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Title: A multivariate analysis approach for the Imaging Atmospheric Cerenkov Telescopes System H.E.S.S

Journal Article · · AIP Conference Proceedings
DOI:https://doi.org/10.1063/1.3076788· OSTI ID:21255181
;  [1];  [2]
  1. LAPP, Laboratoire de Annecy-le-vieux de Physique des Particules, UMR/IN2P3-CNRS, Universite de Savoie, 9 Chemin de Bellevue-74941 Annecy-le-Vieux (France)
  2. LPNHE, Laboratoire de Physique Nucleaire et de Hautes Energies, UMR/IN2P3-CNRS, Universites Paris VI and VII, 4 Place Jussieu-75252 Paris (France)

We present a multivariate classification approach applied to the analysis of data from the H.E.S.S. Very High Energy (VHE){gamma}-ray IACT stereoscopic system. This approach combines three complementary analysis methods already successfully applied in the H.E.S.S. data analysis. The proposed approach, with the combined effective estimator X{sub eff}, is conceived to improve the signal-to-background ratio and therefore particularly relevant to the morphological studies of faint extended sources.

OSTI ID:
21255181
Journal Information:
AIP Conference Proceedings, Vol. 1085, Issue 1; Conference: 4. international meeting on high energy gamma-ray astronomy, Heidelberg (Germany), 7-11 Jul 2008; Other Information: DOI: 10.1063/1.3076788; (c) 2009 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
Country of Publication:
United States
Language:
English