Data-driven muon-calibrated neutrino flux - INSPIRE

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Data-driven muon-calibrated neutrino flux

Juan Pablo Yañez
(
- Alberta U.
)
,
Anatoli Fedynitch
(
- Taiwan, Inst. Phys. and
- Tokyo U., ICRR
)

Feb 28, 2023

21 pages

Published in:

Phys.Rev.D 107 (2023) 12, 123037

Published: Jun 15, 2023

e-Print:

2303.00022 [hep-ph]

DOI:

10.1103/PhysRevD.107.123037 (publication)

View in:

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Abstract: (APS)

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.

Note:

21 pages, 23 figures

neutrino: flux
neutrino: atmosphere
GeV
muon
programming
covariance
TeV
numerical calculations

References(77)

Figures(29)

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