activity
20082025
most citedTime-integrated Neutrino Source Searches with 10 years of IceCube Data

450 citations · 3.4k across the 61 of their papers we have counts for

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Showing 2021Show all

13 papers · 1 filter

astro-ph.HE2021★ 17 cited

The UHECR dipole and quadrupole in the latest data from the original Auger and TA surface detectors

Peter Tinyakov, Luis Anchordoqui, Teresa Bister +13

The sources of ultra-high-energy cosmic rays are still unknown, but assuming standard physics, they are expected to lie within a few hundred megaparsecs from us. Indeed, over cosmo…

astro-ph.HE2021★ 22 cited

UHECR arrival directions in the latest data from the original Auger and TA surface detectors and nearby galaxies

Armando di Matteo, Luis Anchordoqui, Teresa Bister +13

The distribution of ultra-high-energy cosmic-ray arrival directions appears to be nearly isotropic except for a dipole moment of order per cent. None…

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★ 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…