Predicting Supermassive Black Hole-Host Mass Offsets from Broadband Photometry Across Cosmological Simulations with Forecasts for LSST
The episode discusses a paper that classifies supermassive black hole growth regimes using host galaxy colors derived from cosmological simulations. Hosts discuss how this method provides a reliable tool to distinguish black hole growth states without needing direct measurements, showing high accuracy and robustness across different simulation models.