Searching for r-process-enhanced stars in the LAMOST Survey I: The Method
Tian-Yi Chen, Jian-Rong Shi, Timothy C. Beers, Hong-Liang Yan, Qi Gao,, Chun-Qian Li, Hai-Ning Li, Gang Zhao

TL;DR
This paper introduces a new method to identify r-process-enhanced stars in the LAMOST survey by matching observed spectra to synthetic templates around the Eu II line, resulting in a sample of 13 candidates for further study.
Contribution
The paper presents a novel spectral matching technique to efficiently find r-process-enhanced star candidates in medium-resolution spectroscopic data.
Findings
Identified 13 metal-poor r-process-enhanced star candidates from LAMOST data.
Developed a spectral matching method around Eu II line at 6645.1 Å.
Outlined plans for extending the method to larger samples and other spectral lines.
Abstract
The abundance patterns of -process-enhanced stars contain key information required to constrain the astrophysical site(s) of -process nucleosynthesis, and to deepen our understanding of the chemical evolution of our Galaxy. In order to expand the sample of known -process-enhanced stars, we have developed a method to search for candidates in the LAMOST medium-resolution () spectroscopic survey by matching the observed spectra to synthetic templates around the Eu II line at 6645.1 AA. We obtain a sample of 13 metal-poor () candidates from 12,209 unique stars with 32,774 medium-resolution spectra. These candidates will be further studied by high-resolution follow-up observations in the near future. Extensions of this effort to include larger samples of stars, in particular at lower metallicity, using the strength of the Ba II line at 6496.9…
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