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在质子-质子碰撞中$\u221as$ = 13 TeV下通过单和双希格斯玻色子产生组合对希格斯玻色子自耦合的约束

Constraints on the Higgs boson self-coupling from the combination of single and double Higgs boson production in proton-proton collisions at $\sqrt{s}$ = 13 TeV

CMS Collaboration

备注：
Replaced with the published version. Added the journal reference and the DOI. All the figures and tables, including an additional supplementary table, can be found at http://cms-results.web.cern.ch/cms-results/public-results/publications/HIG-23-006 (CMS Public Pages)
发表信息：
Phys. Lett. B 861 (2025) 139210
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AI总结：

基于CMS实验13 TeV数据，通过组合单和双希格斯玻色子产生事件，测量希格斯自耦合参数$κ_λ$，在2σ置信水平下排除$-$1.2至7.5以外的值，并放宽耦合假设后得到更宽区间。

摘要：

希格斯玻色子（H）三线性自耦合$λ_3$通过其测量性质以及利用CMS实验在$\u221as$ = 13 TeV下收集的质子-质子碰撞数据对HH对产生的限制来约束。使用富集了单H和HH事件的事件类别组合来测量$κ_λ$，其定义为$λ_3$相对于其标准模型预测值的归一化值，同时约束希格斯玻色子与费米子和矢量玻色子的耦合。在2$σ$置信水平下，$κ_λ$值超出区间$-$1.2 $<$ $κ_λ$ $<$ 7.5被排除，这与在假设所有其他希格斯玻色子耦合等于其标准模型预测值时的预期范围$-$2.0 $<$ $κ_λ$ $<$ 7.7相符。放宽对希格斯玻色子与费米子和矢量玻色子耦合的假设后，在2$σ$置信水平下，观测（预期）的$κ_λ$区间被限制在$-$1.4 $<$ $κ_λ$ $<$ 7.8（$-$2.3 $<$ $κ_λ$ $<$ 7.8）之内。

英文摘要：

The Higgs boson (H) trilinear self-coupling, $λ_3$, is constrained via its measured properties and limits on the HH pair production using the proton-proton collision data collected by the CMS experiment at $\sqrt{s}$ = 13 TeV. The combination of event categories enriched in single-H and HH events is used to measure $κ_λ$, defined as the value of $λ_3$ normalized to its standard model prediction, while simultaneously constraining the Higgs boson couplings to fermions and vector bosons. Values of $κ_λ$ outside the interval $-$1.2 $\lt$ $κ_λ$ $\lt$ 7.5 are excluded at 2$σ$ confidence level, which is compatible with the expected range of $-$2.0 $\lt$ $κ_λ$ $\lt$ 7.7 under the assumption that all other Higgs boson couplings are equal to their standard model predicted values. Relaxing the assumption on the Higgs couplings to fermions and vector bosons the observed (expected) $κ_λ$ interval is constrained to be within $-$1.4 $\lt$ $κ_λ$ $\lt$ 7.8 ($-$2.3 $\lt$ $κ_λ$ $\lt$ 7.8) at 2$σ$ confidence level.

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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