学术报告第199期：Mapping Nearby Galaxies with Integral Field Spectroscopy

主讲人 (Speaker): 

Cheng Li

主讲人单位 (Speaker's Institute): 

Department of Astronomy, Tsinghua University

邀请人 (Invited by): 

黄志琦

时间 (Time): 

星期四, 2021/03/18 - 10:00 to 11:30

地点 (Location): 

珠海校区天琴中心2316会议室

摘要 (Abstract): 

Galaxies are ecosystems consisting of multiple

components which interplay with each other and are distributed over a

wide range of spatial scale, from sub-galactic scales up to scales of

dark matter halos. Therefore, in order to have a complete picture of

galaxy evolution, one has to obtain observational data with multiple

wavebands and different spatial resolutions to probe physical processes

both internal and external to galaxies. Current  integral field unit

(IFU) surveys such as CALIFA and MaNGA are providing  resolved

spectroscopy for large samples of galaxies in the local Universe,

allowing the stellar populations and star formation histories across the

whole galaxy area to be  studied with high accuracy. In addition, maps

of molecular gas are also being obtained by arrays of radio antenna,

thus providing additional data for linking the star formation and gas

accretion processes in the IFU era. I'll present our recent studies

based on the CALIFA, MaNGA and CARMA-EDGE surveys, particularly focusing

on the resolved maps of star formation history and molecular gas, as

well as roles of internal  structure and environment in driving galaxy

evolution.

主讲人简介 (Speaker's CV): 

Cheng Li is currently a professor at Department of Astronomy, Tsinghua University. Before he joined Tsinghua in September 2015, he worked at Shanghai Astronomical Observatory as a group leader (2010-2015) and Max-Planck Institute for Astrophysics as a postdoc (2007-2010). He obtained his PhD from USTC in 2006. His research has been focused on the structure, formation and evolution of galaxies, as well as the large-scale structure of the Universe. He is a member of the SDSS-IV and Subaru/PFS projects. Currently he is interested in using data from both observational experiments and numerical simulations to understand the formation and evolution of galaxies in the LCDM universe.