Events at Physics |
To address this, I develop neural networks to improve background rejection for downgoing tracks from the southern sky, recovering throughgoing neutrinos typically discarded due to high atmospheric muon contamination. These events enable a search for extremely high-energy neutrinos, which are incorporated into a diffuse combined fit - including cosmogenic, astrophysical, and atmospheric components - to probe the apparent tension between KM3NeT and IceCube observations at the highest energies.
In parallel, I am also developing a transient analysis looking for spatial and timing correlations between ultra-high-energy photon candidates detected by the Pierre Auger Observatory and multi-flavor neutrinos detected by the IceCube Neutrino Observatory, the first search for ultra-high-energy transient sources combining neutral particle information from UHE photons and neutrinos.