Multiscale image analysis applied to gamma/hadron discrimination for VHE gamma-ray astronomy with ARGO-YBJ

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dc.creatorDe Mitri, I.
dc.creatorMarsella, G.
dc.creatorSalamida, F.
dc.date2003-07-30
dc.date.accessioned2026-07-07T11:46:05Z
dc.date.available2026-07-07T11:46:05Z
dc.descriptionIntrinsic differences in the processes involved in the development of electromagnetic and hadronic showers in the atmosphere have been evidenced by means of a careful analysis of the event image given by the ARGO-YBJ detector. The images have been analyzed at different length scales and their multifractal nature has been studied. The use of the multiscale approach together with a properly designed and trained Artificial Neural Network, allowed us to obtain a good gamma/hadron discrimination power. If confirmed by further studies on different event cathegories, this result would allow to nearly double the detector sensitivity to gamma ray sources.
dc.description10 pages, 5 figures, Presented at the "Incontro Nazionale di Astrofisica delle Alte Energie", Rome 15-16 May 2003
dc.identifierhttps://arxiv.org/abs/astro-ph/0307535
dc.identifierhttp://arxiv.org/abs/astro-ph/0307535
dc.identifierNucl.Instrum.Meth.A525:132-136,2004
dc.identifierdoi:10.1016/j.nima.2004.03.052
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/202104
dc.subjectAstrophysics
dc.titleMultiscale image analysis applied to gamma/hadron discrimination for VHE gamma-ray astronomy with ARGO-YBJ
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