Sensitivity of Hyper-Kamiokande to sub-eV Sterile Neutrinos
Emilse Cabrera, Arman Esmaili, Hiroshi Nunokawa, Ana Maria Garcia Trzeciak
TL;DR
This work evaluates Hyper-Kamiokande's sensitivity to light sterile neutrinos in a (3+1) framework, focusing on Δm^2_{41} up to 1 eV^2 and using both accelerator and atmospheric data to constrain active-sterile mixing angles θ_{14} and θ_{24}. The analysis solves neutrino propagation with matter effects, parameterizes the 4×4 mixing matrix U, and employs χ^2 fits with detailed systematics (flux, shape, and cross sections) across beam and atmospheric channels, using tools such as GLoBES and PREM-based Earth modeling. Accelerator data provide Δm^2_{41}-independent constraints in some regimes via ν_{e} survival and ν_{μ}→ν_{e} appearance, while atmospheric data exploit MSW resonances in ν_{e} and ν_{μ} channels to probe sub-eV splittings, particularly around Δm^2_{41} ~ 10^{-4}–10^{-3} eV^2. The combined beam plus atmospheric analysis yields stronger bounds than existing results in the targeted region and demonstrates Hyper-K's potential to explore sub-eV sterile neutrinos with competitive reach to future dedicated experiments. These results advance the experimental landscape for sterile neutrino searches by leveraging Hyper-K's large volume, improved performance, and broad energy–baseline coverage.
Abstract
In this work, we investigate the sensitivity of Hyper-Kamiokande (Hyper-K) to light sterile neutrinos within the $(3+1)$ framework, consisting of three active and one sterile neutrino state. We focus on the regime where the new mass-squared splitting satisfies $Δm_{41}^{2} \lesssim 1$ eV$^{2}$, a parameter space complementary to short-baseline sterile-neutrino searches. Using both accelerator and atmospheric neutrino samples, we evaluate the expected capability of Hyper-K to constrain active-sterile mixing. Our results show that Hyper-K can significantly improve current bounds on sterile-neutrino parameters and achieve sensitivity that is competitive with that of future dedicated experiments.
