KiDS-1000 cosmology: Cosmic shear constraints and comparison between two point statistics

Abstract
We present cosmological constraints from a cosmic shear analysis of the fourth data release of the Kilo-Degree Survey (KiDS-1000), which doubles the survey area with nine-band optical and near-infrared photometry with respect to previous KiDS analyses. Adopting a spatially flat standard cosmological model, we find S-8 = sigma (8)(Omega (m)/0.3)(0.5) = 0.759(-0.021)(+0.024) S 8 = sigma 8 ( Omega m / 0.3 ) 0.5 = 0 . 759 - 0.021 + 0.024 for our fiducial analysis, which is in 3 sigma tension with the prediction of the Planck Legacy analysis of the cosmic microwave background. We compare our fiducial COSEBIs (Complete Orthogonal Sets of E/B-Integrals) analysis with complementary analyses of the two-point shear correlation function and band power spectra, finding the results to be in excellent agreement. We investigate the sensitivity of all three statistics to a number of measurement, astrophysical, and modelling systematics, finding our S-8 constraints to be robust and dominated by statistical errors. Our cosmological analysis of different divisions of the data passes the Bayesian internal consistency tests, with the exception of the second tomographic bin. As this bin encompasses low-redshift galaxies, carrying insignificant levels of cosmological information, we find that our results are unchanged by the inclusion or exclusion of this sample.
Funding Information
  • European Research Council (647112, 770935)
  • H2020 Marie Skłodowska-Curie Actions (797794)
  • Max-Planck-Gesellschaft
  • Alexander von Humboldt-Stiftung
  • Deutsche Forschungsgemeinschaft (Hi 1495/5-1)
  • Netherlands Organisation for Scientific Research (Vici grant 639.043.512, 621.016.402)
  • UCL Cosmoparticle Initiative
  • Polish Ministry of Science and Higher Education (DIR/WK/2018/12)
  • Polish National Science Center (2018/30/E/ST9/00698, 2018/31/G/ST9/03388)
  • Science and Technology Facilities Council (ST/N000919/1)
  • National Natural Science Foundation of China-Guangdong Joint Fund (11973070)
  • Shanghai Committee of Science and Technology (19ZR1466600)
  • Key Research Program of Frontier Sciences (ZDBS-LY-7013)