학술논문
Identification of Galaxy–Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning
Document Type
article
Author
E. A. Zaborowski; A. Drlica-Wagner; F. Ashmead; J. F. Wu; R. Morgan; C. R. Bom; A. J. Shajib; S. Birrer; W. Cerny; E. J. Buckley-Geer; B. Mutlu-Pakdil; P. S. Ferguson; K. Glazebrook; S. J. Gonzalez Lozano; Y. Gordon; M. Martinez; V. Manwadkar; J. O’Donnell; J. Poh; A. Riley; J. D. Sakowska; L. Santana-Silva; B. X. Santiago; D. Sluse; C. Y. Tan; E. J. Tollerud; A. Verma; J. A. Carballo-Bello; Y. Choi; D. J. James; N. Kuropatkin; C. E. Martínez-Vázquez; D. L. Nidever; J. L. Nilo Castellon; N. E. D. Noël; K. A. G. Olsen; A. B. Pace; S. Mau; B. Yanny; A. Zenteno; T. M. C. Abbott; M. Aguena; O. Alves; F. Andrade-Oliveira; S. Bocquet; D. Brooks; D. L. Burke; A. Carnero Rosell; M. Carrasco Kind; J. Carretero; F. J. Castander; C. J. Conselice; M. Costanzi; M. E. S. Pereira; J. De Vicente; S. Desai; J. P. Dietrich; P. Doel; S. Everett; I. Ferrero; B. Flaugher; D. Friedel; J. Frieman; J. García-Bellido; D. Gruen; R. A. Gruendl; G. Gutierrez; S. R. Hinton; D. L. Hollowood; K. Honscheid; K. Kuehn; H. Lin; J. L. Marshall; P. Melchior; J. Mena-Fernández; F. Menanteau; R. Miquel; A. Palmese; F. Paz-Chinchón; A. Pieres; A. A. Plazas Malagón; J. Prat; M. Rodriguez-Monroy; A. K. Romer; E. Sanchez; V. Scarpine; I. Sevilla-Noarbe; M. Smith; E. Suchyta; C. To; N. Weaverdyck; DELVE & DES Collaborations
Source
The Astrophysical Journal, Vol 954, Iss 1, p 68 (2023)
Subject
Language
English
ISSN
1538-4357
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 deg ^2 of the southern sky to a 5 σ 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.