16 citations · 25 across the 10 of their papers we have counts for
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astro-ph.IM2026
Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference
Hai-Ling Lu, Yu-Yang Li, Yin-Bi Li +4
Stellar spectra encode key information on the physical properties and chemical compositions of stars. Accurate stellar parameter determination is essential for addressing major que…
astro-ph.IM2026
A Gaia-linked High-purity QSO Candidate Catalog in Selected Fields with Extinction-binned Calibration and Spectrum-informed Training
Zi-Huang Cao, Zhao-Xiang Qi, Juan-Juan Ren +11
We present an extinction-calibrated, Gaia-source-level QSO candidate catalog for selected fields, designed as a high-purity input catalog for fiber-spectroscopic follow-up rather t…
astro-ph.IM2019★ 16 cited
Recognition of M-type stars in the unclassified spectra of LAMOST DR5 using a hash learning method
Y. -X. Guo, A. -L. Luo, S. Zhang +6
Our study aims to recognize M-type stars which are classified as "UNKNOWN" due to bad quality in Large sky Area Multi-Object fibre Spectroscopic Telescope (LAMOST) DR5 V1. A binary…