An application of the Independent Component Analysis methodology to gamma ray astrophysical imaging
Astrophysics
2007-05-23 v1
Abstract
Independent Component Analysis (ICA) is a statistical method often used to decompose a complex dataset in its independent sub-parts. It is a powerful technique to solve a typical Blind Source Separation problem. A fast calculation of the gamma ray sky observed by GLAST, assuming the expected instrumental response, has been implemented. The simulated images were used to test the capability of the ICA method in identifying the sources.
Keywords
Cite
@article{arxiv.astro-ph/0306563,
title = {An application of the Independent Component Analysis methodology to gamma ray astrophysical imaging},
author = {C. Cecchi and F. Marcucci and G. Tosti},
journal= {arXiv preprint arXiv:astro-ph/0306563},
year = {2007}
}
Comments
4 pages,5 figures,proceedings of: Science with the new generation of high energy gamma-ray experiments:between astrophysics and astroparticle physics