Chasing the Neutrino Blazar Candidates. II. SED Modeling with a Hadronic Model

Read full text
Authors: Hubing Xiao, Zhihao Ouyang, Lili Yang, Jingtian Zhu, Minfeng Gu, Liang Chen, Shaohua Zhang, Zhijian Luo, J. H. Fan
Cited by: 1
References: 72

Abstract

Abstract Blazars are promising candidates for high-energy neutrino sources, yet the physical origin of their neutrino emission remains uncertain. In this work, we extend our previous study by modeling the broadband spectral energy distributions (SEDs) of 103 neutrino blazar candidates (NBCs) within a hadronic framework. To estimate the maximum possible neutrino output, we adopt the assumption that the high-energy emission is dominated by pγ interactions and the contribution from leptonic inverse Compton scattering is strongly suppressed. From the SED modeling, we constrain nine key parameters describing the emission region and particle energy distributions. We perform a partial-correlation analysis to investigate the relationship between neutrino luminosity and electromagnetic emission and find a weak-to-moderate correlation between the optical R band and neutrino emission. Our model predicts prominent proton synchrotron emission peaking in the MeV band for most sources, with 99 out of 103 NBCs exhibiting proton synchrotron peaks within 0.1–100 MeV, highlighting the MeV band as a key window for distinguishing between leptonic and hadronic scenarios. Based on the model-predicted maximum neutrino fluxes, we find that three NBCs are potentially detectable by IceCube, while up to 22, 45, and 62 sources may be detectable by KM3NeT, NEON, and TRIDENT, respectively. These results provide testable predictions for future multimessenger observations and offer new insights into the composition and radiation mechanisms of blazar jets.

Fields of Study & Subjects

Astrophysics and Cosmic Phenomena Neutrino Physics Research Insects and Parasite Interactions

Publication details

Journal / source
The Astrophysical Journal
Publisher
American Astronomical Society
Volume
1005
Issue
1
Pages
30–30
Publication date
22 June 2026
Language
EN