3 papers
astro-ph.CO2025
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…
astro-ph.CO2025
Investigating the Redshift Evolution of Lensing Galaxy Density Slopes via Model-Independent Distance Ratios
Shuaibo Geng, Margherita Grespan, Hareesh Thuruthipilly +3
Strong lensing systems, expected to be abundantly discovered by next-generation surveys, offer a powerful tool for studying cosmology and galaxy evolution. The connection between g…
astro-ph.GA2024
TEGLIE: Transformer encoders as strong gravitational lens finders in KiDS
Margherita Grespan, Hareesh Thuruthipilly, Agnieszka Pollo +3
We apply a state-of-the-art transformer algorithm to 221 deg of the Kilo Degree Survey (KiDS) to search for new strong gravitational lenses (SGL). We test four transformer enco…