Four-hundred Very Metal-Poor Stars Studied with LAMOST and Subaru. II. Elemental abundances
Haining Li, Wako Aoki, Tadafumi Matsuno, Qianfan Xing, Takuma Suda,, Nozomu Tominaga, Yuqin Chen, Satoshi Honda, Miho N. Ishigaki, Jianrong Shi,, Jingkun Zhao, and Gang Zhao

TL;DR
This study provides a comprehensive homogeneous analysis of over 20 elements in 385 very metal-poor stars, revealing detailed abundance trends, outliers, and correlations across a wide metallicity range, based on large-scale LAMOST and Subaru data.
Contribution
It is the largest high-resolution VMP star sample analyzed homogeneously, with accurate evolutionary stage determination and new insights into elemental abundance patterns and outliers.
Findings
Confirmed known abundance trends in VMP stars.
Identified new outliers and correlations among elements.
Discovered more r-process-enhanced stars at higher metallicities.
Abstract
We present homogeneous abundance analysis of over 20 elements for 385 very metal-poor (VMP) stars based on the LAMOST survey and follow-up observations with the Subaru Telescope. It is the largest high-resolution VMP sample (including 363 new objects) studied by a single program, and the first attempt to accurately determine evolutionary stages for such a large sample based on Gaia parallaxes. The sample covers a wide metallicity range from [Fe/H]=-1.7 down to [Fe/H]=-4.3, including over 110 objects with [Fe/H]<-3.0. The expanded coverage in evolutionary status makes it possible to define abundance trends respectively for giants and turn-off stars. The newly obtained abundance data confirm most abundance trends found by previous studies, but also provide useful update and new sample of outliers. The Li plateau is seen in -2.5 < [Fe/H] <-1.7 in our sample, whereas the average Li…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
