214 citations · 744 across the 16 of their papers we have counts for
16 papers
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…
A next-generation optical sensor for IceCube-Gen2
Vedant Basu, Aya Ishihara, Markus Dittmer +1
For the in-ice component of the next generation neutrino observatory at the South Pole, IceCube-Gen2, a new sensor module is being developed, which is an evolution of the D-Egg and…
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…
All-flavor constraints on nonstandard neutrino interactions and generalized matter potential with three years of IceCube DeepCore data
IceCube Collaboration, R. Abbasi, M. Ackermann +370
We report constraints on nonstandard neutrino interactions (NSI) from the observation of atmospheric neutrinos with IceCube, limiting all individual coupling strengths from a singl…
A search for time-dependent astrophysical neutrino emission with IceCube data from 2012 to 2017
IceCube Collaboration, R. Abbasi, M. Ackermann +361
High-energy neutrinos are unique messengers of the high-energy universe, tracing the processes of cosmic-ray acceleration. This paper presents analyses focusing on time-dependent n…