A Search for Neutrino Point-Source Populations in 7 Years of IceCube Data with Neutrino-count Statistics
IceCube Collaboration: M. G. Aartsen, M. Ackermann, J. Adams, J. A., Aguilar, M. Ahlers, M. Ahrens, C. Alispach, K. Andeen, T. Anderson, I., Ansseau, G. Anton, C. Arg\"uelles, J. Auffenberg, S. Axani, P. Backes, H., Bagherpour, X. Bai, A. Balagopal V., A. Barbano, S. W. Barwick

TL;DR
This study applies a novel non-Poissonian template fitting method to 7 years of IceCube neutrino data to search for point-source populations, finding no evidence but setting constraints on various models.
Contribution
First application of non-Poissonian template fitting to IceCube data for neutrino point-source population search, providing constraints and full posterior data.
Findings
No significant point-source population detected.
Constraints established on population models with power-law source count distributions.
Full posterior data published for future model testing.
Abstract
The presence of a population of point sources in a dataset 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 this approach to the IceCube high-energy neutrino dataset. Using this method, we search in 7 years 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…
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