Low-energy atmospheric neutrino flux calculation with accelerator-data-driven tuning
Kazufumi Sato, Hiroaki Menjo, Yoshitaka Itow, Morihiro Honda

TL;DR
This paper introduces an accelerator-data-driven tuning method for atmospheric neutrino flux calculation, reducing uncertainties and improving accuracy over conventional methods, with implications for neutrino oscillation studies.
Contribution
It presents a novel approach to tune hadron interactions using accelerator data, enabling more precise flux uncertainty evaluation in atmospheric neutrino calculations.
Findings
Neutrino flux is 5-10% smaller with new tuning but consistent within uncertainties.
Flux uncertainty in <1 GeV region is 7-9%, improved over previous methods.
In 1-10 GeV range, flux uncertainty is 5-7%, showing enhanced precision.
Abstract
We have incorporated a hadron interaction tuning based on accelerator data into our atmospheric neutrino flux calculation, which has been used to analyze atmospheric neutrino oscillations at Super-Kamiokande. This new approach enables a more direct evaluation of the flux uncertainty than a conventional tuning using atmospheric muons. The neutrino flux calculated with this new tuning is 5\%--10\% smaller but still consistent with our previously published prediction within its uncertainty. The flavor ratio and ratios were consistent with the previous prediction. Based on the measurement errors of the accelerator data, we evaluated the flux uncertainty associated with the new tuning to be 7\%--9\% in the 1 GeV region, which was difficult to assess with the conventional tuning. The flux uncertainty in the…
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