A New Look at Image Reconstruction of COMPTEL 1.8 MeV Data
Astrophysics
2007-05-23 v1
Abstract
Deconvolving COMPTEL gamma-ray data into images presents a major methodological challenge. We developed a new algorithm called Multiresolution Regularized Expectation Maximization (MREM), which explicitly accounts for spatial correlations in the image by using wavelets (Dixon et al. 1998). We demonstrate that MREM largely suppresses image noise in the reconstruction, showing only significant structures that are present in the data. Application to 1.8 MeV data results in a sky map that is much smoother than the maximum entropy reconstructions presented previously, but it shows the same characteristic emission features which have been established earlier.
Keywords
Cite
@article{arxiv.astro-ph/9902283,
title = {A New Look at Image Reconstruction of COMPTEL 1.8 MeV Data},
author = {J. Knodlseder and D. Dixon and R. Diehl and U. Oberlack and P. von Ballmoos and H. Bloemen and W. Hermsen and A. Iyudin and J. Ryan and V. Schonfelder},
journal= {arXiv preprint arXiv:astro-ph/9902283},
year = {2007}
}
Comments
4 pages, 1 figure, Proc. of the 3rd INTEGRAL workshop, Taormina