Mapping the Milky Way with Large-Scale Surveys: Stellar Parameters, Assembly History, and Dark Matter
报告摘要:In the past decades, studies of the Milky Way have entered a golden era of large-scale surveys. The Gaia satellite provides precise positions, proper motions, and parallaxes for billions of stars, while ground-based spectroscopic surveys, such as LAMOST, deliver radial velocities and metallicities for nearly ten million stars. In addition, medium- and narrow-band photometric surveys, as well as Gaia’s slitless spectroscopic surveys, provide atmospheric parameters for hundreds of millions of stars. This talk will first summarize our efforts in measuring stellar parameters from these surveys, and then present our work on understanding the assembly history of the Milky Way—particularly its early phase, when the proto-Galaxy formed—and its dark matter distribution, based on the measured parameters of a very large number of stars.
主讲人简介:Yang Huang (黄样) is currently an associate professor at the School of Astronomy and Space Science, University of Chinese Academy of Sciences. He received his Ph.D. from Peking University in 2016. From 2016 to 2018, he was a LAMOST Postdoctoral Fellow at Peking University. His research focuses on understanding the formation and evolution of the Milky Way, mainly from an observational perspective, especially using data from large-scale Galactic surveys (e.g., LAMOST, Gaia, SEGUE, APOGEE). He also has broad interests across various areas of astronomy and astrophysics, including stellar evolution, black holes of various scales (stellar-mass, intermediate-mass, and supermassive), galaxy mergers, and supermassive binary black holes.