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arXiv 2411.02485hep-phhep-ex
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通过FCC-ee上的味标记探索新物理

New Physics Through Flavor Tagging at FCC-ee

University of Basel(巴塞尔大学)

Admir Greljo, Hector Tiblom, Alessandro Valenti

AI总结:

本文利用机器学习味标记技术,在FCC-ee上测量$R_b$、$R_c$、$R_s$等观测量,精度提升两个数量级,并预测对SMEFT四费米子相互作用的灵敏度,显著改进现有界限,同时探索$B$介子异常并设计味破坏搜索策略。

摘要:

利用基于机器学习的味标记技术的最新进展,我们开发了一种最优分析方法,用于在FCC-ee的$WW$、$Zh$和$t\bar{t}$运行期间测量强子截面比$R_b$、$R_c$和$R_s$。我们的结果表明,精度可提升多达两个数量级,从而对标准模型提供前所未有的检验。利用这些观测量,连同$R_\ell$和$R_t$,我们预测了对SMEFT内味非普适四费米子(4F)相互作用的灵敏度,这些相互作用在树级和通过重整化群(RG)效应均有贡献。我们强调了与FCC-ee的$Z$极点处RG诱导效应之间微妙的互补性。我们的分析表明,在探测涉及重夸克味和所有轻子味的味守恒4F算符方面,相较于当前LEP-II和LHC的界限有显著改进。作为应用,我们探索了解决当前$B$介子异常的简化模型,证明FCC-ee能够有效探测相关参数空间。最后,我们设计了针对夸克味破坏4F相互作用的优化搜索策略。

英文摘要:

Leveraging recent advancements in machine learning-based flavor tagging, we develop an optimal analysis for measuring the hadronic cross-section ratios $R_b$, $R_c$, and $R_s$ at the FCC-ee during its $WW$, $Zh$, and $t\bar{t}$ runs. Our results indicate up to a two-order-of-magnitude improvement in precision, providing an unprecedented test of the SM. Using these observables, along with $R_\ell$ and $R_t$, we project sensitivity to flavor non-universal four-fermion (4F) interactions within the SMEFT, contributing both at the tree level and through the renormalization group (RG). We highlight a subtle complementarity with RG-induced effects at the FCC-ee's $Z$-pole. Our analysis demonstrates significant improvements over the current LEP-II and LHC bounds in probing flavor-conserving 4F operators involving heavy quark flavors and all lepton flavors. As an application, we explore simplified models addressing current $B$-meson anomalies, demonstrating that FCC-ee can effectively probe the relevant parameter space. Finally, we design optimized search strategies for quark flavor-violating 4F interactions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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