Transverse momentum distributions at large-x
A bstract We investigate the collinear matching of transverse momentum dependent (TMD) distributions at large values of x , computing and resumming the leading large- x asymptotics for matching coefficients. The large- x resummation is done directly within TMD distributions, ensuring the process-independence of the result. The derived resummation formulas are valid for all TMD distributions (except the pretzelosity). Their application improves perturbative convergence, provides practical estimation for unknown higher-order contributions, and sets restrictions for the nonperturbative part of models. Using the known anomalous dimensions, resummation can reach N 3 LL, often exceeding the accuracy of known coefficient functions.
Authors
- Alexey Vladimirov (ORCID: https://orcid.org/0000-0001-5449-194X)
- Ignazio Scimemi (ORCID: https://orcid.org/0000-0001-5598-5810)
- Óscar del Río (ORCID: https://orcid.org/0000-0003-2370-1670)
- Alexei Prokudin (ORCID: https://orcid.org/0000-0001-5956-4159)
Institutions
- Universidad Complutense de Madrid (ES)
- Pennsylvania State University (US)
- Thomas Jefferson National Accelerator Facility (US)
Publication Details
- Journal
- Journal of High Energy Physics
- Published
- 2025-06-24
- DOI
- https://doi.org/10.1007/jhep06(2025)218
- Citations
- 2
- Primary Topic
- Particle physics theoretical and experimental studies
- Type
- article
- Field-Weighted Citation Impact
- 3.74
Funders
- National Science Foundation
- U.S. Department of Energy
- Comunidad de Madrid
- European Commission
- Agencia Estatal de Investigación
- H2020 Marie Skłodowska-Curie Actions
- Thomas Jefferson National Accelerator Facility