Year: 2026
Type: article
Abstract: Red clump (RC) stars are excellent standard candles for mapping the three-dimensional structure of the Milky Way. We construct an all-sky catalog of 6.5 million primary RC stars using spectroscopic estimates of asteroseismic parameters inferred from Gaia DR3 low-resolution XP spectra. We train a mixture density network (MDN) on a crossmatched sample. The network maps each 343-dimensional corrected XP spectrum to estimates of ΔΠ 1 , the asymptotic period spacing of dipole gravity modes, and Δ ν , the large frequency separation. We select primary RC stars using these two estimates. We release two complementary catalogs defined by different parameter-space cuts and thresholds: a high-purity Tier 1 sample of 532,189 stars with 97% purity and a high-completeness Tier 2 sample of 6,534,931 stars with 86% completeness. Both catalogs cover the full celestial sphere. We provide distances and extinction values for all stars. We obtain a median photometric distance precision of 6% for Tier 1 RC stars. Using the resultant distances, we independently calibrate the Gaia DR3 parallax zero-point offset. The three-dimensional density distribution traced by the Tier 2 sample extends continuously to R ≃ 25 kpc. Both catalogs are publicly available. These catalogs provide a valuable resource for Galactic archaeology, delivering a homogeneous dataset to trace the chemodynamical evolution of the Milky Way and to calibrate models of stellar populations.
Authors: Zheng Yu, Bingqiu Chen
Institutions: Chuxiong Normal University, Yunnan University
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $4,499
Funders: National Science Foundation, National Aeronautics and Space Administration, California Institute of Technology, European Space Agency, National Natural Science Foundation of China, Chinese Academy of Sciences, Natural Science Foundation of Yunnan Province, National Development and Reform Commission, National Astronomical Observatories, Chinese Academy of Sciences
OpenAlex ID: W7204758008
