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ORCA is the low-energy branch of KM3NeT, the next-generation underwater Cherenkov neutrino detector currently being built in the Mediterranean Sea. The detector is optimised to study oscillations of atmospheric neutrinos in the few-GeV energy range in order to determine the neutrino mass ordering. Within its instrumented volume of more than 7 Mm3 of sea water an unprecedented statistics of >3k ντ neutrinos per year will be detected that have oscillated from a purely νμ and νe initial flux into the ντ-channel along their passage through Earth. The ντ-flux will be determined as a statistical excess of shower-like events. The contribution will present the event classification strategies developed in ORCA and the sensitivity of ORCA to ντ-appearance. ORCA will confirm the exclusion of non-appearance within the first months of operation.
tau neutrino KM3NeT ORCA water Cherenkov event classification RDF Deep Learning
tau neutrino KM3NeT ORCA water Cherenkov event classification RDF Deep Learning
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