Twist-2 matching of transverse momentum dependent distributions

We systematically study the large-qT (or small-b) matching of transverse momentum dependent (TMD) distributions to the twist-2 integrated parton distributions. Performing operator product expansion for a generic TMD operator at the next-to-leading order (NLO) we found the complete set of TMD distrib...

Descripción completa

Detalles Bibliográficos
Autores: Gutiérrez Reyes, Daniel, Scimemi, Ignazio, Vladimirov, Alexey A.
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/18043
Acceso en línea:https://hdl.handle.net/20.500.14352/18043
Access Level:acceso abierto
Palabra clave:51-73
Parton distributions
Renormalization
Regularization
Evolution
Helicity
Física-Modelos matemáticos
Física matemática
Descripción
Sumario:We systematically study the large-qT (or small-b) matching of transverse momentum dependent (TMD) distributions to the twist-2 integrated parton distributions. Performing operator product expansion for a generic TMD operator at the next-to-leading order (NLO) we found the complete set of TMD distributions that match twist-2. These are unpolarized, helicity, transversity, pretzelosity and linearly polarized gluon distributions. The NLO matching coefficients for these distributions are presented. The pretzelosity matching coefficient is zero at the presented order, however, it is evident that it is non-zero in the following orders. This result offers a natural explanation of the small value of pretzelosity found in phenomenological fits. We also demonstrate that the cancellation of rapidity divergences by the leading order soft factor imposes the necessary requirement on the Lorentz structure of TMD operators, which is supported only by the TMD distributions of leading dynamical twist. Additionally, this requirement puts restrictions on the gamma(5)-definition in the dimensional regularization. (C) 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license.