Probing Dark Matter Substructure with Image Number Anomaly in Strong Lensing Systems
The episode discusses a paper titled "Probing Dark Matter Substructure with Image Number Anomaly in Strong Lensing Systems." The hosts discuss how this method uses image number anomalies in strong lensing to constrain dark matter substructures, such as primordial black holes and fuzzy dark matter. They highlight the rigorous simulation framework used to set statistical constraints and the advanced fitting methods needed for real-world data analysis.