activity
20172023
most citedImproved Characterization of the Astrophysical Muon-Neutrino Flux with 9.5 Years of IceCube Data

241 citations · 974 across the 20 of their papers we have counts for

collaborators

20 papers

hep-ex2023★ 2 cited

Search for quantum black hole production in lepton+jet final states using proton-proton collisions at = 13 TeV with the ATLAS detector

ATLAS Collaboration

A search for quantum black holes in electron+jet and muon+jet invariant mass spectra is performed with 140 fb of data collected by the ATLAS detector in proton-proton collis…

hep-ex2022★ 3 cited

Measurement of the inclusive production cross section in the lepton+jets channel in collisions at = 7 TeV with the ATLAS detector using support vector machines

ATLAS Collaboration

A measurement of the top quark pair-production cross section in the lepton+jets decay channel is presented. It is based on 4.6 fb of TeV collision data…

astro-ph.HE2022★ 26 cited

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…

astro-ph.HE2021★ 241 cited

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…

astro-ph.HE2021★ 28 cited

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…

astro-ph.HE2021★ 18 cited

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…