학술논문
Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning
Document Type
Working Paper
Author
Zaborowski, E. A.; Drlica-Wagner, A.; Ashmead, F.; Wu, J. F.; Morgan, R.; Bom, C. R.; Shajib, A. J.; Birrer, S.; Cerny, W.; Buckley-Geer, L.; Mutlu-Pakdil, B.; Ferguson, P. S.; Glazebrook, K.; Lozano, S. J. Gonzalez; Gordon, Y.; Martinez, M.; Manwadkar, V.; O'Donnell, J.; Poh, J.; Riley, A.; Sakowska, J. D.; Santana-Silva, L.; Santiago, B. X.; Sluse, D.; Tan, C. Y.; Tollerud, E. J.; Verma, A.; Carballo-Bello, J. A.; Choi, Y.; James, D. J.; Kuropatkin, N.; Martínez-Vázquez, C. E.; Nidever, D. L.; Castellon, J. L. Nilo; Noël, N. E. D.; Olsen, K. A. G.; Pace, A. B.; Mau, S.; Yanny, B.; Zenteno, A.; Abbott, T. M. C.; Aguena, M.; Alves, O.; Andrade-Oliveira, F.; Bocquet, S.; Brooks, D.; Burke, D. L.; Rosell, A. Carnero; Kind, M. Carrasco; Carretero, J.; Castander, F. J.; Conselice, C. J.; Costanzi, M.; Pereira, M. E. S.; De Vicente, J.; Desai, S.; Dietrich, J. P.; Doel, P.; Everett, S.; Ferrero, I.; Flaugher, B.; Friedel, D.; Frieman, J.; García-Bellido, J.; Gruen, D.; Gruendl, R. A.; Gutierrez, G.; Hinton, S. R.; Hollowood, D. L.; Honscheid, K.; Kuehn, K.; Lin, H.; Marshall, J. L.; Melchior, P.; Mena-Fernández, J.; Menanteau, F.; Miquel, R.; Palmese, A.; Paz-Chinchón, F.; Pieres, A.; Malagón, A. A. Plazas; Prat, J.; Rodriguez-Monroy, M.; Romer, A. K.; Sanchez, E.; Scarpine, V.; Sevilla-Noarbe, I.; Smith, M.; Suchyta, E.; To, C.; Weaverdyck, N.
Source
ApJ 954 68 (2023)
Subject
Language
Abstract
We perform a search for galaxy-galaxy strong lens systems using a convolutional neural network (CNN) applied to imaging data from the first public data release of the DECam Local Volume Exploration Survey (DELVE), which contains $\sim 520$ million astronomical sources covering $\sim 4,000$ $\mathrm{deg}^2$ of the southern sky to a $5\sigma$ point-source depth of $g=24.3$, $r=23.9$, $i=23.3$, and $z=22.8$ mag. Following the methodology of similar searches using DECam data, we apply color and magnitude cuts to select a catalog of $\sim 11$ million extended astronomical sources. After scoring with our CNN, the highest scoring 50,000 images were visually inspected and assigned a score on a scale from 0 (definitely not a lens) to 3 (very probable lens). We present a list of 581 strong lens candidates, 562 of which are previously unreported. We categorize our candidates using their human-assigned scores, resulting in 55 Grade A candidates, 149 Grade B candidates, and 377 Grade C candidates. We additionally highlight eight potential quadruply lensed quasars from this sample. Due to the location of our search footprint in the northern Galactic cap ($b > 10$ deg) and southern celestial hemisphere (${\rm Dec.}<0$ deg), our candidate list has little overlap with other existing ground-based searches. Where our search footprint does overlap with other searches, we find a significant number of high-quality candidates which were previously unidentified, indicating a degree of orthogonality in our methodology. We report properties of our candidates including apparent magnitude and Einstein radius estimated from the image separation.
Comment: 24 pages; published version (ApJ)
Comment: 24 pages; published version (ApJ)