A White Dwarf Catalogue from LAMOST DR11
Zhang Shengwen ; Zhang Yanxia ; Liu Chao
The g-band signal-to-noise ratio is screened from the LAMOST DR11 low-resolution spectral data, and the data with a g-band signal-to-noise ratio greater than 10 are screened out. The multimodal model is used for prediction, and white dwarf candidates are selected. They are cross-referenced with the SIMBAD database, and the data that do not cross are verified to construct a white dwarf catalog containing 362 new white dwarfs.
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WD25mayfinalWD.csv
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Paper Information
Paper Title:
A White Dwarf Catalog from LAMOST DR11 Using Deep Learning
Publication:
The Astrophysical Journal Supplement Series
Identifiers
CSTR:
11379.11.101427
DOI:
10.12149/101427
VO Identifier:
ivo://China-VO/paperdata/101427
Publication Date:
2025-08-25
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Citations
Zhang Shengwen et al. 2025. A White Dwarf Catalogue from LAMOST DR11. Version 1.0. https://doi.org/10.12149/101427
@misc{10.12149/101427,
doi = {10.12149/101427},
url = {https://doi.org/10.12149/101427},
author = {Zhang Shengwen},
title = {A White Dwarf Catalogue from LAMOST DR11},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
doi = {10.12149/101427},
url = {https://doi.org/10.12149/101427},
author = {Zhang Shengwen},
title = {A White Dwarf Catalogue from LAMOST DR11},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
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This DOI represents all versions, and will always resolve to the latest one.
2025-08-25