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Constraints on the Correlation of IceCube Neutrinos with a Tracer of Nearby Large-scale Structure

Abstract:
The IceCube Neutrino Observatory has observed extragalactic astrophysical neutrinos with an apparently isotropic distribution. Only a small fraction of the observed astrophysical neutrinos can be explained by known sources. Neutrino production is thought to occur in energetic environments that are ultimately powered by the gravitational collapse of dense regions of the large-scale mass distribution in the universe. Whatever their identity, neutrino sources likely trace this large-scale mass distribution. The clustering of neutrinos with a tracer of the large-scale structure may provide insight into the distribution of neutrino sources with respect to redshift and the identity of neutrino sources. We implement a two-point angular cross correlation of the Northern sky track events with an infrared galaxy catalog derived from the Wide-field Infrared Survey Explorer (WISE) and Two Micron All Sky Survey (2MASS) source catalogs, which trace the nearby large-scale structure. No statistically significant correlation is found between the neutrinos and this infrared galaxy catalog. We find that ≤54% of the diffuse muon neutrino flux can be attributed to sources correlated with the galaxy catalog with 90% confidence. Additionally, when assuming that the neutrino source comoving density evolves following a power law in redshift, dNs/dV ∝ (1 + z)k, we find that sources with negative evolution, in particular k < −1.75, are disfavored at the 90% confidence level.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3847/1538-4357/ae43df

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Role:
Author
ORCID:
0000-0001-6141-4205
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Role:
Author
ORCID:
0000-0001-8952-588X
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Author
ORCID:
0000-0002-9714-8866
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Author
ORCID:
0000-0003-2252-9514


Publisher:
American Astronomical Society
Journal:
The Astrophysical Journal More from this journal
Volume:
1000
Issue:
1
Pages:
124
Article number:
124
Publication date:
2026-03-17
Acceptance date:
2026-02-06
DOI:
EISSN:
1538-4357
ISSN:
0004637X, 0004-637X


Language:
English
Keywords:
Pubs id:
2392697
Local pid:
pubs:2392697
Source identifiers:
3858477
Deposit date:
2026-03-17
ARK identifier:
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