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Hauptverfasser: Sha, Congzhou M, Ma, Bailing
Format: Preprint
Veröffentlicht: 2024
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Online-Zugang:https://arxiv.org/abs/2409.00221
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author Sha, Congzhou M
Ma, Bailing
author_facet Sha, Congzhou M
Ma, Bailing
contents 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 few 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_00221
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle tParton: Implementation of next-to-leading order evolution of transversity parton distribution functions
Sha, Congzhou M
Ma, Bailing
High Energy Physics - Phenomenology
Nuclear Theory
Computational Physics
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 few 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.
title tParton: Implementation of next-to-leading order evolution of transversity parton distribution functions
topic High Energy Physics - Phenomenology
Nuclear Theory
Computational Physics
url https://arxiv.org/abs/2409.00221