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20222025
most citedGraph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube

38 citations · 38 across the 1 of their papers we have counts for

collaborators

5 papers

astro-ph.HE2025

Constraints on the Correlation of IceCube Neutrinos with Tracers of Large-Scale Structure

R. Abbasi, M. Ackermann, J. Adams +430

The IceCube Neutrino Observatory has observed extragalactic astrophysical neutrinos with an apparently isotropic distribution. Only a small fraction of the observed astrophysical n…

hep-ex2025

Search for Heavy Neutral Leptons with IceCube DeepCore

R. Abbasi, M. Ackermann, J. Adams +421

The observation of neutrino oscillations has established that neutrinos have non-zero masses. This phenomenon is not explained by the Standard Model of particle physics, but one vi…

astro-ph.HE2025

Time-Integrated Southern-Sky Neutrino Source Searches with 10 Years of IceCube Starting-Track Events at Energies Down to 1 TeV

R. Abbasi, M. Ackermann, J. Adams +423

In the IceCube Neutrino Observatory, a signal of astrophysical neutrinos is obscured by backgrounds from atmospheric neutrinos and muons produced in cosmic-ray interactions. IceCub…

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…

hep-ex202238 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…