New measurements of neutrino oscillations from the IceCube experiment

Precise measurements of neutrino oscillations are demonstrated by many experiments using neutrinos from different sources, with the IceCube experiment exploiting its high-statistics atmospheric neutrino data. As a Cherenkov detector instrumented over a cubic kilometer deep under the South Pole ice, IceCube can detect high-energy neutrino emissions from astrophysical sources, while the subdetector (DeepCore) at the lower center of the IceCube array with a denser configuration has improved the ability to see GeV-scale neutrinos. Precise reconstruction is critical to oscillation measurements. Convolutional neural networks (CNNs) are employed to reconstruct neutrino interactions in the DeepCore. In this talk, a preliminary world-leading measurement of the atmospheric muon neutrino disappearance is discussed and compared to the results from the long-baseline experiments.