candidates and new hot subdwarfs catalog
Jiangchuan Zhang ; Yude Bu
In our study, we conducted a large-scale search for hot subdwarfs using photometric images from SDSS DR17. We processed approximately 21.6 million sources using object detection algorithm, which is a deep learning method. We detected 29,695 candidates and we also confirmed 263 newly discovered hot subdwarfs with the help of LAMOST spectra.
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Paper Information
Paper Title:
Finding New Hot Subdwarf Stars in SDSS Images
Publication:
Astronomical Journal (AJ)
Identifiers
CSTR:
11379.11.101589
DOI:
10.12149/101589
VO Identifier:
ivo://China-VO/paperdata/101589
Publication Date:
2025-04-16
Citation Guidelines
Jiangchuan Zhang et al. 2025. candidates and new hot subdwarfs catalog. Version 1.0. https://doi.org/10.12149/101589
@misc{10.12149/101589,
doi = {10.12149/101589},
url = {https://doi.org/10.12149/101589},
author = {Jiangchuan Zhang},
title = {candidates and new hot subdwarfs catalog},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
doi = {10.12149/101589},
url = {https://doi.org/10.12149/101589},
author = {Jiangchuan Zhang},
title = {candidates and new hot subdwarfs catalog},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
Versions
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This DOI represents all versions, and will always resolve to the latest one.
2025-04-16