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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 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…
Reconstruction of extensive air shower images of the first Large Size Telescope prototype of CTA using a novel likelihood technique
Gabriel Emery, Cyril Alispach, Mykhailo Dalchenko +3
Ground-based gamma-ray astronomy aims at reconstructing the energy and direction of gamma rays from the extensive air showers they initiate in the atmosphere. Imaging Atmospheric C…