Imaging techniques for gamma-ray diffuse emission: application to INTEGRAL/SPI

Abstract

Diffuse imaging in the gamma-ray energy range is a challenging problem, since faint radiation is usually mixed with strong instrumental background components. This situation results in data sets that are not very informative, so they lead to non robust image reconstruction. In this paper, we used a Bayesian approach to produce sky-maps with high resolution features. This method is then compared with the standard Richardson-Lucy algorithm on the basis of mock data sets that were generated from the SPI/INTEGRAL in-flight model.