First catalog of strong lens candidates in the COSMOS field
Cecile Faure, Jean-Paul Kneib, Giovanni Covone, Lidia Tasca, Alexie, Leauthaud, Peter Capak, Knud Jahnke, Vernesa Smolcic, Sylvain de la Torre,, Richard Ellis, Alexis Finoguenov, Anton Koekemoer, Olivier Le Fevre, Richard, Massey, Yannick Mellier, Alexandre Refregier

TL;DR
This paper presents the first catalog of 67 strong galaxy-galaxy lens candidates in the COSMOS field, providing a valuable resource for studying galaxy mass distributions and testing automated lens detection algorithms.
Contribution
It introduces the first catalog of strong lens candidates in the COSMOS survey, including simple mass models and comparisons to existing lensing catalogs.
Findings
67 strong lens candidates identified in COSMOS data
Multiple images or arcs observed in 20 systems
Estimated high occurrence rate of strong lenses in future surveys
Abstract
We present the first catalog of 67 strong galaxy-galaxy lens candidates discovered in the 1.64 square degree Hubble Space Telescope COSMOS survey. Twenty of these systems display multiple images or strongly curved large arcs. Our initial search is performed by visual inspection of the data and is restricted, for practical considerations, to massive early-type lens galaxies with arcs found at radii smaller than ~5''. Simple mass models are constructed for the best lens candidates and our results are compared to the strong lensing catalogs of the SLACS survey and the CASTLES database. These new strong galaxy-galaxy lensing systems constitute a valuable sample to study the mass distribution of early-type galaxies and their associated dark matter halos. We further expect this sample to play an important role in the testing of software algorithms designed to automatically search for strong…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
