报告摘要：Simulations of galaxy formation are becoming increasingly realistic, both in the unresolved physical processes they model and in their ability to reproduce the properties of observed galaxy populations. However, we must not let this lead to a false sense of security. Instead, we must develop a deeper understanding of how numerical parameters — such as mass and force resolution — interact with the subgrid models employed by simulations, and establish the extent to which galaxy properties are affected by numerical choices. In this talk, I will discuss our recent work examining how these numerical parameters affect key structural and kinematic properties of simulated galaxies. I will also propose simple analytic criteria for identifying regions within galaxies — or galaxies within populations — that should be excluded from analysis. The talk should be of broad interest to researchers who occasionally use simulations, and particularly relevant to those whose research depends heavily on them.
主讲人简介：Aaron Ludlow obtained his PhD from the University of Victoria (Canada) in 2009 and subsequently held fellowships at the University of Bonn (2009–2015), Durham University (2015–2017), and the University of Western Australia (2017–2021). Since 2021, he has been an Associate Professor at the International Centre for Radio Astronomy Research at the University of Western Australia. His research focuses primarily on the formation, structure, and kinematics of dark matter haloes and galaxies, which he studies using a combination of numerical simulations and analytic modelling.
会议信息：
Zoom link: https://us06web.zoom.us/j/85341127461?pwd=pI3IBCFEE5dRHL77uXGeBOczSTxKIM.1
Meeting chat link: https://us06web.zoom.us/launch/jc/85341127461
Meeting ID: 853 4112 7461
Passcode: 407715
