A multivariate analysis approach for the imaging atmospheric Cherenkov telescopes system H.E.S.S. |
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| Authors: | F Dubois G Lamanna A Jacholkowska |
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| Institution: | aLAPP, Laboratoire de Annecy-le-Vieux de Physique des Particules, UMR/IN2P3-CNRS, Université de Savoie, 9 Chemin de Bellevue – 74941, Annecy-le-Vieux, France;bLPNHE, Laboratoire de Physique Nucléaire et de Hautes Energies, UMR/IN2P3-CNRS, Universités Paris VI & VII, 4 Place Jussieu – 75252 Paris, France |
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| 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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| Keywords: | Multivariate analysis H E S S Gamma-rays Cherenkov IACT |
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