# A unified analysis of the reactor neutrino program towards the   measurement of the theta_13 mixing angle

**Authors:** Guillaume Mention (DAPNIA), Thierry Lasserre (DAPNIA, APC), Dario, Motta (DAPNIA)

arXiv: 0704.0498 · 2012-03-01

## TL;DR

This paper provides a comprehensive quantitative analysis of current reactor neutrino experiments aiming to measure the theta_13 mixing angle, assessing their sensitivities and systematic uncertainties.

## Contribution

It offers a unified framework for analyzing the experiments' sensitivities, systematically evaluating the impact of backgrounds and systematics using published data and extrapolation.

## Key findings

- Daya Bay shows the highest sensitivity among the experiments.
- Systematic errors significantly influence the measurement precision.
- The analysis highlights the strengths and weaknesses of each experimental setup.

## Abstract

We present in this article a detailed quantitative discussion of the measurement of the leptonic mixing angle theta_13 through currently scheduled reactor neutrino oscillation experiments. We thus focus on Double Chooz (Phase I & II), Daya Bay (Phase I & II) and RENO experiments. We perform a unified analysis, including systematics, backgrounds and accurate experimental setup in each case. Each identified systematic error and background impact has been assessed on experimental setups following published data when available and extrapolating from Double Chooz acquired knowledge otherwise. After reviewing the experiments, we present a new analysis of their sensitivities to sin^2(2 theta_13) and study the impact of the different systematics based on the pulls approach. Through this generic statistical analysis we discuss the advantages and drawbacks of each experimental setup.

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/0704.0498/full.md

## References

36 references — full list in the complete paper: https://tomesphere.com/paper/0704.0498/full.md

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Source: https://tomesphere.com/paper/0704.0498