Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey

Huang, X.; Storfer, C.; Ravi, V.; Pilon, A.; Domingo, M.; Schlegel, D. J.; Bailey, S.; Dey, A.; Gupta, R. R.; Herrera, D.; Juneau, S.; Landriau, M.; Lang, D.; Meisner, A.; Moustakas, J.; Myers, A. D.; Schlafly, E. F.; Valdes, F.; Weaver, B. A.; Yang, J.; Yèche, C.

doi:10.3847/1538-4357/ab7ffb

Title: Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey

Journal Article · Thu May 07 00:00:00 EDT 2020 · The Astrophysical Journal (Online)

DOI:https://doi.org/10.3847/1538-4357/ab7ffb· OSTI ID:1650089

^[1]; Storfer, C. ^[1]; Ravi, V. ^[1]; Pilon, A. ^[1]; Domingo, M. ^[1];

^[2]; Bailey, S. ^[2];

^[3]; Gupta, R. R. ^[2]; Herrera, D. ^[3];

^[3];

^[2];

^[4];

^[3]; Moustakas, J. ^[5]; Myers, A. D. ^[6];

^[3];

^[3]; Weaver, B. A. ^[3];

^[7] more »

Univ. of California, San Francisco, CA (United States)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
National Optical Astronomy Observatory (NOAO), Tuscon, AZ (United States)
Univ. of Toronto, ON (Canada); Perimeter Inst. for Theoretical Physics, Waterloo, ON (Canada)
Siena College, Loudonville, NY (United States)
Univ. of Wyoming, Laramie, WY (United States)
Univ. of Arizona, Tucson, AZ (United States)
Univ. Paris-Saclay, Gif-sur-Yvette (France)

We perform a semi-automated search for strong gravitational lensing systems in the 9000 deg² Dark Energy Camera Legacy Survey (DECaLS), part of the Dark Energy Spectroscopic Instrument Legacy Imaging Surveys. The combination of the depth and breadth of these surveys are unparalleled at this time, making them particularly suitable for discovering new strong gravitational lensing systems. We adopt the deep residual neural network architecture developed by Lanusse et al. for the purpose of finding strong lenses in photometric surveys. We compile a training sample that consists of known lensing systems in the Legacy Surveys and the Dark Energy Survey as well as non-lenses in the footprint of DECaLS. In this paper we show the results of applying our trained neural network to the cutout images centered on galaxies typed as ellipticals in DECaLS. The images that receive the highest scores (probabilities) are visually inspected and ranked. Here we present 335 candidate strong lensing systems, identified for the first time.

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Research Organization:: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: AC02-05CH11231; KA2401022

OSTI ID:: 1650089

Journal Information:: The Astrophysical Journal (Online), Vol. 894, Issue 1; ISSN 1538-4357

Publisher:: Institute of Physics (IOP)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 34 works

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Title: Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey

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