works on

From the 1 of 9 linked papers with an AI index.

activity
20242026
collaborators

9 papers

astro-ph.GA2026

Tracing Obscured AGN Contribution and Number Fraction Across 0 < z < 6 with JWST

Angel Rodriguez Barbosa, Tomotsugu Goto, Daryl Joe D. Santos +8

The paper uses JWST mid‑infrared observations and multi‑wavelength SED fitting to identify obscured active galactic nuclei up to redshift 6, finding that both the infrared contribu…

astro-ph.CO2025

Angular clustering and bias of photometric quasars in the Kilo-Degree Survey Data Release 4

Anjitha John William, Maciej Bilicki, Wojciech A. Hellwing +2

We investigate the angular clustering and effective bias of photometrically selected quasars in the Kilo-Degree Survey Data Release 4 (KiDS DR4). We update the previous photometric…

astro-ph.CO2025

KiDS-Legacy: Cosmological constraints from cosmic shear with the complete Kilo-Degree Survey

Angus H. Wright, Benjamin Stölzner, Marika Asgari +35

We present cosmic shear constraints from the completed Kilo-Degree Survey (KiDS), where the cosmological parameter , i…

astro-ph.CO2025

KiDS-Legacy: Redshift distributions and their calibration

Angus H. Wright, Hendrik Hildebrandt, Jan Luca van den Busch +30

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-DR…

astro-ph.CO2025

KiDS-Legacy: Consistency of cosmic shear measurements and joint cosmological constraints with external probes

Benjamin Stölzner, Angus H. Wright, Marika Asgari +33

We present a cosmic shear consistency analysis of the final data release from the Kilo-Degree Survey (KiDS-Legacy). By adopting three tiers of consistency metrics, we compare cosmo…

astro-ph.CO2025

KiDS-Legacy: Covariance validation and the unified OneCovariance framework for projected large-scale structure observables

Robert Reischke, Sandra Unruh, Marika Asgari +24

We introduce OneCovariance, an open-source software designed to accurately compute covariance matrices for an arbitrary set of two-point summary statistics across a variety of larg…