Bibliographic Details
| Title: |
Finding quadruply imaged quasars with machine learning – I. Methods. |
| Authors: |
Akhazhanov, A1,2, More, A3,4, Amini, A5, Hazlett, C5,6, Treu, T7, tt@astro.ucla.edu, Birrer, S8, Shajib, A9, Liao, K10, Lemon, C11, Agnello, A12, Nord, B9,13,14, Aguena, M15, Allam, S13, Andrade-Oliveira, F15,16, Annis, J13, Brooks, D17, Buckley-Geer, E9,13, Burke, D L18,19, Carnero Rosell, A15, Carrasco Kind, M20,21 |
| Source: |
Monthly Notices of the Royal Astronomical Society; Jun2022, Vol. 522 Issue 2, p2407-2421, 15p |
| Database: |
Applied Science & Technology Source |
