Astro Seminar Series - Mohammad Zhoolideh Haghighi - HYBRID

Mohammad Zhoolideh Haghighi is an assistant professor at the K. N. Tossi University of Technology. He studies different aspects of galaxy groups and galaxy clusters, including their dynamical relaxation and their hydrodynamics. Mohammad also takes advantage of machine learning techniques in astronomy for object detection, image processing, and automating telescopes in observatories. Prior to his current position, Mohammad was a postdoctoral researcher at IPM and a data scientist at INO. Mohammad completed his Ph.D. at the Sharif University of Technology, where he worked on observational tests of cosmological models.

Title: Dynamical relaxation of galaxy groups and clusters

Abstract: In this talk, I will discuss some spectroscopic and photometric proxies used for determining the dynamical relaxation of galaxy groups/clusters. I will provide the results of employing these probes on simulations and observed data and compare them together. Finally, I will propose a bivariant relation which is a combination of the luminosity gap and luminosity decentering as a new possible proxy that can bring about promising results.