Measuring atmospheric neutrino oscillations with KM3NeT/ORCA6

AbstraktAbstract

The KM3NeT Collaboration is constructing two water-Cherenkov neutrino detectors at the bottom of the Mediterranean Sea: ARCA, which is designed for neutrino astronomy in the TeV to PeV range, and ORCA, optimised for GeV neutrino detection. The ORCA detector will comprise 115 string-like vertical Detection Units arranged in a cylindrical array. Its main objectives are to determine the neutrino mass ordering and measuring atmospheric neutrino oscillations. During 2020 and 2021, an early configuration of the detector with six lines was in operation. A high-purity neutrino sample covering 433 kton-years of exposure was extracted using optimised reconstruction algorithms and machine learning classifiers. In this contribution, the measurement of the neutrino oscillation parameters sin2 θ23 = 0.51+−000607 and Δm312 = 2.14+−003625 · 10−3eV2, as well as the sensitivity to determine the neutrino mass ordering based on this data sample, will be presented.

The KM3NeT Collaboration is constructing two water-Cherenkov neutrino detectors at the bottom of the Mediterranean Sea: ARCA, which is designed for neutrino astronomy in the TeV to PeV range, and ORCA, optimised for GeV neutrino detection. The ORCA detector will comprise 115 string-like vertical Detection Units arranged in a cylindrical array. Its main objectives are to determine the neutrino mass ordering and measuring atmospheric neutrino oscillations. During 2020 and 2021, an early configuration of the detector with six lines was in operation. A high-purity neutrino sample covering 433 kton-years of exposure was extracted using optimised reconstruction algorithms and machine learning classifiers. In this contribution, the measurement of the neutrino oscillation parameters sin2 θ23 = 0.51+−000607 and Δm312 = 2.14+−003625 · 10−3eV2, as well as the sensitivity to determine the neutrino mass ordering based on this data sample, will be presented.