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arXiv 2602.09354hep-ex
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利用整体方法测量未来对撞机中希格斯玻色子的强子衰变分支比

Hadronic decay branching ratio measurements of the Higgs boson at future colliders using the Holistic Approach

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 (UCAS)(中国科学院大学)

Jianfeng Jiang, Yongfeng Zhu, Chao Yang, Manqi Ruan

AI总结:

利用整体方法提高希格斯玻色子强子衰变分支比测量精度

摘要:

准确测量希格斯玻色子的性质是高能物理前沿的主要目标之一。通过将所有重建粒子的包容信息结合起来以识别信号事件,即所谓的整体方法,我们估计了在圆形电子-正电子对撞机(CEPC)作为希格斯工厂运行时,21.6 ab⁻¹总亮度下希格斯强子衰变模式H→b\ar{b}、c\ar{c}、gg、WW*→4q和ZZ*→4q的相对统计不确定性。在Z(μ⁺μ⁻)H和Z(ν\arν)H通道中,这些衰变模式的相对统计不确定性被预测为0.36%到5.21%和0.16%到2.52%。与CEPC Snowmass结果相比,整体方法将测量精度提高了两到四倍。scaling行为,特别是预期精度对训练数据集大小的依赖性被观察和分析。这些主要的希格斯衰变模式的精度,特别是H→b\ar{b}模式,接近统计极限。scaling行为也可以用于监控整体方法的鲁棒性,并量化其不确定性。

英文摘要:

Accurately measuring the properties of the Higgs boson is one of the primary physics objectives of the high-energy frontier. By incorporating the inclusive information of all reconstructed particles to identify the signal events, referred to as the holistic approach, we estimate the relative statistical uncertainty for the Higgs hadronic decay modes $H \to b\bar{b}$, $c\bar{c}$, $gg$, $WW^{*} \to 4q$, and $ZZ^{*} \to 4q$ at the Circular Electron--Positron Collider (CEPC) operating as a Higgs factory with an integrated luminosity of 21.6~ab$^{-1}$. In the $Z(μ^{+}μ^{-})H$ and $Z(ν\barν)H$ channels, the relative statistical uncertainties for these decay modes are projected to range from 0.36\% to 5.21\% and 0.16\% to 2.52\%, respectively. Compared to the CEPC Snowmass results, the holistic approach boosts the measurement precision by a factor of two to four. The scaling behavior, specifically the dependence of the anticipated accuracy on the training dataset size, is observed and analyzed. The precision of these leading Higgs decay modes, especially the $H \to b\bar{b}$ mode, is asymptotically approaching the statistical limit. The scaling behavior could also be applied to monitor the robustness and to quantify the uncertainties of the holistic approach.

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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