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.
Citation:
Mark O'Dwyer, Ela Claridge, Trevor Ponman, Somak Raychaudhury, "Mapping the Physical Properties of Cosmic Hot Gas with Hyper-Spectral Imaging," wacv-motion, vol. 1, pp.185-190, Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1, 2005