Astrophysics; Astrophysics of Galaxies; Gravitational lensing
Abstract :
[en] Combining the exquisite angular resolution of Gaia with optical light curves and WISE photometry, the Gaia Gravitational Lenses group (GraL) uses machine learning techniques to identify candidate strongly lensed quasars, and has confirmed over two dozen new strongly lensed quasars from the Gaia Data Release 2. This paper reports on the 12 quadruply-imaged quasars identified by this effort to date, which is approximately a 20% increase in the total number of confirmed quadruply-imaged quasars. We discuss the candidate selection, spectroscopic follow-up, and lens modeling. We also report our spectroscopic failures as an aid for future investigations.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
Stern, D.
Djorgovski, S. G.
Krone-Martins, A.
Sluse, Dominique ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Origines Cosmologiques et Astrophysiques (OrCa)
Delchambre, Ludovic ; Université de Liège - ULiège > Groupe d'astrophysique des hautes énergies (GAPHE)
Ducourant, C.
Teixeira, R.
Surdej, Jean ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Département d'astrophys., géophysique et océanographie (AGO)