activity
20152018
most citedApplication of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data

97 citations · 187 across the 4 of their papers we have counts for

collaborators
Showing 2018Show all

1 paper · 1 filter

astro-ph.IM2018★ 97 cited

Application of Deep Learning methods to analysis of Imaging Atmospheric Cherenkov Telescopes data

Idan Shilon, Manuel Kraus, Matthias Büchele +7

Ground based gamma-ray observations with Imaging Atmospheric Cherenkov Telescopes (IACTs) play a significant role in the discovery of very high energy (E > 100 GeV) gamma-ray emitt…