论文标题
反应器速率调制振荡分析与双回合中的两个检测器
Reactor Rate Modulation oscillation analysis with two detectors in Double Chooz
论文作者
论文摘要
提出了基于观察到的抗肿瘤速率的$θ_{13}。这种方法提供了$θ_{13} $的唯一同时确定,而总背景速率也不依赖于对特定背景贡献的任何假设。该分析包括在两个检测器中收集的865天数据,至少有一个反应器。通过使用24.06天(12.74天)在远处(近)检测器中使用24.06天(12.74天)的反应器数据,振荡结果得到了增强。分析认为,考虑快速中性相互作用和$^{9} $ li衰减,使用更高能量的事件来构建宇宙背景模型,将\ nue的相互作用达到8.5 meV的可见能量。混合角的背景模型独立的测定产生sin $^2(2θ_{13})= 0.094 \ pm0.017 $,是与宇宙背景模型完全一致的最佳拟合总背景速率。还进行了第二次振荡分析,将总背景速率限制在宇宙背景估计中。尽管由于反应器数据和背景估计之间的一致性,但中心值未得到显着修改,但背景模型的添加将$θ_{13} $的不确定性降低到0.015。除了振荡结果外,抗中性频率的归一化以0.86 \%的精度测量,从而降低了与期望相关的1.43 \%不确定性。
A $θ_{13}$ oscillation analysis based on the observed antineutrino rates at the Double Chooz far and near detectors for different reactor power conditions is presented. This approach provides a so far unique simultaneous determination of $θ_{13}$ and the total background rates without relying on any assumptions on the specific background contributions. The analysis comprises 865 days of data collected in both detectors with at least one reactor in operation. The oscillation results are enhanced by the use of 24.06 days (12.74 days) of reactor-off data in the far (near) detector. The analysis considers the \nue interactions up to a visible energy of 8.5 MeV, using the events at higher energies to build a cosmogenic background model considering fast-neutrons interactions and $^{9}$Li decays. The background-model-independent determination of the mixing angle yields sin$^2(2θ_{13})=0.094\pm0.017$, being the best-fit total background rates fully consistent with the cosmogenic background model. A second oscillation analysis is also performed constraining the total background rates to the cosmogenic background estimates. While the central value is not significantly modified due to the consistency between the reactor-off data and the background estimates, the addition of the background model reduces the uncertainty on $θ_{13}$ to 0.015. Along with the oscillation results, the normalization of the anti-neutrino rate is measured with a precision of 0.86\%, reducing the 1.43\% uncertainty associated to the expectation.