Space and Planetary Science; Astronomy and Astrophysics
Abstract :
[en] 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, which contains ∼520 million astronomical sources covering ∼4000 deg2 of the southern sky to a 5σ 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 Dark Energy Camera data, we apply color and magnitude cuts to select a catalog of ∼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 (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 (decl. < 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 that 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.
Disciplines :
Space science, astronomy & astrophysics
Author, co-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, E. J.
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, Dominique ; Université de Liège - ULiège > Département d'astrophysique, géophysique et océanographie (AGO)
NSF - National Science Foundation [US-VA] [US-VA] MICINN - Ministerio de Ciencia e Innovacion [ES] ERC - European Research Council [BE] CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico [BR] FONDECYT - Chile Fondo Nacional de Desarrollo Científico y Tecnológico [CL] Union Européenne [BE]
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