299 citations · 548 across the 25 of their papers we have counts for
13 papers · 1 filter
KiDS-Legacy: Constraining dark energy, neutrino mass, and curvature
Robert Reischke, Benjamin Stölzner, Benjamin Joachimi +25
We constrained minimally extended cosmological models with the cosmic shear analysis of the final data release from the Kilo-Degree Survey (KiDS-Legacy) in combination with externa…
KiDS-Legacy: Constraints on Horndeski gravity from weak lensing combined with galaxy clustering and cosmic microwave background anisotropies
Benjamin Stölzner, Robert Reischke, Matteo Grasso +25
We present constraints on modified gravity from a cosmic shear analysis of the final data release of the Kilo-Degree Survey (KiDS-Legacy) in combination with DESI measurements of b…
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…
Matter power spectrum reconstruction with KiDS-Legacy: Improved internal CDM consistency and preference for strong baryonic feedback
Jeger C. Broxterman, Patrick Simon, Lucas Porth +14
Direct measurements of the matter power spectrum, , provide a powerful tool to investigate observed tensions between models of structure growth while also testin…
AMICO galaxy clusters in KiDS-1000: cosmological constraints and mass calibration from counts and weak lensing
G. F. Lesci, F. Marulli, L. Moscardini +14
We present the joint modelling of weak-lensing and count measurements of the galaxy clusters detected with the AMICO code, in the fourth data release of the Kilo Degree Survey (KiD…
Anisotropic Counts-in-Cells in Redshift Space: A New Route to Cosmological Constraints from Galaxy Surveys
Paweł Drozda, Wojciech A. Hellwing, Maciej Bilicki
We introduce a novel extension of the volume-averaged correlation function (VACF) framework by replacing the traditional spherical smoothing kernels with anisotropic, ellipsoidal w…
Skewness as a Probe of Gravity: Real and Redshift Space Counts-In-Cells
Paweł Drozda, Wojciech A. Hellwing, Maciej Bilicki
We study the counts-in-cells reduced skewness for dark matter, halo, and galaxy distributions in both real and redshift space, using the ELEPHANT ($\textit{Extended LEnsing P…
The CosmoVerse White Paper: Addressing observational tensions in cosmology with systematics and fundamental physics
Eleonora Di Valentino, Jackson Levi Said, Adam Riess +533
The standard model of cosmology has provided a good phenomenological description of a wide range of observations both at astrophysical and cosmological scales for several decades.…
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…
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 , is…
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…
Intrinsic galaxy alignments in the KiDS-1000 bright sample: dependence on colour, luminosity, morphology, and galaxy scale
Christos Georgiou, Nora Elisa Chisari, Maciej Bilicki +4
The intrinsic alignment (IA) of galaxies is a major astrophysical contaminant to weak gravitational lensing measurements, and the study of its dependence on galaxy properties helps…
Hybrid-z: Enhancing Kilo-Degree Survey bright galaxy sample photometric redshifts with deep learning
Anjitha John William, Priyanka Jalan, Maciej Bilicki +3
We employ deep learning (DL) to improve photometric redshifts (photo-s) in the Kilo-Degree Survey Data Release 4 Bright galaxy sample (KiDS-Bright DR4). This dataset, used as a…