Pith. sign in

REVIEW 1 cited by

Neutrino signal from a population of Seyfert galaxies

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2306.09018 v2 pith:RPTJ7IHM submitted 2023-06-15 astro-ph.HE astro-ph.CO

A.Neronov , D.Savchenko , D.V.Semikoz This is my paper · ORCID
classification astro-ph.HEastro-ph.CO
keywords neutrinoseyfertgalaxiessourcesicecubesignalevidenceexpected
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

IceCube collaboration has previously reported an evidence for neutrino signal from a Seyfert galaxy NGC 1068. This may suggest that all Seyfert galaxies emit neutrinos. To test this hypothesis, we identify the best candidate neutrino sources among nearby Seyfert galaxies, based on their hard X-ray properties. Only two other sources, NGC 4151 and NGC 3079 are expected to be detectable in 10 years of IceCube data. We find an evidence (~3 sigma)} for neutrino signal from both sources in publicly available ten-year IceCube dataset. {Though neither source alone is above the threshold for discovery,} the chance coincidence probability to find the observed neutrino count excesses in the directions of the two out of two expected sources, in addition to the previously reported brightest source, is p<2.6e-7. This corresponds to a correlation between Seyfert galaxies and neutrino emission.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Bayesian Deep-stacking for High-energy Neutrino Searches

    astro-ph.HE 2025-02 conditional novelty 6.0 of 10

    A hierarchical Bayesian stacking framework improves sensitivity for detecting faint high-energy neutrino source populations when per-source flux predictions are uncertain.

Pith tools