450 citations · 1.3k across the 21 of their papers we have counts for
21 papers
Low Energy Event Reconstruction in IceCube DeepCore
R. Abbasi, M. Ackermann, J. Adams +381
The reconstruction of event-level information, such as the direction or energy of a neutrino interacting in IceCube DeepCore, is a crucial ingredient to many physics analyses. Algo…
Density of GeV muons in air showers measured with IceTop
R. Abbasi, M. Ackermann, J. Adams +376
We present a measurement of the density of GeV muons in near-vertical air showers using three years of data recorded by the IceTop array at the South Pole. Depending on the shower…
Improved Characterization of the Astrophysical Muon-Neutrino Flux with 9.5 Years of IceCube Data
R. Abbasi, M. Ackermann, J. Adams +376
We present a measurement of the high-energy astrophysical muon-neutrino flux with the IceCube Neutrino Observatory. The measurement uses a high-purity selection of ~650k neutrino-i…
A search for neutrino emission from cores of Active Galactic Nuclei
R. Abbasi, M. Ackermann, J. Adams +376
The sources of the majority of the high-energy astrophysical neutrinos observed with the IceCube neutrino telescope at the South Pole are unknown. So far, only a gamma-ray blazar w…
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…