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), Astropart
4 Pith papers cite this work. Polarity classification is still indexing.
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abstract
The IceCube neutrino observatory in operation at the South Pole, Antarctica, comprises three distinct components: a large buried array for ultrahigh energy neutrino detection, a surface air shower array, and a new buried component called DeepCore. DeepCore was designed to lower the IceCube neutrino energy threshold by over an order of magnitude, to energies as low as about 10 GeV. DeepCore is situated primarily 2100 m below the surface of the icecap at the South Pole, at the bottom center of the existing IceCube array, and began taking physics data in May 2010. Its location takes advantage of the exceptionally clear ice at those depths and allows it to use the surrounding IceCube detector as a highly efficient active veto against the principal background of downward-going muons produced in cosmic-ray air showers. DeepCore has a module density roughly five times higher than that of the standard IceCube array, and uses photomultiplier tubes with a new photocathode featuring a quantum efficiency about 35% higher than standard IceCube PMTs. Taken together, these features of DeepCore will increase IceCube's sensitivity to neutrinos from WIMP dark matter annihilations, atmospheric neutrino oscillations, galactic supernova neutrinos, and point sources of neutrinos in the northern and southern skies. In this paper we describe the design and initial performance of DeepCore.
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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 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.
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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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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$\delta_{\rm CP}$-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.