Combined fit to 839048 atmospheric neutrino events from three experiments plus reactor data yields competitive mixing parameters with preference for normal mass ordering.
Abbasiet al.(IceCube), Phys
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Neutral-current events supply sensitivity to isovector NSI parameters that charged-current analyses suppress, enabling the first bounded long-baseline constraints and resolution of individual quark couplings when the two datasets are combined.
WavePID improves cascade purity and classification performance in low-energy IceCube events by adding single-PMT timing observables to a graph neural network morphology classifier.
No evidence for long-range neutrino interactions from a broad class of anomaly-free U(1)' symmetries is found in 8 years of IceCube DeepCore atmospheric data, producing stringent constraints on the corresponding LRI potentials and mediator parameters.
A minimal dark SU(2)_D model with anomaly cancellation and Z4 symmetry generates a rank-two Dirac neutrino mass matrix enforcing one exactly massless neutrino.
IceCube DeepCore data constrains non-unitary neutrino mixing with α33 > -0.027 at 90% CL and no evidence for deviation from unitarity.
IceCube DeepCore atmospheric neutrino data yields δ_CP-independent constraints on NSI parameters ε_eμ and ε_eτ that are consistent with standard interactions.
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WavePID: Low-energy flavor identification using single-PMT time series in IceCube
WavePID improves cascade purity and classification performance in low-energy IceCube events by adding single-PMT timing observables to a graph neural network morphology classifier.