119 citations · 185 across the 11 of their papers we have counts for
12 papers
COSMOS-3D: Spectro-photometric Confirmation of Shabgard, a Cool, Metal-poor Brown Dwarf in the COSMOS Field
Bahareh S. Salmasi, Priyanka Jalan, Tomotsugu Goto +19
Brown dwarfs are unique laboratories for studying cool atmospheres, the low-mass end of star formation, and the transition between stars and giant planets. Identifying and characte…
Tracing Obscured AGN Contribution and Number Fraction Across 0 < z < 6 with JWST
Angel Rodriguez Barbosa, Tomotsugu Goto, Daryl Joe D. Santos +8
Active galactic nuclei (AGN) are key drivers of galaxy evolution, yet many remain undetected in ultraviolet and optical surveys due to heavy dust obscuration. In these systems, abs…
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…
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…
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…
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…
KiDS-Legacy: Angular galaxy clustering from deep surveys with complex selection effects
Ziang Yan, Angus H. Wright, Nora Elisa Chisari +20
Photometric galaxy surveys, despite their limited resolution along the line of sight, encode rich information about the large-scale structure (LSS) of the Universe thanks to the hi…
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…
Enhancing Photometric Redshift Catalogs Through Color-Space Analysis: Application to KiDS-Bright Galaxies
Priyanka Jalan, Maciej Bilicki, Wojciech A. Hellwing +11
We present a method to refine photometric redshift galaxy catalogs by comparing their color-space matching with overlapping spectroscopic calibration data. We focus on cases where…
Deep learning based photometric redshifts for the Kilo-Degree Survey Bright Galaxy Sample
Anjitha John William, Priyanka Jalan, Maciej Bilicki +1
In cosmological analyses, precise redshift determination remains pivotal for understanding cosmic evolution. However, with only a fraction of galaxies having spectroscopic redshift…