Reduction of the Uncertainty in the Atmospheric Neutrino Flux Prediction Below 1 GeV Using Accurately Measured Atmospheric Muon Flux
M. Honda, M. Sajjad Athar, T. Kajita, K. Kasahara, and S. Midorikawa

TL;DR
This paper proposes a method to reduce uncertainties in atmospheric neutrino flux predictions below 1 GeV by using precise measurements of atmospheric muon flux, accounting for variations in hadronic interactions and observation site differences.
Contribution
It introduces a quantitative estimation method linking muon flux measurements to neutrino flux uncertainty, considering site-dependent effects and hadronic interaction variations.
Findings
The method's effectiveness varies with observation site.
Muon flux measurements can significantly reduce neutrino flux uncertainty.
Site altitude impacts the error reduction efficiency.
Abstract
We examine the uncertainty of the calculation of the atmospheric neutrino flux and present a way to reduce it using accurately measured atmospheric muon flux. Considering the difference of the hadronic interaction model and the real one as a variation of hadronic interaction, we find a quantitative estimation method for the error of the atmospheric neutrino flux calculation from the residual of the reconstruction of the atmospheric muon flux observed in a precision experiment, by the study of atmospheric neutrino and muon fluxes response to the variation of hadronic interaction. However, the efficiencty of this method is largely dependent on the observation site of the atmospheric muon flux, as the relation of the error of the atmospheric neutrino flux calculation and the residual of the reconstruction of the atmospheric muon flux is also largely dependent on the muon observation site,…
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.
