Kavli Affiliate: Huawei Zhang
| First 5 Authors: Yang Huang, Timothy C. Beers, Christian Wolf, Young Sun Lee, Christopher A. Onken
| Summary:
Accurate determinations of stellar parameters and distances for large
complete samples of stars are keys for conducting detailed studies of the
formation and evolution of our Galaxy. Here we present stellar atmospheric
parameters ($T_{rm eff}$, luminosity classifications, and [Fe/H]) estimates
for some 24 million stars determined from the stellar colors of SMSS DR2 and
Gaia EDR3, based on training datasets with available spectroscopic measurements
from previous high/medium/low-resolution spectroscopic surveys. The number of
stars with photometric-metallicity estimates is 4-5 times larger than that
collected by the current largest spectroscopic survey to date – LAMOST – over
the course of the past decade. External checks indicate that the precision of
the photometric-metallicity estimates are quite high, comparable to or slightly
better than that derived from spectroscopy, with typical values around
0.05-0.15dex for both dwarf and giant stars with [Fe/H]>$-$1.0, 0.10-0.20dex
for giant stars with $-$2.0<[Fe/H]<$-$1.0. and 0.20-0.25dex for giant stars
with [Fe/H]<$-$2.0, and include estimates for stars as metal-poor as
[Fe/H]~$-$3.5, substantially lower than previous photometric techniques.
Photometric-metallicity estimates are obtained for an unprecedented number of
metal-poor stars, including a total of over three million metal-poor (MP;
[Fe/H] <$-$1.0) stars, over half a million very metal-poor (VMP; [Fe/H]<$-$2.0)
stars, and over 25,000 extremely metal-poor (EMP; [Fe/H]<$-$3.0) stars.
Moreover, distances are determined for over 20 million stars in our sample. For
the over 18 million sample stars with accurate Gaia parallaxes, stellar ages
are estimated by comparing with theoretical isochrones. Astrometric information
is provided for the stars in our catalog, along with radial velocities for ~10%
of our sample stars, taken from completed/ongoing large-scale spectroscopic
surveys.
| Search Query: ArXiv Query: search_query=au:”Huawei Zhang”&id_list=&start=0&max_results=10