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Fermi-LAT follow-up observations in seven years of real-time high-energy neutrino alerts




TekijätGarrappa, S.; Buson, S.; Sinapius, J.; Franckowiak, A.; Liodakis, I.; Bartolini, C.; Giroletti, M.; Nanci, C.; Principe, G.; Venters, T. M.

KustantajaEDP Sciences

Julkaisuvuosi2024

JournalAstronomy and Astrophysics

Tietokannassa oleva lehden nimi\aap

Artikkelin numeroA59

Vuosikerta687

ISSN0004-6361

eISSN1432-0746

DOIhttps://doi.org/10.1051/0004-6361/202449221

Verkko-osoitehttps://www.aanda.org/articles/aa/full_html/2024/07/aa49221-24/aa49221-24.html

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/457148673

Preprintin osoitehttps://arxiv.org/abs/2401.06666


Tiivistelmä

The realtime program for high-energy neutrino track events detected by the IceCube South Pole Neutrino Observatory releases alerts to the astronomical community with the goal of identifying electromagnetic counterparts to astrophysical neutrinos. Gamma-ray observations from the Fermi-Large Area Telescope (LAT) enabled the identification of the flaring gamma-ray blazar TXS 0506+056 as a likely counterpart to the neutrino event IC-170922A. By continuously monitoring the gamma-ray sky, Fermi-LAT plays a key role in the identification of candidate counterparts to realtime neutrino alerts. In this paper, we present the Fermi-LAT strategy for following up high-energy neutrino alerts applied to seven years of IceCube data. Right after receiving an alert, a search is performed in order to identify gamma-ray activity from known and newly detected sources that are positionally consistent with the neutrino localization. In this work, we study the population of blazars found in coincidence with high-energy neutrinos and compare them to the full population of gamma-ray blazars detected by Fermi-LAT. We also evaluate the relationship between the neutrino and gamma-ray luminosities, finding different trends between the two blazar classes BL Lacs and flat-spectrum radio quasars.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.




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Research funded by Deutsche Forschungsgemeinschaft (SFB1491,Ts 17/2-1) | European Research Council (949555) | DOE (DE-AC02-76SF00515)


Last updated on 2025-27-01 at 19:30