38 citations · 38 across the 2 of their papers we have counts for
3 papers
hep-ex2024
Measurement of atmospheric neutrino oscillation parameters using convolutional neural networks with 9.3 years of data in IceCube DeepCore
IceCube Collaboration
The DeepCore sub-detector of the IceCube Neutrino Observatory provides access to neutrinos with energies above approximately 5 GeV. Data taken between 2012-2021 (3,387 days) are ut…
astro-ph.IM2022
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…
hep-ex2022★ 38 cited
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…