Mapping the Physical Properties of Cosmic Hot Gas with Hyper-Spectral Imaging

A novel inversion technique is proposed to compute parametric maps showing the temperature, density and chemical composition of cosmic hot gas from X-ray hyper-spectral images. The parameters are recovered by constructing a unique non-linear mapping derived by combining a physics-based modelling of spectrum formation with the selection of optimal bandpass filters. Preliminary results and analysis are presented.