DOE OSTI · 2571081
Transverse momentum distributions at large- x
Abstract
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.
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del Rio, Oscar [Complutense Univ. of Madrid (Spain)] (ORCID:0000000323701670), Prokudin, Alexei [Penn State University Berks, Reading, PA (United States); Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)] (ORCID:0000000159564159), Scimemi, Ignazio [Complutense Univ. of Madrid (Spain)] (ORCID:0000000155985810), Vladimirov, Alexey [Complutense Univ. of Madrid (Spain)] (ORCID:000000015449194X). 2025-06-24. Transverse momentum distributions at large- x. https://doi.org/10.1007/jhep06(2025)218
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