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The IceCube Neutrino Observatory: Instrumentation and Online Systems
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The IceCube Neutrino Observatory is a cubic-kilometer-scale high-energy neutrino detector built into the ice at the South Pole. Construction of IceCube, the largest neutrino detector built to date, was completed in 2011 and enabled the discovery of high-energy astrophysical neutrinos. We describe here the design, production, and calibration of the IceCube digital optical module (DOM), the cable systems, computing hardware, and our methodology for drilling and deployment. We also describe the online triggering and data filtering systems that select candidate neutrino and cosmic ray events for analysis. Due to a rigorous pre-deployment protocol, 98.4% of the DOMs in the deep ice are operating and collecting data. IceCube routinely achieves a detector uptime of 99% by emphasizing software stability and monitoring. Detector operations have been stable since construction was completed, and the detector is expected to operate at least until the end of the next decade.
Forward citations
Cited by 9 Pith papers
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First Demonstration of a Hybrid Cherenkov and Scintillation Detector in a Proof-of-Principle Axion Search at a Beam Dump
First event-by-event Cherenkov separation from sub-MeV electrons in liquid argon enables a proof-of-principle ALP search excluding new parameter space despite no observed excess.
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Charged Lepton Flavor Violation at Neutrino Telescopes
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.
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Visible inelasticity as a probe of tau flavor content of astrophysical neutrinos
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.
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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 p...
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New constraints on non-unitary neutrino mixing from 8 years of IceCube DeepCore atmospheric neutrino data
IceCube DeepCore data constrains non-unitary neutrino mixing with α33 > -0.027 at 90% CL and no evidence for deviation from unitarity.
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$\delta_{CP}$-free constraints on NSI parameters $\varepsilon_{e\mu}$ and $\varepsilon_{e\tau}$ using high-purity $\nu_\mu$ 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.
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Neutrino diagnostics of hadron-quark phase transition in Neutron Stars
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.
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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.
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