Stellar Parameters of Main Sequence Turn-off Star Candidates Observed with the LAMOST and Kepler

TL;DR

This study combines asteroseismic data from Kepler and atmospheric data from LAMOST to accurately determine stellar parameters of MSTO star candidates, assessing age estimates and contamination rates in the sample.

Contribution

It provides a method to improve stellar parameter accuracy for MSTO stars by integrating Kepler asteroseismic and LAMOST spectroscopic data, and evaluates contamination in the sample.

Findings

79 of 150 candidates are confirmed MSTO stars.

Contamination rate increases with stellar age.

Systematic bias in LAMOST surface gravity estimates affects classification.

Abstract

Main sequence turn-off (MSTO) stars have advantages as indicators of Galactic evolution since their ages could be robustly estimated from atmospheric parameters. Hundreds of thousands of MSTO stars have been selected from the LAMOST Galactic sur- vey to study the evolution of the Galaxy, and it is vital to derive accurate stellar parameters. In this work, we select 150 MSTO star candidates from the MSTO stars sample of Xiang that have asteroseismic parameters and determine accurate stellar parameters for these stars combing the asteroseismic parameters deduced from the Kepler photometry and atmospheric parameters deduced from the LAMOST spectra.With this sample, we examine the age deter- mination as well as the contamination rate of the MSTO stars sample. A comparison of age between this work and Xiang shows a mean difference of 0.53 Gyr (7%) and a dispersion of 2.71 Gyr (28%). The results show that 79 of the candidates are MSTO stars, while the others are contaminations from either main sequence or sub-giant stars. The contamination rate for the oldest stars is much higher than that for the younger stars. The main cause for the high contamination rate is found to be the relatively large systematic bias in the LAMOST surface gravity estimates.