| Issue |
EPJ Web Conf.
Volume 319, 2025
RICAP-24, 9th Roma International Conference on Astroparticle Physics
|
|
|---|---|---|
| Article Number | 06004 | |
| Number of page(s) | 4 | |
| Section | Parallel Session: Searches for Extragalactic Astrophysical Sources | |
| DOI | https://doi.org/10.1051/epjconf/202531906004 | |
| Published online | 06 March 2025 | |
https://doi.org/10.1051/epjconf/202531906004
Investigating the AGN-neutrino connection with public IceCube data
Max Planck Institute for Physics, Boltzmannstraße 8, 85748 Garching
* e-mail: kuhlmann@mpp.mpg.de
Published online: 6 March 2025
We present the first application of a newly developed hierarchical Bayesian analysis framework for the detection of point-like sources of high-energy neutrinos. We verify that we are able to reproduce the results of the standard frequentist approach for the case of NGC 1068, a Seyfert II galaxy. Our results are robust against reasonable variations of the spectral index prior. However, simulated event rates of mainly atmospheric events do not agree with measurements, presumably due to the binning of the provided instrument response function. We propose an adaptation for the issue and draw a coherent picture of the impact on point source analyses. For future studies moving from finding to characterising sources of high-energy neutrinos the accuracy of the detector response is pivotal for drawing conclusions about the source spectrum.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.