Assessing coincident neutrino detections using population models
F. Capel, J. M. Burgess, D. J. Mortlock, P. Padovani

TL;DR
This paper uses population models and Monte Carlo simulations to evaluate the significance of neutrino-source associations, particularly focusing on blazars and the IC170922A--TXS 0506+056 event, providing constraints on neutrino flux ratios and source populations.
Contribution
It introduces a population-based simulation approach to assess the physical implications of neutrino-source associations, especially for blazars, and constrains flux ratios and source sub-populations.
Findings
7.6% chance of false coincidence under null model
Low neutrino to gamma-ray flux ratio (~10^{-2}) needed to match observations
Neutrino production likely limited to rare blazar sub-populations or flares
Abstract
Several tentative associations between high-energy neutrinos and astrophysical sources have been recently reported, but a conclusive identification of these potential neutrino emitters remains challenging. We explore the use of Monte Carlo simulations of source populations to gain deeper insight into the physical implications of proposed individual source--neutrino associations. In particular, we focus on the IC170922A--TXS~0506+056 observation. Assuming a null model, we find a 7.6\% chance of mistakenly identifying coincidences between -ray flares from blazars and neutrino alerts in 10-year surveys. We confirm that a blazar--neutrino connection based on the -ray flux is required to find a low chance coincidence probability and, therefore, a significant IC170922A--TXS~0506+056 association. We then assume this blazar--neutrino connection for the whole population and find…
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Taxonomy
TopicsAstrophysics and Cosmic Phenomena · Neutrino Physics Research · Particle physics theoretical and experimental studies
