71 citations · 164 across the 5 of their papers we have counts for
13 papers
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…
The IceCube-Gen2 Collaboration -- Contributions to the 37th International Cosmic Ray Conference (ICRC2021)
Gen2 Collaboration, R. Abbasi, M. Ackermann +437
IceCube-Gen2 is a planned extension of the IceCube Neutrino Observatory at the South Pole. The extension is optimized to search for sources of astrophysical neutrinos from TeV to E…
The IceCube Collaboration -- Contributions to the 37th International Cosmic Ray Conference (ICRC2021)
IceCube Collaboration, R. Abbasi, M. Ackermann +378
This list of contributions to the 37th International Cosmic Ray Conference in Berlin, Germany (12-23 July 2021) summarizes the latest results from the IceCube Neutrino Observatory.…
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…
IceCube Data for Neutrino Point-Source Searches Years 2008-2018
IceCube Collaboration, R. Abbasi, M. Ackermann +370
IceCube has performed several all-sky searches for point-like neutrino sources using track-like events, including a recent time-integrated analysis using 10 years of IceCube data.…
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…