Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey
Abstract
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.
- Authors:
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[1];
[2];
[3];
[3];
[2];
[4];
[3];
[3];
[3];
[7]
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- 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)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- OSTI Identifier:
- 1650089
- Grant/Contract Number:
- AC02-05CH11231; KA2401022
- Resource Type:
- Accepted Manuscript
- Journal Name:
- The Astrophysical Journal (Online)
- Additional Journal Information:
- Journal Name: The Astrophysical Journal (Online); Journal Volume: 894; Journal Issue: 1; Journal ID: ISSN 1538-4357
- Publisher:
- Institute of Physics (IOP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; strong gravitational lensing; high-redshift galaxies; galaxy clusters; galaxy groups
Citation Formats
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., and Yèche, C. Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey. United States: N. p., 2020.
Web. doi:10.3847/1538-4357/ab7ffb.
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. Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey. United States. https://doi.org/10.3847/1538-4357/ab7ffb
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., and Yèche, C. Thu .
"Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey". United States. https://doi.org/10.3847/1538-4357/ab7ffb. https://www.osti.gov/servlets/purl/1650089.
@article{osti_1650089,
title = {Finding Strong Gravitational Lenses in the DESI DECam Legacy Survey},
author = {Huang, X. and Storfer, C. and Ravi, V. and Pilon, A. and Domingo, M. and Schlegel, D. J. and Bailey, S. and Dey, A. and Gupta, R. R. and Herrera, D. and Juneau, S. and Landriau, M. and Lang, D. and Meisner, A. and Moustakas, J. and Myers, A. D. and Schlafly, E. F. and Valdes, F. and Weaver, B. A. and Yang, J. and Yèche, C.},
abstractNote = {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.},
doi = {10.3847/1538-4357/ab7ffb},
journal = {The Astrophysical Journal (Online)},
number = 1,
volume = 894,
place = {United States},
year = {Thu May 07 00:00:00 EDT 2020},
month = {Thu May 07 00:00:00 EDT 2020}
}
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