GAMMALEARN: DEEP LEARNING APPLIED TO THE CHERENKOV TELESCOPE ARRAY (CTA) - Université Savoie Mont Blanc Access content directly
Conference Poster Year : 2018

GAMMALEARN: DEEP LEARNING APPLIED TO THE CHERENKOV TELESCOPE ARRAY (CTA)

Abstract

The Cherenkov Telescope Array (CTA) is the next generation ground-based observatory for γ-ray astronomy. It will be used to study γ-ray sources, allowing to better understand the Universe. It will generate petabytes of data per year, leading to big data challenges. The GammaLearn project proposes to apply Deep Learning as a part of the analysis of this huge amount of data. Its goal is to separate the γ photons from cosmic particles, and reconstruct the γ photons parameters, from noisy unconventional images (hexagonal grid, non rectangular shape).
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Dates and versions

hal-01841581 , version 1 (17-07-2018)
hal-01841581 , version 2 (05-12-2018)

Identifiers

  • HAL Id : hal-01841581 , version 2

Cite

Mikaël Jacquemont. GAMMALEARN: DEEP LEARNING APPLIED TO THE CHERENKOV TELESCOPE ARRAY (CTA). ICVSS 2018 - Computer Vision after Deep Learning, Jul 2018, Punta Sampieri, Italy. ⟨hal-01841581v2⟩
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