65 citations · 195 across the 10 of their papers we have counts for
10 papers
Constraining High-Energy Neutrino Emission from Supernovae with IceCube
R. Abbasi, M. Ackermann, J. Adams +384
Core-collapse supernovae are a promising potential high-energy neutrino source class. We test for correlation between seven years of IceCube neutrino data and a catalog containing…
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…
SNGuess: A method for the selection of young extragalactic transients
N. Miranda, J. C. Freytag, J. Nordin +7
With a rapidly rising number of transients detected in astronomy, classification methods based on machine learning are increasingly being employed. Their goals are typically to obt…
Searches for Neutrinos from Gamma-Ray Bursts using the IceCube Neutrino Observatory
R. Abbasi, M. Ackermann, J. Adams +378
Gamma-ray bursts (GRBs) are considered as promising sources of ultra-high-energy cosmic rays (UHECRs) due to their large power output. Observing a neutrino flux from GRBs would off…
Search for multi-flare neutrino emissions in 10 years of IceCube data from a catalog of sources
IceCube collaboration, R. Abbasi, M. Ackermann +375
A recent time-integrated analysis of a catalog of 110 candidate neutrino sources revealed a cumulative neutrino excess in the data collected by IceCube between April 6, 2008 and Ju…
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…