1 citations · 1 across the 6 of their papers we have counts for
11 papers
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…
Galactic transient sources with the Cherenkov Telescope Array Observatory
Cherenkov Telescope Array Observatory Consortium
A wide variety of Galactic sources show transient emission at soft and hard X-ray energies: low- and high-mass X-ray binaries containing compact objects, isolated neutron stars exh…
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.…
Dark Matter Line Searches with the Cherenkov Telescope Array
S. Abe, J. Abhir, A. Abhishek +562
Monochromatic gamma-ray signals constitute a potential smoking gun signature for annihilating or decaying dark matter particles that could relatively easily be distinguished from a…
Chasing Gravitational Waves with the Cherenkov Telescope Array
Jarred Gershon Green, Alessandro Carosi, Lara Nava +563
The detection of gravitational waves from a binary neutron star merger by Advanced LIGO and Advanced Virgo (GW170817), along with the discovery of the electromagnetic counterparts…
Prospects for a survey of the Galactic plane with the Cherenkov Telescope Array
CTA Consortium
Approximately one hundred sources of very-high-energy (VHE) gamma rays are known in the Milky Way. A survey of the entire Galactic Plane in the energy range from a few tens of GeV…