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Lookup NU author(s): Dr Marika AsgariORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© The Authors 2025.We present the redshift calibration methodology and bias estimates for the cosmic shear analysis of the fifth and final data release (DR5) of the Kilo-Degree Survey (KiDS). KiDS-DR5 includes a greatly expanded compilation of calibrating spectra, drawn from 27 square degrees of dedicated optical and near-IR imaging taken over deep spectroscopic fields. The redshift distribution calibration leverages a range of new methods and updated simulations to produce the most precise N(z) bias estimates used by KiDS to date. Improvements to our colour-based redshift distribution measurement method using self-organising maps (SOMs) mean that we are able to use many more sources per tomographic bin for our cosmological analyses and better estimate the representation of our source sample given the available spec-z. We validated our colour-based redshift distribution estimates with spectroscopic cross-correlations (CCs). We find that improvements to our CC redshift distribution measurement methods mean that redshift distribution biases estimated between the SOM and CC methods are fully consistent on simulations, and the data calibration is consistent to better than 2σ in all tomographic bins.
Author(s): Wright AH, Hildebrandt H, Van Den Busch JL, Bilicki M, Heymans C, Joachimi B, Mahony C, Reischke R, Stolzner B, Wittje A, Asgari M, Chisari NE, Dvornik A, Georgiou C, Giblin B, Hoekstra H, Jalan P, William AJ, Joudaki S, Kuijken K, Lesci GF, Li S-S, Linke L, Loureiro A, Maturi M, Moscardini L, Porth L, Radovich M, Troster T, Von Wietersheim-Kramsta M, Yan Z, Yoon M, Zhang Y-H
Publication type: Article
Publication status: Published
Journal: Astronomy and Astrophysics
Year: 2025
Volume: 703
Online publication date: 14/11/2025
Acceptance date: 26/08/2025
Date deposited: 02/12/2025
ISSN (print): 0004-6361
ISSN (electronic): 1432-0746
Publisher: EDP Sciences
URL: https://doi.org/10.1051/0004-6361/202554909
DOI: 10.1051/0004-6361/202554909
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