https://doi.org/10.1140/epjc/s10052-025-15207-5
Regular Article - Theoretical Physics
Searching for pseudo-dirac neutrinos from astrophysical sources in IceCube data
1
Centre for Astro-Particle Physics (CAPP) and Department of Physics, University of Johannesburg, PO Box 524, Auckland Park, 2006, South Africa
2
Instituto de Física de São Carlos, Universidade de São Paulo (USP), Av. Trabalhador São Carlense 400, São Carlos, São Paulo, Brazil
3
Department of Physics, The George Washington University, 20052, Washington, DC, USA
4
National Institute for Theoretical and Computational Sciences (NITheCS), Private Bag X1, Matieland, South Africa
a
This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
20
January
2025
Accepted:
14
December
2025
Published online:
30
December
2025
Abstract
We analyze IceCube public data from its IC86 configuration, namely PSTracks event selection, to search for pseudo-Dirac signatures in high-energy neutrinos from astrophysical sources. Neutrino flux from astrophysical sources is reduced in the pseudo-Dirac scenario due to the conversion of active-to-sterile neutrinos as compared to the neutrino oscillation scenario of only three active neutrinos over astrophysical distances. We fit IceCube data using astrophysical flux models for four point-like sources in both scenarios and constrain the active-sterile mass-square-difference in the absence of any evidence for the pseudo-Dirac scenario. We present the exclusion regions for the common mass-squared difference
, inducing active-sterile oscillations, for all three neutrino flavors. This includes results from individual sources as well as from a stacking analysis that combines data from the four sources. Our findings indicate that the exclusion region is
eV
with
confidence level (CL) significance for neutrino energies ranging from 0.5 TeV to 1 PeV. When we extend the energy range down to 0.1 TeV, the exclusion region broadens to
eV
at
CL.
© The Author(s) 2025
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Funded by SCOAP3.

