18 citations · 51 across the 12 of their papers we have counts for
5 papers · 1 filter
Unsupervised Domain Adaptation for Multitask Image Analysis in Realistic Context with Extreme Label Shift; Application to the CTAO first Large Sized Telescope
Michaël Dell'aiera, Thomas Vuillaume, Alexandre Benoit
Unsupervised domain adaptation is a widespread set of methods that leverages the knowledge of a labeled source domain to train a model to perform well on a related unlabeled target…
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.…
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…
Deep unsupervised domain adaptation applied to the Cherenkov Telescope Array Large-Sized Telescope
Michaël Dell'aiera, Mikaël Jacquemont, Thomas Vuillaume +1
The Cherenkov Telescope Array is the next generation of observatory using imaging air Cherenkov technique for very-high-energy gamma-ray astronomy. Its first prototype telescope is…