Resumen:
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[EN] Active galaxies, especially blazars, are among the most promising extragalactic candidates for high-energy neutrino sources. To date, ANTARES searches included these objects and used GeV-TeV gamma-ray flux to select ...[+]
[EN] Active galaxies, especially blazars, are among the most promising extragalactic candidates for high-energy neutrino sources. To date, ANTARES searches included these objects and used GeV-TeV gamma-ray flux to select blazars. Here, a statistically complete blazar sample selected by their bright radio emission is used as the target for searches of origins of neutrinos collected by the ANTARES neutrino telescope over 13 yr of operation. The hypothesis of a neutrino-blazar directional correlation is tested by pair counting and a complementary likelihood-based approach. The resulting posttrial p-value is 3.0% (2.2 sigma in the two-sided convention). Additionally, a time-dependent analysis is performed to search for temporal clustering of neutrino candidates as a means of detecting neutrino flares in blazars. None of the investigated sources alone reaches a significant flare detection level. However, the presence of 18 sources with a pretrial significance above 3 sigma indicates a p = 1.4% (2.5 sigma in the two-sided convention) detection of a time-variable neutrino flux. An a posteriori investigation reveals an intriguing temporal coincidence of neutrino, radio, and gamma-ray flares of the J0242+1101 blazar at a p = 0.5% (2.9 sigma in the two-sided convention) level. Altogether, the results presented here suggest a possible connection of neutrino candidates detected by the ANTARES telescope with radio-bright blazars.
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Agradecimientos:
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We thank Eduardo Ros for helpful comments on the
manuscript. This research has made use of data from the
OVRO 40 m monitoring program, supported by private funding
from the California Institute of Technology and the Max ...[+]
We thank Eduardo Ros for helpful comments on the
manuscript. This research has made use of data from the
OVRO 40 m monitoring program, supported by private funding
from the California Institute of Technology and the Max Planck
Institute for Radio Astronomy, and by NASA grants
NNX08AW31G, NNX11A043G, and NNX14AQ89G and
NSF grants AST-0808050 and AST-1109911.
The authors acknowledge the financial support of the
funding agencies: Centre National de la Recherche Scientifique
(CNRS), Commissariat à l énergie atomique et aux énergies
alternatives (CEA), Commission Européenne (FEDER fund
and Marie Curie Program), LabEx UnivEarthS (ANR-10-
LABX-0023 and ANR-18-IDEX-0001), Région Alsace (contrat CPER), Région Provence-Alpes-Côte d Azur, Département
du Var and Ville de La Seyne-sur-Mer, France; Bundesministerium für Bildung und Forschung (BMBF), Germany; Istituto
Nazionale di Fisica Nucleare (INFN), Italy; Nederlandse
organisatie voor Wetenschappelijk Onderzoek (NWO), the
Netherlands; Executive Unit for Financing Higher Education,
Research, Development and Innovation (UEFISCDI), Romania; grants PID2021-124591NB-C41, -C42, -C43 funded by
MCIN/AEI/ 10.13039/501100011033 and, as appropriate, by
ERDF A way of making Europe, by the European Union
or by the European Union NextGenerationEU/PRTR,
Programa de Planes Complementarios I+D+I (refs. ASFAE/
2022/023, ASFAE/2022/014), Programa Prometeo (PROMETEO/2020/019) and GenT (refs. CIDEGENT/2018/034,
/2019/043, /2020/049. /2021/23) of the Generalitat Valenciana, EU: MSC program (ref. 101025085), Spain; Ministry of
Higher Education, Scientific Research and Innovation, Morocco; and the Arab Fund for Economic and Social Development, Kuwait. We also acknowledge the technical support of
Ifremer, AIM, and Foselev Marine for the sea operation and the
CC-IN2P3 for the computing facilities. Y.Y.K. acknowledges
support from the M2FINDERS project, which has received
funding from the European Research Council (ERC) under the
European Unionʼs Horizon 2020 Research and Innovation
Programme (grant agreement No. 101018682). T.H. was
supported by the Academy of Finland projects 317383,
320085, 322535, and 345899. S.K. acknowledges support
from the European Research Council (ERC) under the
European Union's Horizon 2020 research and innovation
program under grant agreement No. 771282.
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