Predictions for the Cosmogenic Neutrino Flux in Light of New Data from the Pierre Auger Observatory
Luis A. Anchordoqui, Haim Goldberg, Dan Hooper, Subir Sarkar and, Andrew M. Taylor

TL;DR
This paper uses Pierre Auger Observatory data to constrain cosmic ray composition and spectrum, predicting cosmogenic neutrino fluxes that vary significantly based on the dominant nuclei, impacting future neutrino detection prospects.
Contribution
It provides new constraints on cosmic ray composition and spectrum using recent PAO data, refining predictions for cosmogenic neutrino fluxes and their detectability.
Findings
Heavy nuclei dominate cosmic ray spectrum fitting PAO data.
Cosmogenic neutrino flux can be suppressed by up to two orders of magnitude with heavy nuclei.
Proton-dominated models predict neutrino flux within upcoming detection capabilities.
Abstract
The Pierre Auger Observatory (PAO) has measured the spectrum and composition of the ultrahigh energy cosmic rays with unprecedented precision. We use these measurements to constrain their spectrum and composition as injected from their sources and, in turn, use these results to estimate the spectrum of cosmogenic neutrinos generated in their propagation through intergalactic space. We find that the PAO measurements can be well fit if the injected cosmic rays consist entirely of nuclei with masses in the intermediate (C, N, O) to heavy (Fe, Si) range. A mixture of protons and heavier species is also acceptable but (on the basis of existing hadronic interaction models) injection of pure light nuclei (p, He) results in unacceptable fits to the new elongation rate data. The expected spectrum of cosmogenic neutrinos can vary considerably, depending on the precise spectrum and chemical…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
