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astro-ph.GA2024
Identifying the Galactic Substructures in 5D Space Using All-sky RR Lyrae Stars in Gaia DR3
Shenglan Sun, Fei Wang, Huawei Zhang +9
Motivated by the vast gap between photometric and spectroscopic data volumes, there is great potential in using 5D kinematic information to identify and study substructures of the…
astro-ph.SR2024
On the Performances of Estimating Stellar Atmospheric Parameters from CSST Broad-band Photometry
Ruifeng Shi, Yang Huang, Xinyi Li +1
Deriving atmospheric parameters of a large sample of stars is of vital importance to understand the formation and evolution of the Milky Way. Photometric surveys, especially those…