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.
Measurement of South Pole ice transparency with the IceCube LED calibration system
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
The IceCube Neutrino Observatory, approximately 1 km^3 in size, is now complete with 86 strings deployed in the Antarctic ice. IceCube detects the Cherenkov radiation emitted by charged particles passing through or created in the ice. To realize the full potential of the detector, the properties of light propagation in the ice in and around the detector must be well understood. This report presents a new method of fitting the model of light propagation in the ice to a data set of in-situ light source events collected with IceCube. The resulting set of derived parameters, namely the measured values of scattering and absorption coefficients vs. depth, is presented and a comparison of IceCube data with simulations based on the new model is shown.
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Probabilistic distributions are built for Cherenkov emission parameters from particle showers to model fluctuations in amplitude and shape along the shower axis for neutrino telescope simulations.
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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Probabilistic modeling of Cherenkov emission from particle showers
Probabilistic distributions are built for Cherenkov emission parameters from particle showers to model fluctuations in amplitude and shape along the shower axis for neutrino telescope simulations.