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A New Extraction of Pion Parton Distributions in the Statistical Model
Physics Letters B ( IF 4.4 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.physletb.2020.136021
Claude Bourrely , Franco Buccella , Jen-Chieh Peng

Abstract We present a new analysis to extract pion's parton distribution functions (PDFs) in the framework of the statistical model. Starting from the statistical model framework first developed for the spin-1/2 nucleon, we apply appropriate modifications taking into account the spin-0 nature of pion and the isospin and charge-conjugation symmetry properties. This results in a significant reduction of the number of parameters compared to a recent work to extract pion's PDFs. Using π − -induced Drell-Yan data to determine the parameters of this statistical model approach, we show that a good description of these experimental data with Next-to-Leading order QCD calculations can be obtained. Good agreement between the calculations and the π + / π − Drell-Yan cross section ratio data, not included in the global fit, has confirmed the predictive power of these new pion PDFs.

中文翻译:

统计模型中 Pion Parton 分布的新提取

摘要 我们提出了一种在统计模型框架内提取 pion 的部分子分布函数 (PDF) 的新分析。从最初为自旋 1/2 核子开发的统计模型框架开始,我们应用适当的修改,考虑到 pion 的自旋 0 性质以及同位旋和电荷共轭对称特性。与最近提取 pion 的 PDF 的工作相比,这导致参数数量显着减少。使用 π - 诱导的 Drell-Yan 数据来确定这种统计模型方法的参数,我们表明可以通过 Next-to-Leading order QCD 计算获得对这些实验数据的良好描述。计算与 π + / π − Drell-Yan 横截面比数据之间的良好一致性,不包括在全局拟合中,
更新日期:2021-02-01
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