study quantifying the impact of the different analysis choices originally adopted by each survey team. We review intrinsic alignment models, baryon feedback mitigation strategies, priors, samplers and models of the non-linear matter power spectrum.<br/>