Stellar parameters and abundances for ~ 1.1 million stars from LAMOST LRS DR10
Haoyang Liu
This catalog presents stellar parameters and elemental abundances for approximately 1.1 million giant stars derived from the LAMOST LRS DR 10 using convolutional neural network. The catalog includes effective temperature, surface gravity, and metallicity (both [Fe/H] and [M/H]). Additionally, it provides the overall α-abundance ([α/M]) along with the abundances of individual elements: carbon (C), nitrogen (N), oxygen (O), magnesium (Mg), silicon (Si), and calcium (Ca).
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.. stellar parameters and abundances for giants from LAMOST LRS DR10
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Paper Information
Paper Title:
CNN-Derived Elemental Abundances of LAMOST DR10 Giants: Implications for Galactic Substructures
Publication:
Monthly Notices of the Royal Astronomical Society
Identifiers
CSTR:
11379.11.101529
DOI:
10.12149/101529
VO Identifier:
ivo://China-VO/paperdata/101529
Publication Date:
2025-06-17
Citation Guidelines
Haoyang Liu et al. 2025. Stellar parameters and abundances for ~ 1.1 million stars from LAMOST LRS DR10. Version 1.0. https://doi.org/10.12149/101529
@misc{10.12149/101529,
doi = {10.12149/101529},
url = {https://doi.org/10.12149/101529},
author = {Haoyang Liu},
title = {Stellar parameters and abundances for ~ 1.1 million stars from LAMOST LRS DR10},
version = {1.0},
publisher = {Nataional Astronomical Data Center of China},
year= {2025}
}
Versions
Version 1.0 (current)
2025-06-17
Main
This DOI represents all versions, and will always resolve to the latest one.
2025-06-17