Paper
KiDS-Legacy: Cosmological constraints from cosmic shear with the complete Kilo-Degree Survey
Authors
A. Wright, B. Stolzner, M. Asgari, M. Bilicki, B. Giblin, C. Heymans, Hendrik Hildebrandt, Henk Hoekstra, B. Joachimi, K. Kuijken, Shun-Sheng Li, R. Reischke, M. V. Wietersheim-Kramsta, Mijin Yoon, P. Burger, N. E. Chisari, Jelte de Jong, A. Dvornik, C. Georgiou, J. Harnois-D'eraps, P. Jalan, Anjitha John William, S. Joudaki, G. Lesci, L. Linke, Arthur Loureiro, C. Mahony, M. Maturi, Lance Miller, L. Moscardini, Nicola R. Napolitano, L. Porth, M. Radovich, Peter Schneider, T. Troster, A. Wittje, Ziang Yan, Yun-Hao Zhang
Abstract
We present cosmic shear constraints from the completed Kilo-Degree Survey (KiDS), where the cosmological parameter , is found to be in agreement () with results from the Planck Legacy cosmic microwave background experiment. The final KiDS footprint spans square degrees of deep nine-band imaging across the optical and near-infrared, along with an extra square degrees of KiDS-like calibration observations of deep spectroscopic surveys. Improvements in our redshift distribution estimation methodology, combined with our enhanced calibration data and multi-band image simulations, allow us to extend our lensed sample out to a photometric redshift of . Compared to previous KiDS analyses, the increased survey area and redshift depth results in a improvement in constraining power in terms of , where has been optimised to match the revised degeneracy direction of and . We adopt a new physically motivated intrinsic alignment model that depends jointly on the galaxy sample's halo mass and spectral type distributions, and that is informed by previous direct alignment measurements. We also marginalise over our uncertainty on the impact of baryon feedback on the non-linear matter power spectrum. Comparing to previous KiDS analyses, we conclude that the increase seen in primarily results from our improved redshift distribution estimation and calibration, as well as new survey area and improved image reduction. Our companion paper Stölzner et al. (submitted) presents a full suite of internal and external consistency tests, finding the KiDS-Legacy data set to be the most internally robust sample produced by KiDS to date.