Estimating Stellar Atmospheric Parameters and [α/Fe] for LAMOST O-M-type Stars Using a Spectral Emulator
In this paper, we developed a spectral emulator based on the Mapping Nearby Galaxies at Apache Point Observatory Stellar Library (MaStar) and a grouping optimization strategy to estimate effective temperature ( T _eff ), surface gravity (log g ), metallicity ([Fe/H]), and the abundance of alpha elem...
Saved in:
| Main Authors: | Jun-Chao Liang, A-Li Luo, Yin-Bi Li, Xiao-Xiao Ma, Shuo Li, Shu-Guo Ma, Hai-Ling Lu, Yun-Jin Zhang, Bing Du, Xiao Kong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2024-01-01
|
| Series: | The Astrophysical Journal Supplement Series |
| Subjects: | |
| Online Access: | https://doi.org/10.3847/1538-4365/ad7505 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SpecTE: Parameter Estimation for LAMOST Low-resolution Stellar Spectra Based on Denoising Pretraining
by: Xirong Zhao, et al.
Published: (2025-01-01) -
A Catalog of Hα Emission-line Stars and 785 Newly Identified Young Stellar Object Candidates from LAMOST Based on a Deep Learning Method
by: Lei Tan, et al.
Published: (2025-01-01) -
A Catalog of 12,766 Carbon-enhanced Metal-poor Stars from LAMOST Data Release 8
by: Ziyu Fang, et al.
Published: (2025-01-01) -
An Advanced Deep Learning Model for Identifying Blue Horizontal-branch Stars from LAMOST DR10
by: Yuhang Zhang, et al.
Published: (2025-01-01) -
Mass, Luminosity, and Stellar Age of Early-type Stars from the LAMOST Survey
by: Qida Li, et al.
Published: (2025-01-01)