A multivariate analysis approach for the Imaging Atmospheric Cherenkov Telescopes System H.E.S.S

F. Dubois , G. Lamanna , A. Jacholkowska

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.

Mots clés: Multivariate analysis; H.E.S.S; Gamma-rays; Cherenkov; IACT

F. Dubois, G. Lamanna, A. Jacholkowska. A multivariate analysis approach for the Imaging Atmospheric Cherenkov Telescopes System H.E.S.S. Astroparticle Physics, 2010, 32 (2), pp.73. ⟨10.1016/j.astropartphys.2009.06.003⟩. ⟨hal-00616888⟩