50 citations · 78 across the 19 of their papers we have counts for
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Deep Learning and IACT: Bridging the gap between Monte-Carlo simulations and LST-1 data using domain adaptation
Michael Dellaiera, Cyann Plard, Thomas Vuillaume +2
The Cherenkov Telescope Array Observatory (CTAO) is the next generation of observatories employing the imaging air Cherenkov technique for the study of very high energy gamma rays.…
Imaging Atmospheric Cherenkov Telescopes pointing determination using the trajectories of the stars in the field of view
Mykhailo Dalchenko, Matthieu Heller
We present a new approach to the pointing determination of Imaging Atmospheric Cherenkov Telescopes (IACTs). This method is universal and can be applied to any IACT with minor modi…
Interpolation of Instrument Response Functions for the Cherenkov Telescope Array in the Context of pyirf
Rune Michael Dominik, Maximilian Linhoff, Julian Sitarek
The Cherenkov Telescope Array (CTA) will be the next generation ground-based very-high-energy gamma-ray observatory, constituted by tens of Imaging Atmospheric Cherenkov Telescopes…
Performance update of an event-type based analysis for the Cherenkov Telescope Array
Juan Bernete, Orel Gueta, Tarek Hassan +3
The Cherenkov Telescope Array (CTA) will be the next-generation observatory in the field of very-high-energy (20 GeV to 300 TeV) gamma-ray astroparticle physics. The traditional ap…
Characterization of SiPM and development of test bench modules for the next-generation cameras for Large-Sized Telescopes for Cherenkov Telescope Array
Takayuki. Saito, K. Hashiyama, H. Iwasaki +5
The recent improvements in the performance of the silicon photomultipliers (SiPMs) made them attractive options as photo sensors of imaging atmospheric Cherenkov telescopes (IACTs)…