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Measurement of Atmospheric Neutrino Mixing with Improved IceCube DeepCore Calibration and Data Processing
IceCube Collaboration, R. Abbasi, M. Ackermann +404
We describe a new data sample of IceCube DeepCore and report on the latest measurement of atmospheric neutrino oscillations obtained with data recorded between 2011-2019. The sampl…
Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube
R. Abbasi, M. Ackermann, J. Adams +380
IceCube, a cubic-kilometer array of optical sensors built to detect atmospheric and astrophysical neutrinos between 1 GeV and 1 PeV, is deployed 1.45 km to 2.45 km below the surfac…
Searches for Connections between Dark Matter and High-Energy Neutrinos with IceCube
R. Abbasi, M. Ackermann, J. Adams +376
In this work, we present the results of searches for signatures of dark matter decay or annihilation into Standard Model particles, and secret neutrino interactions with dark matte…
Strong constraints on neutrino nonstandard interactions from TeV-scale disappearance at IceCube
IceCube Collaboration, R. Abbasi, M. Ackermann +380
We report a search for nonstandard neutrino interactions (NSI) using eight years of TeV-scale atmospheric muon neutrino data from the IceCube Neutrino Observatory. By reconstructin…
A muon-track reconstruction exploiting stochastic losses for large-scale Cherenkov detectors
R. Abbasi, M. Ackermann, J. Adams +362
IceCube is a cubic-kilometer Cherenkov telescope operating at the South Pole. The main goal of IceCube is the detection of astrophysical neutrinos and the identification of their s…
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory
R. Abbasi, M. Ackermann, J. Adams +364
Continued improvements on existing reconstruction methods are vital to the success of high-energy physics experiments, such as the IceCube Neutrino Observatory. In IceCube, further…