37 citations · 81 across the 12 of their papers we have counts for
6 papers · 1 filter
The LED calibration systems for the mDOM and D-Egg sensor modules of the IceCube Upgrade
R. Abbasi, M. Ackermann, J. Adams +432
The IceCube Neutrino Observatory, instrumenting about 1 km of deep, glacial ice at the geographic South Pole, is due to be enhanced with the IceCube Upgrade. The IceCube Upgrad…
Identification and Denoising of Radio Signals from Cosmic-Ray Air Showers using Convolutional Neural Networks
R. Abbasi, M. Ackermann, J. Adams +426
Radio pulses generated by cosmic-ray air showers can be used to reconstruct key properties like the energy and depth of the electromagnetic component of cosmic-ray air showers. Rad…
GollumFit: An IceCube Open-Source Framework for Binned-Likelihood Neutrino Telescope Analyses
IceCube Collaboration
We present GollumFit, a framework designed for performing binned-likelihood analyses on neutrino telescope data. GollumFit incorporates model parameters common to any neutrino tele…
Fast Low Energy Reconstruction using Convolutional Neural Networks
IceCube Collaboration
IceCube is a Cherenkov detector instrumenting over a cubic kilometer of glacial ice deep under the surface of the South Pole. The DeepCore sub-detector lowers the detection energy…
Measurement of the inelasticity distribution of neutrino-nucleon interactions for with IceCube DeepCore
IceCube Collaboration, R. Abbasi, M. Ackermann +425
We report a study of the inelasticity distribution in the scattering of neutrinos of energy GeV off nucleons. Using atmospheric muon neutrinos detected in IceCube's sub-ar…
Search for Extremely-High-Energy Neutrinos and First Constraints on the Ultrahigh-Energy Cosmic-Ray Proton Fraction with IceCube
IceCube Collaboration, R. Abbasi, M. Ackermann +423
We present a search for the diffuse extremely-high-energy neutrino flux using years of IceCube data. The nonobservation of neutrinos with energies well above $10 \, \mathrm{…