activity
20192022
most citedImproved Characterization of the Astrophysical Muon-Neutrino Flux with 9.5 Years of IceCube Data

241 citations · 495 across the 15 of their papers we have counts for

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10 papers · 1 filter

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★ 46 cited

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…

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★ 2 cited

KM3NeT/ARCA expectations in view of a novel multimessenger study of starburst galaxies

Antonio Marinelli, Antonio Ambrosone, Walid Idrissi Ibnsalih +4

Starburst galaxies (SBGs) and more in general starforming galaxies represent a class of galaxies with a high star formation rate (up to 100 solar masses/year). Despite their low lu…

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…

astro-ph.HE2021★ 5 cited

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…

astro-ph.HE2021★ 3 cited

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…

astro-ph.HE2021★ 10 cited

Study of Mass Composition of Cosmic Rays with IceTop and IceCube

Paras Koundal, Matthias Plum, Julian Saffer

The IceCube Neutrino Observatory is a multi-component detector at the South Pole which detects high-energy particles emerging from astrophysical events. These particles provide us…

astro-ph.HE2021★ 15 cited

Search for GeV Neutrino Emission During Intense Gamma-Ray Solar Flares with the IceCube Neutrino Observatory

R. Abbasi, M. Ackermann, J. Adams +364

Solar flares convert magnetic energy into thermal and non-thermal plasma energy, the latter implying particle acceleration of charged particles such as protons. Protons are injecte…