17 citations · 33 across the 6 of their papers we have counts for
6 papers
Rubin J122659.4+090236: An Extremely Low Surface Brightness Galaxy Candidate Discovered in the Rubin LSST Early Data Preview 2
Dipanjan Mitra, Kanak Saha, Sugata Kaviraj +28
We report the serendipitous discovery of an exceptionally low surface brightness galaxy (LSBG) candidate, Rubin J122659.4+090236, in Rubin Observatory imaging of the interacting NG…
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…
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…
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…
Transformers as Strong Lens Detectors- From Simulation to Surveys
Hareesh Thuruthipilly, Margherita Grespan, Adam Zadrożny
With the upcoming large-scale surveys like LSST, we expect to find approximately strong gravitational lenses among data of many orders of magnitude larger. In this scenario,…
Finding Strong Gravitational Lenses Through Self-Attention
Hareesh Thuruthipilly, Adam Zadrozny, Agnieszka Pollo +1
The upcoming large scale surveys like LSST are expected to find approximately strong gravitational lenses by analysing data of many orders of magnitude larger than those in…