18 citations · 36 across the 4 of their papers we have counts for
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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…
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…
Multi-messenger searches via IceCube's high-energy neutrinos and gravitational-wave detections of LIGO/Virgo
Doğa Veske, Raamis Hussain, Zsuzsa Márka +5
We summarize initial results for high-energy neutrino counterpart searches coinciding with gravitational-wave events in LIGO/Virgo's GWTC-2 catalog using IceCube's neutrino trigger…
Study of Mass Composition of Cosmic Rays with IceTop and IceCube
Paras Koundal, Matthias Plum, Julian Saffer
The IceCube Neutrino Observatory is a multi-component detector at the South Pole which detects high-energy particles emerging from astrophysical events. These particles provide us…