Confidence regions for neutrino oscillation parameters from double-Chooz data
B. Vargas Perez, J. Garc\'ia-Ravelo, Dionisio Tun, Jorge Garcia Bello, and Jes\'us Escamilla Roa

TL;DR
This paper performs a detailed statistical analysis of double-Chooz data to determine neutrino oscillation parameters, addressing spectral features and the impact of near detector data, resulting in improved parameter estimates.
Contribution
It introduces an independent analysis of double-Chooz data, correcting previous out-of-order minima and exploring effects of spectral bumps and near detector data on oscillation parameter estimation.
Findings
Best fit values: sin^2(2θ13)=0.084 and Δm^2_31≈2.44×10^{-3} eV^2
Near detector data can independently determine both parameters
Spectral bump variations influence Δm^2_31 estimates
Abstract
In this work, an independent and detailed statistical analysis of the double-Chooz experiment is performed. To have a thorough understanding of the implications of the double-Chooz data on both oscillation parameters and , we decided to analyze the data corresponding to the Far detector, with no additional restriction. By doing this, confidence regions and best fit values are obtained for (). This analysis yields an out-of-order minimum, which has already been mentioned in previous works, and it is corrected with the inclusion of additional restrictions. With such restrictions it is obtained that and eV/c. Our analysis allows us to study the effects of the so called…
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