极化测量的最优可观测量

中文摘要 AI 辅助

矢量玻色子极化提供了电弱相互作用领域中新物理的灵敏探针。稀有过程和被抑制的纵向贡献使得最优极化分离对于充分利用现有数据至关重要。我们证明，部分子层面的微分极化分数定义了最优可观测量，以及极化截面测量的基本灵敏度极限。它们的条件期望保留了所有实验可获取的极化信息，在假定模型内达到最佳可实现灵敏度，并且可以通过神经网络学习用于无分箱或分箱推断。测量它们的分布将极化灵敏度与固定截面的模型无关性相结合，探测超出极化贡献恒定重标度之外的偏差。我们在包含性ZZ产生中演示了该方法。

英文摘要

Vector-boson polarization provides a sensitive probe of new physics in the electroweak sector. Rare processes and suppressed longitudinal contributions make optimal polarization separation essential to exploit the available data. We show that parton-level differential polarization fractions define optimal observables and a fundamental sensitivity limit for polarized cross-section measurements. Their conditional expectations retain all experimentally accessible polarization information, yielding the best achievable sensitivity within the assumed model, and can be learned by neural networks for unbinned or binned inference. Measuring their distributions combines polarization sensitivity with the model independence of fiducial cross sections, probing deviations beyond constant rescalings of polarized contributions. We demonstrate the approach in inclusive ZZ production.

发表机构

• Institute of Nuclear and Particle Physics, Technische Universität Dresden（德累斯顿工业大学核与粒子物理研究所）

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