Feeding and feedback of the supermassive blackhole in brightest cluster galaxies

Events Calendar

 Time:  Thursday, June 1, 2023, 02:00pm
 Title:  Feeding and feedback of the supermassive blackhole in brightest cluster galaxies
 Speaker:  Prof. Yuanyuan Su (UKY)
 Location:  S727 & online via ZOOM (ID:917 4736 4388_PW:202306)


The intracluster medium (ICM) is the largest reservoir of the hot baryons. The centers of the ICM often feature a sharp X-ray surface brightness peak. AGN mechanical feedback from the brightest cluster galaxy is likely preventing the hot ICM from the catastrophic cooling, although the exact feedback process remains poorly understood. A growing number of kiloparsec-scale multiphase filaments have been observed at cluster centers, mainly in H_alpha and CO, which would provide new insights into the feeding and feedback process in these systems. We have applied a blind source separation algorithm to the Chandra observations of a number of cooling flow clusters, which allows X-ray filaments to be isolated from the underlying cluster atmosphere. We found that the surface brightness of X-ray filaments appear to correlate with that of H_alpha, revealing the intimate relation of multiphase gas. ICM is also the reservoir of nearly all the metals that have ever been produced by member galaxies. In this talk, I will also present our recent study on the metal content of the ICM from cluster centers to the virial radii, as well as its implication for the enrichment process of the ICM. Our recent work on AGN populations in galaxy clusters will also be discussed.  


Dr. Yuanyuan Su is originally from Sichuan. She got her PhD from Univ. of Alabama in 2013. After a short postdoc position at Univ. of California Irvine (2013-2015), she became a postdoc at the Harvard-Smithsonian Center for Astrophysics (2015-2018). She joined the Univ. of Kentucky as a faculty member in 2019. Dr. Yuanyuan Su's research focuses on multi-wavelength observations of clusters of galaxies. Recently, she has expanded to the field of machine learning and she has been teaching a course on modern data analysis tools in astronomy.

Host: Junjie Mao