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A multivariate analysis approach for the imaging atmospheric Cherenkov telescopes system H.E.S.S.

Abstract : A multivariate particle classification approach is proposed and applied to the analysis of the data from H.E.S.S. (High Energy Stereoscopic System). The combination of results from the three shower reconstruction methods: Hillas, model and 3D-model, leads to a substantial gain in the discrimination power between photons and hadrons. The construction and use of a combined effective estimator improves by several factors the signal-to-background ratio which is extremely important in case of studies of the faint and extended sources. The results of this approach are presented for a typical set of sources. The consequent gain in the sensitivity is shown through a comparison to the H.E.S.S. published results.
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Submitted on : Thursday, November 12, 2009 - 5:10:40 PM
Last modification on : Friday, November 6, 2020 - 3:28:59 AM

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F. Dubois, G. Lamanna, A. Jacholkowska. A multivariate analysis approach for the imaging atmospheric Cherenkov telescopes system H.E.S.S.. Astroparticle Physics, Elsevier, 2009, 32, pp.73-88. ⟨10.1016/j.astropartphys.2009.06.003⟩. ⟨in2p3-00431663⟩

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