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Published in

arXiv, 2023

DOI: 10.48550/arxiv.2304.12236

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Measurement of Atmospheric Neutrino Mixing with Improved IceCube DeepCore Calibration and Data Processing

Journal article published in 2023 by IceCube Collaboration, Julia Becker Tjus ORCID, A. Balagopal V., R. Abbasi, M. Ackermann, J. Adams, Sk K. Agarwalla, Ja A. Aguilar, M. Ahlers, Jm M. Alameddine, Nm M. Amin, K. Andeen, C. Argüelles, G. Anton, Y. Ashida and other authors.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

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Abstract

We describe a new data sample of IceCube DeepCore and report on the latest measurement of atmospheric neutrino oscillations obtained with data recorded between 2011-2019. The sample includes significant improvements in data calibration, detector simulation, and data processing, and the analysis benefits from a detailed treatment of systematic uncertainties, with significantly higher level of detail since our last study. By measuring the relative fluxes of neutrino flavors as a function of their reconstructed energies and arrival directions we constrain the atmospheric neutrino mixing parameters to be $\sin^2θ_{23} = 0.51± 0.05$ and $Δm^2_{32} = 2.41±0.07\times 10^{-3}\mathrm{eV}^2$, assuming a normal mass ordering. The resulting 40\% reduction in the error of both parameters with respect to our previous result makes this the most precise measurement of oscillation parameters using atmospheric neutrinos. Our results are also compatible and complementary to those obtained using neutrino beams from accelerators, which are obtained at lower neutrino energies and are subject to different sources of uncertainties.