STI Publications - View Publication Form #15955
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Publication Information
| Title | Efficient Fourier Transforms for Transverse Momentum Dependent Distributions | ||||
| Abstract | Hadron production at low transverse momenta in semi-inclusive deep inelastic scattering can be described by transverse momentum dependent (TMD) factorization. This formalism has also been widely used to study the Drell-Yan process and back-to-back hadron pair production in $e^+e^-$ collisions. These processes are the main ones for extractions of TMD parton distribution functions and TMD fragmentation functions, which encode important information about nucleon structure and hadronization. One of the most widely used TMD factorization formalism in phenomenology formulates TMD observables in coordinate $\bt$-space, the conjugate space of the transverse momentum. The Fourier transform from $\bt$-space back into transverse momentum space is sufficiently complicated due to oscillatory integrands and requires a careful and computationally intensive numerical treatment in order to avoid potentially large numerical errors. In this paper we develop a fast two-dimensional numerical Fourier tr | ||||
| Author(s) | Z. Kang, Alexei Prokudin, N. Sato, John Terry | ||||
| Publication Date | January 2021 | ||||
| Document Type | Journal Article | ||||
| Primary Institution | Thomas Jefferson National Accelerator Facility, Newport News | ||||
| Affiliation | Theory & Comp Physics / THEORY CENTER / THEORY CENTER | ||||
| Funding Source | Nuclear Physics (NP) | ||||
| Proprietary? | No | ||||
| This publication conveys | Technical Science Results | ||||
| Document Numbers |
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| Associated with an experiment | No | ||||
| Associated with EIC | No | ||||
| Supported by Jefferson Lab LDRD Funding | No |
Journal Article
| Journal Name | Computer Physics Communication |
| Refereed | Yes |
| Volume | 258 |
| Issue | |
| Page(s) | 107611 |
Attachments/Datasets/DOI Link
| Document(s) |
paper46.pdf
(STI Document)
1906.05949.pdf
(Accepted Manuscript)
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| DOI Link | |
| Dataset(s) | (none) |
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