activity
20142023
most citedIceCube-Gen2: A Vision for the Future of Neutrino Astronomy in Antarctica

150 citations · 338 across the 12 of their papers we have counts for

collaborators
Showing astro-ph.HEShow all

9 papers · 1 filter

astro-ph.HE202314 cited

Galactic and Extragalactic Analysis of the Astrophysical Muon Neutrino Flux with 12.3 years of IceCube Track Data

Philipp Fürst

The Ice Cube Neutrino Observatory has been measuring an isotropic astrophysical neutrino flux in multiple detection channels for almost a decade. Galactic diffuse emission, which a…

astro-ph.HE20237 cited

Towards a more robust reconstruction method for IceCube's real-time program

G. Sommani, C. Lagunas Gualda, H. Niederhausen

Sources of astrophysical neutrinos can potentially be discovered through the detection of neutrinos in coincidence with electromagnetic counterparts. Real-time alerts generated by…

astro-ph.HE202331 cited

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…

astro-ph.HE202226 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.HE202265 cited

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…

astro-ph.HE202118 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…