A Search for Neutrino Point-source Populations in 7 yr of IceCube Data with Neutrino-count Statistics
Name
Aartsen_2020_ApJ_893_102.pdf
Description
Published version
Size
2.25 MB
Format
Unknown
Checksum (MD5)
e69e92afcba651e425b9cf74c4912c3d
Author(s)
Arguelles Delgado, Carlos A
Axani, Spencer Nicholas
Collin, G. H.
Conrad, Janet Marie
Diaz, Alejandro
Moulai, Marjon H.
Rodd, Nicholas Llewellyn
Safdi, Benjamin
Date Issued
2020
Journal
Astrophysical Journal
Publisher
American Astronomical Society
Version
Final published version
Abstract
© 2020. The American Astronomical Society. All rights reserved The presence of a population of point sources in a data set modifies the underlying neutrino-count statistics from the Poisson distribution. This deviation can be exactly quantified using the non-Poissonian template fitting technique, and in this work we present the first application of this approach to the IceCube high-energy neutrino data set. Using this method, we search in 7 yr of IceCube data for point-source populations correlated with the disk of the Milky Way, the Fermi bubbles, the Schlegel, Finkbeiner, and Davis dust map, or with the isotropic extragalactic sky. No evidence for such a population is found in the data using this technique, and in the absence of a signal, we establish constraints on population models with source-count distribution functions that can be described by a power law with a single break. The derived limits can be interpreted in the context of many possible source classes. In order to enhance the flexibility of the results, we publish the full posterior from our analysis, which can be used to establish limits on specific population models that would contribute to the observed IceCube neutrino flux.
MIT Department
Massachusetts Institute of Technology. Institute for Data, Systems, and Society
Massachusetts Institute of Technology. Department of Physics
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.3847/1538-4357/ab7af9
