报告人:
Mingjie is currently a postdoctoral researcher in the Department of Astronomy at Stockholm University. He completed his undergraduate studies at Beijing Normal University in 2016 and earned his Ph.D. from the University of Tokyo in 2022. His research focuses on Galactic archaeology and the variability of massive stars, with an emphasis on the behavior of spectral lines in stellar atmospheres and the determination of elemental abundances using high-resolution spectroscopic data. As a permanent member of the 4-meter Multi-Object Spectroscopic Telescope (4MOST) survey, he is responsible for developing the stellar parameter pipeline for Milky Way stars, aiding in the exploration of the Galaxy's formation and evolutionary history.摘要:
Stars, as the fundamental visible building blocks of the Milky Way and all other galaxies, are key to understanding their formation, evolution, and dynamics. Precise modeling and measurement of stellar parameters are critical for uncovering the chemical enrichment processes, star formation history, and the assembly pathways of galaxies. The soon-to-begin 4-m Multi-Object Spectroscopic Telescope (4MOST) survey is designed to observe over 25 million objects across the southern sky, along with extragalactic sub-surveys. It presents new challenges in the determination of industrial stellar parameters, particularly in terms of accuracy and efficiency. I will introduce the recent developments in stellar parameter determination methods, with a significant improvement incorporating the non-local thermal dynamic effects. When combined with machine learning algorithms, it becomes possible to accelerate the speed of parameter measurement compared to traditional radiative transfer approaches, though this requires special caution. I will present the modules I am developing for 4MOST as an example of the application of these methods to large-scale spectroscopic surveys. By delivering robust analyses of stellar spectra, 4MOST will not only advance our understanding of the Milky Way’s chemical and dynamical evolution but also provide crucial data for studying stellar populations in distant galaxies.
