Reanalysis of the Higgs boson decay H -> gg up to alpha(6)(s)-order level using the principle of maximum conformality

Reanalysis of the Higgs boson decay H -> gg up to alpha(6)(s)-order level using the principle of maximum conformality
复制标题

使用最大共形原理重新分析希格斯玻色子衰变 H -> gg 直至 alpha(6)(s) 级水平

DOI:
10.1088/1361-6471/aace6f
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发表时间:
2018
期刊:
Journal of Physics G: Nuclear and Particle Physics
影响因子:
--
通讯作者:
Wang Sheng Quan
Wang Sheng Quan
中科院分区:
其他
文献类型:
--
作者:
Zeng Jun;Wu Xing Gang;Bu Shi;Shen Jian Ming;Wang Sheng Quan

文献摘要

被引文献

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利用新近得到的对Higgs衰变通道H_∞ →Higgs_gg的s6 a阶QCD修正,利用最大共形性原理(PMC)对衰变宽度Γ(H_∞→Higgs_gg)的微扰性质进行了详细讨论. PMC提供了一种消除常规重整化方案和尺度模糊性的方法,它使用重整化群方程通过递归的方式确定强耦合常数在各阶的最佳运行行为。尽管重整化标度的设置没有歧义,但由于高阶项未知,PMC预测存在残余标度依赖性。利用s6 a阶项,可以大大抑制我们以前工作中观察到的s5 a阶水平上的较大的剩余重整化标度依赖性,得到Hgg 337.9 1.7 1.9 PMC0.1 0.9 Gg = 10000-+()1000 KeV,其中第一个误差是由Higgs质量不确定度ΔMH = 0.24 GeV引起的,第二个是通过在M M2,4 H H []范围内改变初始尺度选择的残差尺度依赖性,第三个是未知高阶贡献的保守预测。
Using the newly available s 6 a-order QCD correction to the Higgs decay channel H→ gg, we carry out a detailed discussion on the perturbative properties of the decay width Γ (H→ gg) using the principle of maximum conformality (PMC). The PMC provides a way to eliminate the conventional renormalization scheme-and-scale ambiguities, which uses the renormalization group equation to determine the optimal running behavior of the strong coupling constant at each order via a recursive way. Even though there is no ambiguity for setting the renormalization scale, there is residual scale dependence for the PMC predictions due to unknown high-order terms. Using the s6 a-order terms, the somewhat larger residual renormalization scale dependence at the s 5 a-order level observed in our previous work can be greatly suppressed, which shows H gg 337.9 1.7 1.9 PMC 0.1 0.9 G=-+()∣ KeV, where the first error is caused by the Higgs mass uncertainty ΔMH= 0.24 GeV, the second one is the residual scale dependence by varying the initial choice of scale within the region of M M 2, 4 H H [], and the third one is the conservative prediction of unknown high-order contributions.