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.
Abbasiet al.(IceCube), Eur
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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.
IceCube DeepCore atmospheric neutrino data yields δ_CP-independent constraints on NSI parameters ε_eμ and ε_eτ that are consistent with standard interactions.
citing papers explorer
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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.
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Constraints on long-range neutrino interactions from a variety of $U(1)^\prime$ symmetries using atmospheric neutrinos at IceCube DeepCore
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.
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$\delta_{\rm CP}$-free constraints on NSI parameters $\varepsilon_{e\mu}$ and $\varepsilon_{e\tau}$ using high-purity $\nu_\mu\,{\rm CC}$ events at IceCube DeepCore
IceCube DeepCore atmospheric neutrino data yields δ_CP-independent constraints on NSI parameters ε_eμ and ε_eτ that are consistent with standard interactions.