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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.

Astrophys.J, 2020-05, Vol.894 (1), p.78 [Periódico revisado por pares]

Philadelphia: The American Astronomical Society

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Título:
Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey
Autor: 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.
Assuntos: Artificial neural networks ; ASTRONOMY AND ASTROPHYSICS ; Astrophysics ; Computer architecture ; Dark energy ; Galaxies ; Galaxy clusters ; Galaxy groups ; Gravitation ; Gravitational lenses ; High-redshift galaxies ; Neural networks ; Physics ; Sky surveys (astronomy) ; Strong gravitational lensing
É parte de: Astrophys.J, 2020-05, Vol.894 (1), p.78
Notas: Galaxies and Cosmology
AAS17917
USDOE Office of Science (SC), High Energy Physics (HEP)
AC02-05CH11231; KA2401022
Descrição: 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.
Editor: Philadelphia: The American Astronomical Society
Idioma: Inglês

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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.

Philadelphia: The American Astronomical Society

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