University of Montreal
XRISM Guest Scientist (XGS) Program for the Perseus Cluster Performance Verification (PV) Target.  Measuring gas motions using a multi-wavelength approach and novel machine learning tools — One of the primary objectives of XRISM is to understand the gas motions of the Perseus cluster of galaxies and how these connect to the black hole feedback processes. We propose a collaboration that will bring a unique set of expertise and observations. We will build a recurrent inference machine (i.e. a type of neural network) that can successfully deconvolve the intrinsic X-ray spectrum of a source from the XRISM instrumental response function. Overall, this collaboration will significantly enhance the XRISM science case for Perseus, and more generally, galaxy clusters.