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A high performance likelihood reconstruction of gamma-rays for Imaging Atmospheric Cherenkov Telescopes

Abstract : We present a sophisticated gamma-ray likelihood reconstruction technique for Imaging Atmospheric Cerenkov Telescopes. The technique is based on the comparison of the raw Cherenkov camera pixel images of a photon induced atmospheric particle shower with the predictions from a semi-analytical model. The approach was initiated by the CAT experiment in the 1990's, and has been further developed by a new fit algorithm based on a log-likelihood minimisation using all pixels in the camera, a precise treatment of night sky background noise, the use of stereoscopy and the introduction of first interaction depth as parameter of the model. The reconstruction technique provides a more precise direction and energy reconstruction of the photon induced shower compared to other techniques in use, together with a better gamma efficiency, especially at low energies, as well as an improved background rejection. For data taken with the H.E.S.S. experiment, the reconstruction technique yielded a factor of ~2 better sensitivity compared to the H.E.S.S. standard reconstruction techniques based on second moments of the camera images (Hillas Parameter technique).
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http://hal.in2p3.fr/in2p3-00433882
Contributor : Claudine Bombar <>
Submitted on : Friday, November 20, 2009 - 2:00:42 PM
Last modification on : Wednesday, July 22, 2020 - 9:54:11 AM

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M. de Naurois, L. Rolland. A high performance likelihood reconstruction of gamma-rays for Imaging Atmospheric Cherenkov Telescopes. Astroparticle Physics, Elsevier, 2009, 32, pp.231-252. ⟨10.1016/j.astropartphys.2009.09.001⟩. ⟨in2p3-00433882⟩

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