Abstract:
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.
