TMD factorization and evolution at large bT

John Collins, Ted C. Rogers

Research output: Contribution to journalConference article

Abstract

In using transverse-momentum-dependent (TMD) parton densities and fragmentation functions, important non-perturbative information is at large transverse position bT. This concerns both the TMD functions and their evolution. Fits to high energy data tend to predict too rapid evolution when extrapolated to low energies where larger values of bT dominate. I summarize a new analysis of the issues. It results in a proposal for much weaker bT dependence at large bT for the evolution kernel, while preserving the accuracy of the existing fits. The results are particularly important for using transverse-spin-dependent functions like the Sivers function.

Original languageEnglish (US)
Article number189
JournalProceedings of Science
Volume27-April-2015
StatePublished - Jan 1 2015
Event23rd International Workshop on Deep-Inelastic Scattering, DIS 2015 - Dallas, United States
Duration: Apr 27 2015May 1 2015

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factorization
transverse momentum
partons
preserving
proposals
fragmentation
energy

All Science Journal Classification (ASJC) codes

  • General

Cite this

Collins, J., & Rogers, T. C. (2015). TMD factorization and evolution at large bT. Proceedings of Science, 27-April-2015, [189].
Collins, John ; Rogers, Ted C. / TMD factorization and evolution at large bT. In: Proceedings of Science. 2015 ; Vol. 27-April-2015.
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Collins, J & Rogers, TC 2015, 'TMD factorization and evolution at large bT', Proceedings of Science, vol. 27-April-2015, 189.

TMD factorization and evolution at large bT. / Collins, John; Rogers, Ted C.

In: Proceedings of Science, Vol. 27-April-2015, 189, 01.01.2015.

Research output: Contribution to journalConference article

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AU - Rogers, Ted C.

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AB - In using transverse-momentum-dependent (TMD) parton densities and fragmentation functions, important non-perturbative information is at large transverse position bT. This concerns both the TMD functions and their evolution. Fits to high energy data tend to predict too rapid evolution when extrapolated to low energies where larger values of bT dominate. I summarize a new analysis of the issues. It results in a proposal for much weaker bT dependence at large bT for the evolution kernel, while preserving the accuracy of the existing fits. The results are particularly important for using transverse-spin-dependent functions like the Sivers function.

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Collins J, Rogers TC. TMD factorization and evolution at large bT. Proceedings of Science. 2015 Jan 1;27-April-2015. 189.