Exploring the stellar rotation of early-type stars in the LAMOST Medium-Resolution Survey. I. Catalog

TL;DR

This paper presents a catalog of stellar parameters and rotation rates for over 40,000 early-type stars from the LAMOST Medium-Resolution Survey, using machine learning and spectral synthesis models.

Contribution

It introduces a new large-scale catalog of stellar labels for early-type stars derived from LAMOST data using the SLAM method, enabling studies of stellar rotation distributions.

Findings

High precision stellar parameters derived for 40,034 stars

Good consistency with prior data except for surface gravity

Reliable estimates of stellar rotation rates despite spectral coverage limitations

Abstract

We derive stellar parameters and abundances (`stellar labels') of 40,034 late-B and A-type main-sequence stars extracted from the Large Sky Area Multi-Object Fiber Spectroscopic Telescope Medium Resolution Survey (LAMOST--MRS). The primary selection of our early-type sample was obtained from LAMOST Data Release 7 based on spectral line indices. We employed the Stellar LAbel Machine (SLAM) to derive their spectroscopic stellar parameters, drawing on Kurucz spectral synthesis models with 6000 K $< T_\mathrm{eff} <$ 15,000 K and $-1$ dex $< \mathrm{[M/H]} <$ 1 dex. For a signal-to-noise ratio of $\sim 60$, the cross-validated scatter is $\sim$75 K, 0.06 dex, 0.05 dex, and $\sim 3.5\,\mathrm{km\,s^{-1}}$ for $T_\mathrm{eff}$, $\log g$, [M/H], and $v\sin i$, respectively. A comparison with objects with prior, known stellar labels shows great consistency for all stellar parameters, except for $\log g$. Although this is an intrinsic caveat that comes from the MRS's narrow wavelength coverage, it only has a minor effect on estimates of the stellar rotation rates because of the decent spectral resolution and the profile-fitting method employed. The masses and ages of our early-type sample stars were inferred from non-rotating stellar evolution models. This paves the way for reviewing the properties of stellar rotation distributions as a function of stellar mass and age.