Global Fit of KamLAND Data and the Daya Bay Antineutrino Energy Spectrum
Guihong Huang

TL;DR
This study develops a global analysis framework combining KamLAND and Daya Bay data to assess reactor neutrino oscillation parameters, highlighting the impact of antineutrino spectrum deviations on experimental results.
Contribution
The paper introduces a weakly flux-dependent global analysis method that incorporates Daya Bay's measured spectra to refine neutrino oscillation parameter estimates.
Findings
Replacing the flux model with Daya Bay spectra slightly decreases Δm^2_{21}
Results align better with JUNO measurements
Spectrum deviations may cause experimental tensions
Abstract
Recently, the JUNO experiment published its measurement of the solar neutrino oscillation parameters and based on 59 days of data, with central values differing by from those released by the KamLAND experiment in 2013. Meanwhile, short-baseline reactor neutrino oscillation experiments such as Daya Bay, RENO, and Double Chooz have observed significant deviations between the measured antineutrino spectrum and the Huber-M\"{u}ller model prediction around 5~MeV. To further investigate the impact of these deviations on the measurement of reactor neutrino oscillation parameters, we construct a global analysis framework that is weakly dependent on the reactor antineutrino flux model. This framework is based on the independently measured and fission antineutrino spectra from the Daya Bay experiment,…
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