量化JUNO中微子振荡参数的信息层级
Quantifying Information Hierarchy for Neutrino Oscillation Parameters at JUNO
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中文总结 AI 辅助
本文利用量子与经典Fisher信息量化JUNO中微子振荡参数的信息层级，发现太阳扇区参数接近最优统计极限，而θ₁₃和Δm₃₁²信息受测量策略和探测器效应退化，但六年内仍可实现Δm₃₁²亚百分比精度。
中文摘要 AI 辅助
由于中微子本质上是量子系统，振荡参数可估计的精度最终取决于这些参数在中微子态中编码的信息量以及通过测量提取该信息的效率。在本工作中，我们利用量子与经典Fisher信息量化了反应堆反中微子态中编码的信息如何通过测量过程流向探测器观测到的事件。我们建立了JUNO的信息阶梯，揭示不同信息层级上的精度损失强烈依赖于参数。我们证明JUNO配置接近太阳扇区振荡参数的最优统计极限，而θ₁₃和Δm₃₁²的信息则因测量策略和探测器效应而显著退化。尽管存在这种信息损失，剩余信息足以使JUNO在六年内实现Δm₃₁²亚百分比精度。
英文摘要
Since neutrinos are quantum systems inherently, the precision with which oscillation parameters can be estimated ultimately depends on how much information about these parameters is encoded in the neutrino state and how efficiently that information can be extracted through measurement. In this work, we quantify how information encoded in reactor antineutrino states flows through the measurement process to the events observed at the detector, using quantum and classical Fisher information. We establish the information ladder for JUNO, revealing that the loss of precision across different information levels is strongly parameter dependent. We demonstrate that the JUNO configuration approaches the optimal statistical limit for the oscillation parameters of the solar sector, while information on $θ_{13}$ and $Δm_{31}^{2}$ is significantly degraded by the measurement strategy and detector effects. Despite this information loss, the remaining information is sufficient for JUNO to achieve sub-percent precision on $Δm_{31}^{2}$ within six years.
发表机构
- Institute of High Energy Physics, Chinese Academy of Sciences（中国科学院高能物理研究所）
- University of Chinese Academy of Sciences（中国科学院大学）
- Kaiping Neutrino Research Center（开平中微子研究中心）
机构由 AI 辅助整理，请以论文原文为准。
