Proposes a new CLFV search in IceCube using cosmic-ray muons, deriving sensitivities for EFT operators and a Z' model, with comparisons to other experiments and projections for future telescopes.
The IceCube Neu- trino Observatory: Instrumentation and Online Sys- tems
8 Pith papers cite this work. Polarity classification is still indexing.
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Visible inelasticity in starting tracks can statistically separate tau and muon neutrino events, yielding competitive sensitivity to the tau-to-muon flux ratio with current IceCube exposures.
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.
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.
Neutrino light curves from neutron stars may show an enhanced peak-to-plateau ratio, a density-tracing delay, and transient spectral hardening as diagnostics of hadron-quark phase transitions on 10-50 ms timescales.
A color-dipole-based Monte Carlo generator interfaced with Pythia8 predicts larger transverse momenta and higher yields of angularly separated dimuons in neutrino-proton collisions than standard Pythia.
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Predictions for dimuon production in high-energy neutrino-proton collisions using the color dipole model
A color-dipole-based Monte Carlo generator interfaced with Pythia8 predicts larger transverse momenta and higher yields of angularly separated dimuons in neutrino-proton collisions than standard Pythia.