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Optimization of multivariate analysis for IACT stereoscopic systems

Abstract : Multivariate methods have been recently introduced and successfully applied for the discrimination of signal from background in the selection of genuine very-high energy gamma-ray events with the H.E.S.S. Imaging Atmospheric Cerenkov Telescope. The complementary performance of three independent reconstruction methods developed for the H.E.S.S. data analysis, namely Hillas, model and 3D-model suggests the optimization of their combination through the application of a resulting efficient multivariate estimator. In this work the boosted decision tree method is proposed leading to a significant increase in the signal over background ratio compared to the standard approaches. The improved sensitivity is also demonstrated through a comparative analysis of a set of benchmark astrophysical sources.
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Contributor : Claudine Bombar <>
Submitted on : Friday, June 25, 2010 - 2:03:52 PM
Last modification on : Tuesday, November 17, 2020 - 2:36:03 PM

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A. Fiasson, F. Dubois, G. Lamanna, J. Masbou, S. Rosier-Lees. Optimization of multivariate analysis for IACT stereoscopic systems. Astroparticle Physics, Elsevier, 2010, 34, pp.25-32. ⟨10.1016/j.astropartphys.2010.04.006⟩. ⟨in2p3-00495270⟩



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