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.
Files
15.csv
3.13 kB
11709.csv
1.46 MB
README.txt
3.66 kB
Paper Information
Paper Title:
Identifying symbiotic stars with machine learning
Publication:
Research in Astronomy and Astrophysics
Identifiers
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}
}
Versions
Main
This DOI represents all versions, and will always resolve to the latest one.
2023-07-14