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Accesso Utenti

Laboratoire d'Annecy-le-Vieux de Physique des Particules, CNRS
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France
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Abstract Reference: 30806
Identifier: P3.13
Presentation: Poster presentation
Key Theme: 3 New Trends in HPC and Distributed Computing

Application of HPC and vectorization solutions to data calibration and Hillas-method reconstruction for Imaging Atmospheric Cherenkov Telescopes

Authors:
Vuillaume Thomas, Aubert Pierre, Maurin Gilles, Lamanna Giovanni, Jacquemier Jean

Imaging Atmospheric Cherenkov Telescopes (IACT) detect cosmic gamma-rays by studying the electromagnetic showers they create entering the atmosphere. IACT systems rely on the stereoscopic reconstruction of these showers in order to obtain the direction and energy of the incoming gamma rays. In current experiments, such as H.E.S.S., MAGIC and VERITAS, different reconstruction methods and algorithms are applied. CTA, the construction of which is planned to start in 2017, will be the next generation of gamma-ray observatory operating IACTs. The improvement of sensitivity with respect to the current instruments will generate an unprecedented data-flow imposing severe constraints in terms of data reduction, real-time and on-site analyses. This will demand to investigate faster and more scalable algorithms. This work describes some high performance computing (HPC) and vectorization solutions, developed and introduced for the first time in IACT’s field. They are applicable to the data calibration and to Hillas reconstruction as a first step to more sophisticated reconstruction algorithms. They have been developed in the framework of the ASTERICS-H2020 project and as such are available as an open-source software package to the Astronomy, Astrophysics ad Astroparticle Physics scientific community.