Winds versus jets: a comparison between black hole feedback modes in simulations of idealized galaxy groups and clusters

Understand

Using the SWIFT simulation code we study different forms of active galactic nuclei (AGN) feedback in idealized galaxy groups and clusters.

• We first present a physically motivated model of black hole (BH) spin evolution and a numerical implementation of thermal isotropic feedback (representing the effects of energy-driven winds) and collimated kinetic jets that they launch at different accretion rates.
• We find that kinetic jet feedback is more efficient at quenching star formation in the brightest cluster galaxies (BCGs) than thermal isotropic feedback, while simultaneously yielding cooler cores in the intracluster medium (ICM).
• A hybrid model with both types of AGN feedback yields moderate star formation rates, while having the coolest cores.