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区分B→K*μ+μ-中的短程与长程动力学

Disentangling short- vs. long-distance dynamics in $B\to K^{*}μ^+μ^-$

Marzia Bordone, Gino Isidori, Arianna Tinari

arXiv 2607.09458首次发表:更新:

AI 中文总结

该研究对B→K*μ+μ-的短程与长程动力学进行数据驱动分析,利用LHCb测量及全局振幅拟合,通过色散描述分析非局域贡献,得到短程系数C9,给出角可观测量预测,为非局域效应描述提供检验,更可靠提取短程信息。

AI 中文摘要

我们对B→K*μ+μ-中的短程与长程动力学进行了更新的数据驱动分析。该分析基于大型强子对撞机底夸克实验(LHCb)对这一过程完整角分布的最新测量,利用此前发表的全局振幅拟合。借助精确的双轻子不变质量分箱和对角吸收相直接敏感的角可观测量,当前数据为非局域贡献提供了新见解。我们使用色散描述分析后者,其自由参数通过振幅拟合确定。色散模型对当前数据提供了令人满意的整体描述,无需引入额外的特设强子参数。提取的短程系数C9的值低于其标准模型预测,但比未受数据约束长程贡献的分析更接近预测。与标准模型的整体张力不超过2σ水平。我们还获得了角可观测量S7、8、9的精确后验预测,并设想了它们之间的新一致性检验。鉴于未来更精确的数据,这些可为该过程中非局域效应描述提供有价值的检验,若进一步验证,将能更可靠地提取短程信息。

英文摘要

We present an updated data-driven analysis of short- vs. long-distance dynamics in $B\to K^{*}μ^+μ^-$. The analysis is based on the recent LHCb measurement of the full angular distribution of this process, taking advantage of the previously published global amplitude fit. Thanks to the precise di-lepton invariant-mass binning and angular observables directly sensitive to absorptive phases, current data provide novel insights into non-local contributions. We analyze the latter using a dispersive description, whose free parameters are determined via the amplitude fit. The dispersive model provides a satisfactory overall description of current data, without the need to introduce additional ad hoc hadronic parameters. The extracted value of the short-distance coefficient $C_9$ is lower than its Standard Model prediction, but significantly closer to it than in analyses where long-distance contributions are not constrained by data. The overall tension with the SM does not exceed the $2σ$ level. We also obtain precise postdictions for the angular observables $S_{7,8,9}$, and envisage novel consistency tests among them. In view of future, more precise data, these could provide valuable tests of the description of non-local effects in this process that, if further validated, would enable an even more robust extraction of short-distance information.

Comments25 pages, 5 figures, 4 tables

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