题 目： Signatures of Self-Interacting Dark Matter: from Observations to Modeling
报告人： 杨大能 博士后 加州大学河滨分校
时 间： 2023年11月16号（星期四）上午10：00
地 点： 3354cc金沙集团LE201
邀请人： 边立功
报告摘要：In this talk, I'll introduce our recent efforts in searching for self-interacting dark matter (SIDM) and modeling its effect in dark matter halos. I'll start by introducing some clues for SIDM covering dark matter deficient galaxies, ultra-diffuse galaxies, strong lensing perturbers, and small-scale gravitational lenses. We conducted a number of high-resolution N-body simulations with SIDM in these studies. Meanwhile, we proposed a parametric approach that enables obtaining theoretical predictions for SIDM halos efficiently. We proposed methods to account for the effects of realistic mass changes and demonstrated the model's accuracy using a population of simulated halos. Confronting the rich and intricate small-scale data, I'll also briefly touch upon our recent endeavors in applying network theory and artificial intelligence in cosmological simulations. I'll comment on the potential prospect of bridging theory and observations through parametrized and graph-inspired models.
报告人介绍：杨大能博士和本科毕业于北京大学，之前在清华大学做博士后，现在在加州大学河滨分校做博士后。他近年来的研究重心是探索宇宙中暗物质的分布和相关的新物理特征。他的研究涉及宇宙的结构生成，暗物质探测，还有对撞机上规范玻色子的产生等。
