Speaker
Martina Marconi
(INFN Genova - Università di Genova)
Description
KM3NeT has developed an automated real-time analysis framework operating on data from its ARCA and ORCA detectors. Events are continuously reconstructed and machine-learning-based algorithms are used for neutrino/muon classification. The framework performs follow-ups of external multi-messenger alerts and monitors for core-collapse supernova neutrino bursts, both already operational, and is in advanced commissioning for the autonomous identification and distribution of cosmic neutrino candidates, with public alerts expected imminently.
Primary author
Martina Marconi
(INFN Genova - Università di Genova)
