Precision Measurement of Neutrino Oscillation Parameters with 10 Years of Data from the NOvA Experiment

This Letter reports measurements of muon-neutrino disappearance and electron-neutrino appearance and the corresponding antineutrino processes between the two NOvA detectors in the NuMI neutrino beam. These measurements use a dataset with double the neutrino mode beam exposure that was previously analyzed, along with improved simulation and analysis techniques. A joint fit to these samples in the three-flavor paradigm results in the most precise single-experiment constraint on the atmospheric neutrino mass splitting, Δm_{32}^{2}=2.431_{-0.034}^{+0.036}(-2.479_{-0.036}^{+0.036})×10^{-3} eV^{2} if the mass ordering is normal (inverted). In both orderings, a region close to maximal mixing with sin^{2}θ_{23}=0.55_{-0.06}^{+0.02} is preferred. The NOvA data show a mild preference for the normal mass ordering with a Bayes factor of 2.4 (corresponding to 70% of the posterior probability), indicating that the normal ordering is 2.4 times more probable than the inverted ordering. When incorporating a 2D Δm_{32}^{2}-sin^{2}2θ_{13} constraint based on Daya Bay data, this preference strengthens to a Bayes factor of 6.6 (87%).

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Publication Details

Journal
Physical Review Letters
Published
2025-11-26
DOI
https://doi.org/10.1103/x53y-2b86
Primary Topic
Neutrino Physics Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Precision Measurement of Neutrino Oscillation Parameters with 10 Years of Data from the NOvA Experiment

Karl J. Friston
Physical Review Letters
Neutrino Physics Research
article

Precision Measurement of Neutrino Oscillation Parameters with 10 Years of Data from the NOvA Experiment

Karl J. Friston
article en

Abstract

This Letter reports measurements of muon-neutrino disappearance and electron-neutrino appearance and the corresponding antineutrino processes between the two NOvA detectors in the NuMI neutrino beam. These measurements use a dataset with double the neutrino mode beam exposure that was previously analyzed, along with improved simulation and analysis techniques. A joint fit to these samples in the three-flavor paradigm results in the most precise single-experiment constraint on the atmospheric neutrino mass splitting, Δm_{32}^{2}=2.431_{-0.034}^{+0.036}(-2.479_{-0.036}^{+0.036})×10^{-3} eV^{2} if the mass ordering is normal (inverted). In both orderings, a region close to maximal mixing with sin^{2}θ_{23}=0.55_{-0.06}^{+0.02} is preferred. The NOvA data show a mild preference for the normal mass ordering with a Bayes factor of 2.4 (corresponding to 70% of the posterior probability), indicating that the normal ordering is 2.4 times more probable than the inverted ordering. When incorporating a 2D Δm_{32}^{2}-sin^{2}2θ_{13} constraint based on Daya Bay data, this preference strengthens to a Bayes factor of 6.6 (87%).

Physical Review LettersVol. 136(1)
Florida State University (US), University of Delhi (IN), Tufts University (US), California Institute of Technology (US), University of Iowa (US), Argonne National Laboratory (US), University of Minnesota (US), Fermi National Accelerator Laboratory (US), Indian Institute of Technology Guwahati (IN), University of Wisconsin–Madison (US), University of South Carolina (US), University of Sussex (GB), William & Mary (US), National Institute of Science Education and Research (IN), Queen Mary University of London (GB), University of Pittsburgh (US), Iowa State University (US), Southern Methodist University (US), Illinois Institute of Technology (US), Czech Academy of Sciences (CZ), University of California, Irvine (US), Cochin University of Science and Technology (IN), Charles University (CZ), University of Magdalena (CO), Harvard University Press (US), Bandırma Onyedi Eylül University (TR), Joint Institute for Nuclear Research (RU), University of Mississippi (US), University of Hyderabad (IN), Wichita State University (US), Twin Cities Orthopedics (US), Institute for Nuclear Research (RU), Universidad del Atlántico (MX), University of Minnesota, Duluth (US), University of Houston (US), Czech Technical University in Prague (CZ), University College London (GB), Panjab University (IN), University of Virginia (US), The Ohio State University (US), Indiana University (US), University of Cincinnati (US), Indian Institute of Technology Hyderabad (IN), Universidade Federal de Goiás (BR), Syracuse University (US), University of South Alabama (US), The University of Texas at Austin (US), Michigan State University (US), Erciyes University (TR), Banaras Hindu University (IN), Colorado State University (US)
National Science Foundation, U.S. Department of Energy, University of Minnesota, Grantová Agentura, Univerzita Karlova, UK Research and Innovation, National Energy Research Scientific Computing Center, Russian Foundation for Basic Research, Conselho Nacional de Desenvolvimento Científico e Tecnológico, China Scholarship Council, Fundação de Amparo à Pesquisa do Estado de Goiás, Office of Science, Science and Technology Facilities Council, Fermilab
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