IceCube Search for High-Energy Neutrinos from Ultra-Luminous Infrared Galaxies

IceCube Collaboration, Pablo Correa Camiroaga, Nicolaas Van Eijndhoven, Krijn De Vries

Research output: Chapter in Book/Report/Conference proceedingConference paperResearch

Abstract

With infrared luminosities LIR ≥ 1012L , Ultra-Luminous Infrared Galaxies (ULIRGs) are the most luminous objects in the infrared sky. They are predominantly powered by starburst regions with star-formation rates & 100 M yr-1. ULIRGs can also host an active galactic nucleus (AGN). Both the starburst and AGN environments contain plausible hadronic accelerators, making ULIRGs candidate neutrino sources. We present the results of an IceCube stacking analysis searching for high-energy neutrinos from a representative sample of 75 ULIRGs with redshift z ≤ 0.13. While no significant excess of ULIRG neutrinos is found in 7.5 years of IceCube data, upper limits are reported on the neutrino flux from these 75 ULIRGs as well as an extrapolation for the full ULIRG source population. In addition, constraints are provided on models predicting neutrino emission from ULIRGs.

Original languageEnglish
Title of host publication37th International Cosmic Ray Conference
PublisherProceedings of Science
Number of pages11
Volume395
DOIs
Publication statusPublished - 18 Mar 2022
EventInternational Cosmic Ray Conference 2021 -
Duration: 12 Jul 202123 Jul 2021
https://icrc2021.desy.de/

Publication series

NameProceedings of Science
PublisherSISSA
ISSN (Print)1824-8039

Conference

ConferenceInternational Cosmic Ray Conference 2021
Period12/07/2123/07/21
Internet address

Bibliographical note

Funding Information:
USA – U.S. National Science Foundation-Office of Polar Programs, U.S. National Science Foundation-Physics Division, U.S. National Science Foundation-EPSCoR, Wisconsin Alumni Research Foundation, Center for High Throughput Computing (CHTC) at the University of Wisconsin–Madison, Open Science Grid (OSG), Extreme Science and Engineering Discovery Environment (XSEDE), Frontera computing project at the Texas Advanced Computing Center, U.S. Department of Energy-National Energy Research Scientific Computing Center, Particle astrophysics research computing center at the University of Maryland, Institute for Cyber-Enabled Research at Michigan State University, and Astroparticle physics computational facility at Marquette University; Belgium – Funds for Scientific Research (FRS-FNRS and FWO), FWO Odysseus and Big Science programmes, and Belgian Federal Science Policy Office (Belspo); Germany – Bundesministerium für Bildung und Forschung (BMBF), Deutsche Forschungsgemeinschaft (DFG), Helmholtz Alliance for Astroparticle Physics (HAP), Initiative and Networking Fund of the Helmholtz Association, Deutsches Elektronen Synchrotron (DESY), and High Performance Computing cluster of the RWTH Aachen; Sweden – Swedish Research Council, Swedish Polar Research Secretariat, Swedish National Infrastructure for Computing (SNIC), and Knut and Alice Wallenberg Foundation; Australia – Australian

Funding Information:
Research Council; Canada – Natural Sciences and Engineering Research Council of Canada, Calcul Québec, Compute Ontario, Canada Foundation for Innovation, WestGrid, and Compute Canada; Denmark – Villum Fonden and Carlsberg Foundation; New Zealand – Marsden Fund; Japan – Japan Society for Promotion of Science (JSPS) and Institute for Global Prominent Research (IGPR) of Chiba University; Korea – National Research Foundation of Korea (NRF); Switzerland – Swiss National Science Foundation (SNSF); United Kingdom – Department of Physics, University of Oxford.

Publisher Copyright:
© Copyright owned by the author(s).

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

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