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arXiv 2609.13366hep-phhep-ex

味通量关联函数、前后不对称性与反常

Flavor Flux Correlators, Forward-Backward Asymmetries, and Anomalies

Kyle Lee, Ian Moult

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中文总结 AI 辅助

本文提出味通量关联函数,利用重味量子数的能隙特性实现干净的微扰可观测量,并揭示重夸克前后不对称性与电弱反常的联系,为高精度检验标准模型提供新探针。

中文摘要 AI 辅助

味在标准模型的结构中扮演着至关重要的角色。因此,许多重要的对撞机物理测量都利用了所探测强子的味信息。能量关联函数研究的最新进展使得对撞机上能量通量的测量能够被重新表述为算符陈述。在本快报中,我们引入了味通量关联函数,它测量味量子数的角分布和关联。我们强调了重味通量关联函数与其他荷的关联函数相比的一个独特特征,即$b$和$c$味量子数在重夸克质量标度处存在能隙,这使得它们成为特别干净的微扰可观测量,其非微扰幂次修正被$\mathcal{O}(\Lambda_{\text{QCD}}/m_Q)$所压低。作为一个应用,我们将重夸克前后不对称性重新表述为重夸克味流混合电弱反常的宏观结果。利用与反常的联系,我们在次次次领头阶解析计算了味通量关联函数,并通过部分子簇射模拟验证了非微扰修正被压低,正如重味量子数的能隙性质所预期的那样。味通量关联函数可以利用档案中的正负电子对撞数据以及Belle II和未来对撞机进行测量。

英文摘要

Flavor plays a crucial role in the structure of the Standard Model. As such, many important collider physics measurements incorporate the flavor information of detected hadrons. Recent progress in the study of energy correlators has enabled collider physics measurements of energy flux to be reformulated as operator statements. In this Letter, we introduce flavor flux correlators, which measure the angular distribution and correlations of flavor quantum numbers. We emphasize a unique feature of heavy flavor flux correlators as compared to correlators of other charges, namely the $b$ and $c$ flavor quantum numbers are gapped at the heavy quark mass scale, making them a particularly clean perturbative observables, with $\mathcal{O}(Λ_{\text{QCD}}/m_Q)$ suppressed non-perturbative power corrections. As an application, we reformulate the heavy quark forward-backward asymmetry as a macroscopic consequence of a mixed electroweak anomaly of the heavy-quark flavor current. Using the relation to the anomaly, we compute the flavor flux correlator analytically at next-to-next-to-next-to-leading order and verify using parton shower simulations that non-perturbative corrections are suppressed, as expected from the gapped nature of the heavy flavor quantum numbers. Flavor flux correlators can be measured using archival electron-positron collision data, as well as at Belle II and future colliders.

发表机构

  • Argonne National Laboratory(阿贡国家实验室)
  • Yale University(耶鲁大学)

机构由 AI 辅助整理,请以论文原文为准。

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