tParton: an updated implementation of next-to-leading order transversity evolution

Congzhou M Sha, Bailing Ma
{"title":"tParton: an updated implementation of next-to-leading order transversity evolution","authors":"Congzhou M Sha, Bailing Ma","doi":"arxiv-2409.00221","DOIUrl":null,"url":null,"abstract":"We provide code to solve the Dokshitzer-Gribov-Lipatov-Altarelli-Parisi\n(DGLAP) evolution equations for the nucleon transversity parton distribution\nfunctions (PDFs), which encode nucleon transverse spin structure. Though codes\nare widely available for the evolution of unpolarized and polarized PDFs, there\nare no recent codes publicly available for the transversity PDF. Here, we\npresent Python code which implements two methods of solving the leading order\n(LO) and next-to-leading order (NLO) approximations of the DGLAP equations for\nthe transversity PDF, and we highlight the theoretical differences between the\ntwo.","PeriodicalId":501369,"journal":{"name":"arXiv - PHYS - Computational Physics","volume":"13 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Computational Physics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.00221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We provide code to solve the Dokshitzer-Gribov-Lipatov-Altarelli-Parisi (DGLAP) evolution equations for the nucleon transversity parton distribution functions (PDFs), which encode nucleon transverse spin structure. Though codes are widely available for the evolution of unpolarized and polarized PDFs, there are no recent codes publicly available for the transversity PDF. Here, we present Python code which implements two methods of solving the leading order (LO) and next-to-leading order (NLO) approximations of the DGLAP equations for the transversity PDF, and we highlight the theoretical differences between the two.
tParton:下至导阶横向演化的最新实施方案
我们提供了求解核子横向部分子分布函数(PDF)的多克什策-格里波夫-利帕托夫-阿尔塔雷利-帕里斯(DGLAP)演化方程的代码,PDF编码核子横向自旋结构。虽然非极化和极化 PDF 的演化代码已广泛存在,但最近还没有公开的横向 PDF 代码。在这里,我们将介绍 Python 代码,它实现了两种方法来求解横向 PDF 的 DGLAP 方程的前导阶(LO)和次前导阶(NLO)近似,并强调了这两种方法的理论差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信