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MMHT2014全局概率密度函数分析中关于[公式:见正文]的不确定性及其对标准模型预测的影响。

Uncertainties on [Formula: see text] in the MMHT2014 global PDF analysis and implications for SM predictions.

作者信息

Harland-Lang L A, Martin A D, Motylinski P, Thorne R S

机构信息

Department of Physics and Astronomy, University College London, London, WC1E 6BT UK.

Institute for Particle Physics Phenomenology, Durham University, Durham, DH1 3LE UK.

出版信息

Eur Phys J C Part Fields. 2015;75(9):435. doi: 10.1140/epjc/s10052-015-3630-3. Epub 2015 Sep 21.

Abstract

We investigate the uncertainty in the strong coupling [Formula: see text] when allowing it to be a free parameter in the recent MMHT global analyses of deep-inelastic and related hard scattering data that was undertaken to determine the parton distribution functions (PDFs) of the proton. The analysis uses the standard framework of leading twist fixed-order collinear factorisation in the [Formula: see text] scheme. We study the constraints on [Formula: see text] coming from individual data sets by repeating the NNLO and NLO fits spanning the range 0.108 to 0.128 in units of 0.001, making all PDFs sets available. The inclusion of the cross section for inclusive [Formula: see text] production allows us to explore the correlation between the mass [Formula: see text] of the top quark and [Formula: see text]. We find that the best-fit values are [Formula: see text] and [Formula: see text] at NLO and NNLO, respectively, with the central values changing to [Formula: see text] and 0.1178 when the world average of [Formula: see text] is used as a data point. We investigate the interplay between the uncertainties on [Formula: see text] and on the PDFs. In particular we calculate the cross sections for key processes at the LHC and show how the uncertainties from the PDFs and from [Formula: see text] can be provided independently and be combined.

摘要

我们在最近对深度非弹性及相关硬散射数据进行的MMHT全球分析中,将强耦合常数[公式:见原文]作为自由参数,研究其不确定性,该分析旨在确定质子的部分子分布函数(PDFs)。该分析采用了[公式:见原文]方案中前导扭转固定阶共线因子化的标准框架。我们通过以0.001为单位重复进行0.108至0.128范围内的NNLO和NLO拟合,使所有PDFs集可用,来研究来自各个数据集对[公式:见原文]的约束。包含包容性[公式:见原文]产生的截面使我们能够探索顶夸克质量[公式:见原文]与[公式:见原文]之间的相关性。我们发现,在NLO和NNLO时,最佳拟合值分别为[公式:见原文]和[公式:见原文],当使用[公式:见原文]的世界平均值作为数据点时,中心值变为[公式:见原文]和0.1178。我们研究了[公式:见原文]的不确定性与PDFs的不确定性之间的相互作用。特别是,我们计算了大型强子对撞机关键过程的截面,并展示了如何独立提供来自PDFs和来自[公式:见原文]的不确定性并进行组合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f35d/4580228/ac6391a15352/10052_2015_3630_Fig1_HTML.jpg

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