Published November 1, 2021
| Version v1
Journal article
Gaia GraL: Gaia DR2 Gravitational Lens Systems. VI. Spectroscopic Confirmation and Modeling of Quadruply-Imaged Lensed Quasars
- Creators
- Stern, D.
- Djorgovski, S. G.
- Krone-Martins, A.
- Sluse, D.
- Delchambre, L.
- Ducourant, C.
- Teixeira, R.
- Surdej, J.
- Boehm, C.
- Brok, J. Den
- Dobie, D.
- Drake, A.
- Galluccio, Laurent
- Graham, M. J.
- Jalan, P.
- Klark, J.
- Lecampion, J. F.
- Mahabal, A.
- Mignard, F.
- Murphy, T.
- Nierenberg, A.
- Scarano, S.
- Simon, J.
- Slezak, E.
- Spindola-Duarte, C.
- Wambsganss, J.
- Others:
- Laboratoire d'Astrophysique de Bordeaux [Pessac] (LAB) ; Université de Bordeaux (UB)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
- Joseph Louis LAGRANGE (LAGRANGE) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de la Côte d'Azur ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS)
Description
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.
Abstract
18 pages, 8 figures
Abstract
International audience
Additional details
- URL
- https://hal.archives-ouvertes.fr/hal-03227284
- URN
- urn:oai:HAL:hal-03227284v1
- Origin repository
- UNICA