Very metal-poor stars with LAMOST & Subaru. II.

DOI

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 the abundance trends respectively for giants and turnoff stars. The newly obtained abundance data confirm most abundance trends found by previous studies, but also provide useful updates and new samples of outliers. The Li plateau is seen in main-sequence turnoff stars with -2.5<[Fe/H]{0.7) is in the range of 20%-30% for turnoff stars depending on the treatment of objects for which C abundance is not determined, which is much higher than that in giants (~8%). Twelve Mg-poor stars ([Mg/Fe]1.0) have been discovered in -3.4<[Fe/H]{<}-2.0, enlarging the sample of r-process-enhanced stars with relatively high metallicity.

Cone search capability for table J/ApJ/931/147/table2 (Stellar parameters of the program stars)

Identifier
DOI http://doi.org/10.26093/cds/vizier.19310147
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJ/931/147
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJ/931/147
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJ/931/147
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJ/931/147
Provenance
Creator Li H.; Aoki W.; Matsuno T.; Xing Q.; Suda T.; Tominaga N.; Chen Y.,Honda S.; Ishigaki M.N.; Shi J.; Zhao J.; Zhao G.
Publisher CDS
Publication Year 2024
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Interdisciplinary Astronomy; Natural Sciences; Observational Astronomy; Physics; Stellar Astronomy