An application of the Independent Component Analysis methodology to gamma ray astrophysical imaging

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dc.creatorCecchi, C.
dc.creatorMarcucci, F.
dc.creatorTosti, G.
dc.date2003-06-26
dc.date.accessioned2026-07-07T02:08:52Z
dc.date.available2026-07-07T02:08:52Z
dc.descriptionIndependent 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.
dc.description4 pages,5 figures,proceedings of: Science with the new generation of high energy gamma-ray experiments:between astrophysics and astroparticle physics
dc.identifierhttps://arxiv.org/abs/astro-ph/0306563
dc.identifierhttp://arxiv.org/abs/astro-ph/0306563
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/6224
dc.subjectAstrophysics
dc.titleAn application of the Independent Component Analysis methodology to gamma ray astrophysical imaging
dc.typetext

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