34 citations · 70 across the 6 of their papers we have counts for
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astro-ph.HE2021★ 18 cited
Combining Maximum-Likelihood with Deep Learning for Event Reconstruction in IceCube
Mirco Hünnefeld
The field of deep learning has become increasingly important for particle physics experiments, yielding a multitude of advances, predominantly in event classification and reconstru…
astro-ph.HE2021★ 5 cited
Reconstructing Neutrino Energy using CNNs for GeV Scale IceCube Events
Jessie Micallef
Measurements of neutrinos at and below 10 GeV provide unique constraints of neutrino oscillation parameters as well as probes of potential Non-Standard Interactions (NSI). The IceC…
astro-ph.HE2021★ 11 cited
Probing neutrino emission at GeV energies from compact binary mergers with the IceCube Neutrino Observatory
IceCube Collaboration, R. Abbasi, M. Ackermann +415
The advent of multi-messenger astronomy has allowed for new types of source searches by neutrino detectors. We present the results of the search for 0.5-100 GeV astrophysical neutr…