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Signatures of Self-Interacting Dark Matter: from Modeling to Observations

  报告题目:Signatures of Self-Interacting Dark Matter: from Modeling to Observations

  报告人:杨大能 博士后(加州大学河滨分校)

  报告摘要:In this talk, I'll introduce our recent efforts in modeling the effect of self-interacting dark matter (SIDM) and making contact with small-scale observations. I'll start by reviewing the background and introducing a parametric model for SIDM halos that enables obtaining theoretical predictions for given models based on a few simple equations. We proposed methods to account for the effects of realistic mass changes and demonstrated the model's accuracy using a population of simulated halos. I'll then delve into our dedicated studies addressing various challenges in observations, including the formation of dark matter deficient galaxies, ultra-diffuse galaxies, small-scale gravitational lenses, and discuss their implications for SIDM. 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.

  报告时间:2023年11月10日(周五)14:00

  报告地点:仙林园区3-302室

欢迎大家参加!

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