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arXiv 2407.00545hep-ph
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由顶夸克数据驱动的NNLO部分子分布函数

NNLO PDFs driven by top-quark data

S. Alekhin, M. V. Garzelli, S. -O. Moch, O. Zenaiev

AI总结:

本文利用LHC最新顶夸克数据在NNLO精度下同时拟合质子PDFs、强耦合常数和顶夸克质量,得到ABMPtt拟合结果,显著减小了胶子PDF和顶夸克质量的不确定度。

摘要:

我们研究了大型强子对撞机上收集的最新顶夸克数据对部分子分布函数(PDFs)的影响。按照ABMP方法,该拟合在QCD次次领先阶(NNLO)精度下同时提取质子PDFs、强耦合常数$α_s(M_Z)$和重夸克质量。它纳入了近期高统计量的$t\bar{t}+X$绝对总包容截面数据、$(t + X)$与$(\bar{t} + X)$强子产生截面之和的数据,以及在$\sqrt{S}=13$ TeV下对$t\bar{t}$对不变质量和快度双重微分的归一化包容数据。由这些数据导出的大$x$区域胶子PDF和顶夸克质量值与先前的ABMP16结果良好兼容,但不确定度显著减小,最多降低至原来的一半。在QCD NNLO精度下,我们得到强耦合常数值$α_s^{(n_f=5)}(M_Z)= 0.1150 \pm 0.0009$,${\overline{\mbox{MS}}}$方案下的顶夸克质量$m_t(m_t) = 160.6 \pm 0.6$ GeV,对应于在壳方案中的$m_t^{\rm pole} = 170.2 \pm 0.7$ GeV。新的拟合结果命名为ABMPtt,已以LHAPDF格式的网格形式公开发布。

英文摘要:

We study the impact of state-of-the-art top-quark data collected at the Large Hadron Collider on parton distribution functions (PDFs). Following the ABMP methodology, the fit extracts simultaneously proton PDFs, the strong coupling $α_s(M_Z)$ and heavy-quark masses at next-to-next-to-leading order (NNLO) accuracy in QCD. It includes recent high-statistics data on absolute total inclusive cross sections for $t\bar{t}+X$, the sum of $(t + X)$ and $(\bar{t} + X)$ hadroproduction, and normalized inclusive data double-differential in the invariant mass and rapidity of the $t\bar{t}$ pair at $\sqrt{S}=13$ TeV. The gluon PDF at large $x$ and the top-quark mass value derived from these data are well compatible with the previous ABMP16 results, but with significantly smaller uncertainties, reduced by up to a factor of two. At NNLO in QCD we obtain for the strong coupling the value $α_s^{(n_f=5)}(M_Z)= 0.1150 \pm 0.0009$ and for the top-quark mass in the ${\overline{\mbox{MS}}}$-scheme $m_t(m_t) = 160.6 \pm 0.6$ GeV, corresponding to $m_t^{\rm pole} = 170.2 \pm 0.7$ GeV in the on-shell scheme. The new fit, dubbed ABMPtt, is publicly released in grids in LHAPDF format.

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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