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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…
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…
Search for GeV Neutrino Emission During Intense Gamma-Ray Solar Flares with the IceCube Neutrino Observatory
R. Abbasi, M. Ackermann, J. Adams +364
Solar flares convert magnetic energy into thermal and non-thermal plasma energy, the latter implying particle acceleration of charged particles such as protons. Protons are injecte…
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…
Measurements of the Time-Dependent Cosmic-Ray Sun Shadow with Seven Years of IceCube Data -- Comparison with the Solar Cycle and Magnetic Field Models
M. G. Aartsen, R. Abbasi, M. Ackermann +376
Observations of the time-dependent cosmic-ray Sun shadow have been proven as a valuable diagnostic for the assessment of solar magnetic field models. In this paper, seven years of…