450 citations · 1.2k across the 19 of their papers we have counts for
19 papers
Search for Astrophysical Neutrinos from 1FLE Blazars with IceCube
R. Abbasi, M. Ackermann, J. Adams +379
The majority of astrophysical neutrinos have undetermined origins. The IceCube Neutrino Observatory has observed astrophysical neutrinos but has not yet identified their sources. B…
First Search for Unstable Sterile Neutrinos with the IceCube Neutrino Observatory
R. Abbasi, M. Ackermann, J. Adams +380
We present a search for an unstable sterile neutrino by looking for a matter-induced signal in eight years of atmospheric data collected from 2011 to 2019 at the IceCube Neut…
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…
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…