activity
20152025
most citedResolving the Extragalactic -ray Background above 50 GeV with Fermi-LAT

180 citations · 230 across the 9 of their papers we have counts for

collaborators
Showing 2023Show all

6 papers · 1 filter

astro-ph.HE2023

Cross Correlation of IceCube Neutrinos with Tracers of Large Scale Structure

David Guevel, Ke Fang

The origin of most astrophysical neutrinos is unknown, but extragalactic neutrino sources may follow the spatial distribution of the large-scale structure of the universe. Galaxies…

astro-ph.HE2023

Searching for high-energy neutrinos from shock-interaction powered supernovae with the IceCube Neutrino Observatory

Massimiliano Lincetto

The sources of the astrophysical neutrino flux discovered by IceCube are for the most part unresolved. Extragalactic core-collapse supernovae (CCSNe) have been suggested as candida…

astro-ph.HE2023★ 2 cited

Searching for High-Energy Neutrino Emission from Seyfert Galaxies in the Northern Sky with IceCube

Theo Glauch, Ali Kheirandish, Tomas Kontrimas +2

The recent detection of TeV neutrino emission from the nearby active galaxy NGC 1068 by IceCube suggests that AGN could make a sizable contribution to the total high-energy cosmic…

astro-ph.HE2023★ 2 cited

Search for high-energy neutrino emission from hard X-ray AGN with IceCube

Sreetama Goswami

Active Galactic Nuclei (AGN) are powerful astronomical objects with very high luminosities. Theoretical arguments suggest that these objects are capable of accelerating particles t…

astro-ph.HE2023

IceCube search for neutrinos from novae

Jessie Thwaites, Justin Vandenbroucke

Despite being one of the longest known classes of astrophysical transients, novae continue to present modern surprises. The Fermi-LAT discovered that many if not all novae are GeV…

astro-ph.GA2023★ 5 cited

Machine learning applications for the study of AGN physical properties using photometric observations

Sarah Mechbal, Markus Ackermann, Marek Kowalski

We investigate the physical nature of active galactic nuclei (AGNs) using machine learning (ML) tools. We show that the redshift, , bolometric luminosity, , central…