The Astrophysical Journal (Jan 2023)

Identification of Galaxy–Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning

  • 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

DOI
https://doi.org/10.3847/1538-4357/ace4ba
Journal volume & issue
Vol. 954, no. 1
p. 68

Abstract

Read online

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.

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