Strong gravitational lensing candidates
Yangyang Liu ; Liangping Tu
This dataset includes: (1) 1697 strong gravitational lens candidates, including 303 previous lenses and candidates (6 known lenses and 297 known candidates), and 1394 new gravitational lens candidates, which include 102 high-quality candidates. The corresponding included right ascension, declination, photometric redshift, spectroscopic redshift, reference and magnitude information in the g, r, and z bands. There are 152 × 152 pixels images synthesized in g, r, and z bands. (2) A list of false positives.
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Paper Information
Paper Title:
YOLOX–LS: Strong Gravitational Lenses Detection in the DECaLS with Deep Learning
Publication:
The Astrophysical Journal
Identifiers
CSTR:
11379.11.101514
DOI:
10.12149/101514
VO Identifier:
ivo://China-VO/paperdata/101514
Publication Date:
2024-11-27
Citation Guidelines
Yangyang Liu et al. 2024. Strong gravitational lensing candidates. Version 1.0. https://doi.org/10.12149/101514
@misc{10.12149/101514,
doi = {10.12149/101514},
url = {https://doi.org/10.12149/101514},
author = {Yangyang Liu},
title = {Strong gravitational lensing candidates},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2024}
}
doi = {10.12149/101514},
url = {https://doi.org/10.12149/101514},
author = {Yangyang Liu},
title = {Strong gravitational lensing candidates},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2024}
}
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Main
This DOI represents all versions, and will always resolve to the latest one.
2024-11-27