73 citations · 170 across the 9 of their papers we have counts for
15 papers
GraphNeT: Graph neural networks for neutrino telescope event reconstruction
Andreas Søgaard, Rasmus F. Ørsøe, Leon Bozianu +6
GraphNeT is an open-source python framework aimed at providing high quality, user friendly, end-to-end functionality to perform reconstruction tasks at neutrino telescopes using gr…
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…
Measuring the Neutrino Cross Section Using 8 years of Upgoing Muon Neutrinos Observed with IceCube
S. Robertson
The IceCube Neutrino Observatory detects neutrinos at energies orders of magnitude higher than those available to current accelerators. Above 40 TeV, neutrinos traveling through th…
Reconstruction of Neutrino Events in IceCube using Graph Neural Networks
Martin Ha Minh
The IceCube Neutrino Observatory is a cubic-kilometer scale neutrino detector embedded in the Antarctic ice of the South Pole. In the near future, the detector will be augmented by…
Design and performance of the multi-PMT optical module for IceCube Upgrade
T. Anderson, L. Classen, A. T. Fienberg +5
The IceCube Upgrade is the first step towards the next-generation neutrino observatory at the South Pole, IceCube-Gen2, and will be installed in the central region of the existing…
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…