AI 中文总结
该研究指出与模型无关的高阶希格斯自耦合贡献可显著偏移三、四线性自耦合的推断边界，将其纳入预测对可靠解释希格斯测量至关重要，还提供了实现该效应的公开工具。
AI 中文摘要
我们指出一类新的与模型无关的高阶贡献对已发现希格斯玻色子的三线性和四线性自耦合的重要性，这类贡献可能带来超出标准模型（SM）的显著物理效应。它由类标准模型图构成，其中插入了经圈修正的希格斯三线性和四线性自耦合值。尽管迄今为止，超出标准模型的特定物理模型中的预测仅计算到单圈水平，部分情况到两圈水平，但我们展示了如何将潜在较大的高阶贡献一致地纳入现有单圈或两圈预测中。这些与模型无关的高阶贡献因此改进了从特定模型获得的现有预测。将我们的预测与相关实验结果和理论约束相对比，我们同时确定了希格斯玻色子的三线性和四线性自耦合。我们表明，新的与模型无关的高阶贡献集合会在推断出的三线性和四线性希格斯自耦合的边界中引起显著偏移。例如，包含新的高阶修正可将理论预测中三线性自耦合修正因子的上限从实验限制的6.1偏移至约4.9。我们的结果表明，纳入这些高阶贡献对于可靠解释当前和未来的测量至关重要。我们还提供了一个公开工具，该工具可实现这些效应，并能与实验限制进行直接比较。
英文摘要
We point out the relevance of a new class of model-independent higher-order contributions to the trilinear and quartic self-couplings of the detected Higgs boson giving rise to potentially large effects of physics beyond the Standard Model (SM). It consists of SM-like diagrams with insertions of loop-corrected values for the trilinear and quartic Higgs self-couplings. While up to now predictions in specific models of physics beyond the SM were only evaluated up to the one-loop or, in some cases, up to the two-loop level, we demonstrate how potentially large higher-order contributions can consistently be incorporated into existing one-loop or two-loop predictions. These model-independent higher-order contributions therefore improve the existing predictions that were obtained in specific models. Confronting our predictions with the relevant experimental results and theoretical constraints, we perform a simultaneous determination of the trilinear and quartic Higgs-boson self-couplings. We show that the new set of model-independent higher-order contributions can induce sizeable shifts in the inferred bounds on the trilinear and quartic Higgs self-couplings. For example, including the new higher-order corrections can shift the upper bound on the trilinear self-coupling modifier entering the theoretical predictions to $\sim4.9$ from the experimental limit of $ 6.1$. Our results demonstrate that incorporating these higher-order contributions is essential for a reliable interpretation of present and future measurements. We further provide a public tool that implements these effects and enables direct comparison with experimental limits.
Comments17 pages, 8 figures, public code available at: https://gitlab.com/wrishik/check_kappas.git
