380 citations · 1.5k across the 35 of their papers we have counts for
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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…
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…
Single Particle Detection System for Strong-Field QED Experiments
F. C. Salgado, N. Cavanagh, M. Tamburini +23
Measuring signatures of strong-field quantum electrodynamics (SF-QED) processes in an intense laser field is an experimental challenge: it requires detectors to be highly sensitive…
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…
Measurement of the high-energy all-flavor neutrino-nucleon cross section with IceCube
R. Abbasi, M. Ackermann, J. Adams +361
The flux of high-energy neutrinos passing through the Earth is attenuated due to their interactions with matter. The interaction rate is modulated by the neutrino interaction cross…