The multiple stellar populations problem and the role of the Chinese Space Station Telescope
报告人（单位）
李程远教授（中山大学）
报告时间
2022年5月12日（周四）15:00
主办方
中科院上海天文台
直播二维码
报告人介绍
Chengyuan Li is a professor at the School of Physics and Astronomy, Sun Yat-sen University. His research aims to study stellar structure and evolution by observing star clusters' different stellar populations. Chengyuan Li obtained the Ph.D. degree from Peking University in 2015. He was a project researcher at the Purple Mountain Observatory, Chinese Academy of Sciences. In 2016, he went to Macquarie University in Australia for post-doctoral research. Chengyuan Li joined the School of Physics and Astronomy at SYSU in 2019. He is currently undertaking a general project of the National Natural Science Foundation of China (NSFC), a sub-project of the China Manned Space Project. He also participates in two projects of the National Natural Science Foundation of China (a key project and a youth project).
报告摘要
The detection of star-to-star chemical variations found in almost all globular clusters, has strongly challenged the consensus of the star and star cluster formation scenario, which implicates that star clusters are "simple"-stellar populations. This so-called "multiple stellar populations" problem, has significant impacts on various astrophysical aspects, including star formation, stellar nucleosynthesis, as well as galaxy formation and evolution. In this talk, I will first review the progress of this active field -- multiple stellar populations in star clusters. In particular, I will introduce the significant role of the Hubble Space Telescope (HST) in the field. The Chinese Space Station Telescope (CSST), has many parameters similar to the Hubble Space Telescope, with a significantly larger field of view. It is therefore a suitable instrument for studying multiple stellar populations in star clusters, as well. I will introduce our analyses of the CSST's capacity of searching for multiple stellar populations, based on the multi-channel imager. We find that CSST has comparable efficiency for disentangling multiple stellar populations through photometry to the HST. We conclude that CSST can take over the role of the HST in the study of multiple stellar populations in the next decade.