KiDS-1000: Improved constraints on cosmology, intrinsic alignments and baryonic feedback from clipped cosmic shear
Benjamin Giblin, Joachim Harnois-Déraps, Louise Paquereau, Catherine Heymans
astro-ph.CO
Submitted: 2026-08-07
Updated: 2026-08-10
Comments: 24 pages, 15 figures, submitted to MNRAS
Code: https://github.com/TiagoBsCastro/SLICER
License: http://creativecommons.org/licenses/by/4.0/
The gist: We present improved cosmological constraints from the fourth data release of the Kilo-Degree Survey ("KiDS-1000") using "clipped" shear correlation functions.
Terminology
Abstract
We present improved cosmological constraints from the fourth data release of the Kilo-Degree Survey ("KiDS-1000") using "clipped" shear correlation functions. Clipping filters the projected density field inferred from weak lensing data for the highest-density regions, allowing for two-point functions to extract additional cosmological information. We model, for the first time, the impact of systematics on clipped lensing statistics, including intrinsic alignments, baryonic feedback, photometric redshift uncertainties, and source-lens clustering. We train Gaussian process emulators on dark-matter-only and hydrodynamical N-body simulations to predict the cosmological and systematic dependence of both the clipped and conventional, "unclipped" shear correlation functions. We find that the combination of the clipped and unclipped probes improves the constraints on the free parameters of the w CDM model relative to the conventional approach, with a 16% tightening of the S 8 uncertainty and 24% for w 0. Our constraints, m = 0.263+0.035-0.038, S 8=0.724+0.027-0.027, and w 0 = -1.24+0.26-0.28, are consistent with the CDM model and with the cosmic shear analysis of Asgari et al. (2021) via a completely independent simulation- and emulator-based forward-modelling approach. We also find the complimentary information in the clipped statistic provides an upper limit on the baryon feedback strength, and improves the constraints on intrinsic alignments by 27%.
Sources
- Dark Energy Survey Year 6 Results: Cosmological Constraints from Galaxy Clustering and Weak Lensing
- Dark Energy Survey Year 3 Results: Multi-Probe Modeling Strategy and Validation
- An Intuitive Tutorial to Gaussian Process Regression
- Geometric and growth rate tests of General Relativity with recovered linear cosmological perturbations
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