Optimization of multivariate analysis for IACT stereoscopic systems

Details Optimization of multivariate analysis for IACT stereoscopic systems Optimization of multivariate analysis for IACT stereoscopic systems

2010-04-20

arxiv.org/abs/1004.3375v1

Astronomy and Astrophysics

Astrophysics

Instrumentation and Methods for Astrophysics

10 pages, 8 figures, 3 tables, accepted for publication in Astroparticle Physics

Scientific paper

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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