Symbiotic star candidates catalog
Yongle Jia
We utilized machine learning techniques to efficiently identify new symbiotic stars. This is a newly discovered symbiotic star candidates catalog. We provide the corresponding right ascension declination and relevant magnitude information.
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15.csv
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11709.csv
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README.txt
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Paper Information
Paper Title:
Identifying symbiotic stars with machine learning
Publication:
Research in Astronomy and Astrophysics
Identifier
cstr:
11379.11.101184
DOI:
10.12149/101184
VO Identifier:
ivo://China-VO/data/RAA/jiayongle101184/
Publication date:
2023-07-14
Citation Guidelines
Yongle Jia et al. 2023. Symbiotic star candidates catalog. Version 1.0. https://doi.org/10.12149/101184
@misc{10.12149/101184,
doi = {10.12149/101184},
url = {https://doi.org/10.12149/101184},
author = {Yongle Jia},
title = {Symbiotic star candidates catalog},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2023}
}
doi = {10.12149/101184},
url = {https://doi.org/10.12149/101184},
author = {Yongle Jia},
title = {Symbiotic star candidates catalog},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2023}
}
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This DOI represents all versions, and will always resolve to the latest one.
2023-07-14