450 citations · 1.2k across the 17 of their papers we have counts for
17 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…
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…