Speaker
Fucheng Zhong
(Istituto Nazionale di Astrofisica (INAF))
Description
Given the X-ray observations of galaxy clusters by eROSITA and the multi-cosmology simulations, one can compare their outcomes and constrain the cosmological parameters inversely via machine learning. The key point lies in understanding the simulations and observations from a probabilistic perspective. We are first to match the individual observed eROSITA galaxy cluster to the multi-hydro-cosmology simulations, aiming to constrain the cosmology parameters.
Author
Fucheng Zhong
(Istituto Nazionale di Astrofisica (INAF))
