arXiv · 2303.00022
DAEMONFLUX: DAta-drivEn MuOn-calibrated atmospheric Neutrino Flux
Abstract
In this paper, we present a refined calculation of the atmospheric neutrino flux spanning from GeV to PeV energies. Our method, Daemonflux, utilizes data-driven inputs and incorporates adjustable parameters to take their uncertainties into account. By optimizing these parameters using a combination of muon data and constraints from fixed-target experiments, we achieve uncertainties in the calculated neutrino fluxes of less than 10% up to 1 TeV, with neutrino ratios constrained to below 10%. Our model performs particularly well at energies below 100 GeV, where the smallest errors are obtained. We make our model available as a software package that provides access to predictions of fluxes, ratios, and errors, including the covariance matrix obtained from the fit.
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Juan Pablo Yañez, Anatoli Fedynitch. 2023-02-28. DAEMONFLUX: DAta-drivEn MuOn-calibrated atmospheric Neutrino Flux. https://doi.org/10.1103/physrevd.107.123037
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