STI Publications - View Publication Form #16630
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Publication Information
| Title | Bayesian Wilson coefficients in lattice QCD computations of PDF and GPD | ||||
| Abstract | We propose an analysis method for the leading-twist operator product expansion based lattice QCD determinations of the valence parton distribution function (PDF). In the first step, we determine the confidence-intervals of the leading-twist MS-bar Wilson coefficients, $C_n(\mu^2 z^2)$, of the equal-time bilocal quark bilinear, given the lattice QCD matrix element of Ioffe-time distribution for a particular hadron {\sl H} as well as the prior knowledge of the valence PDF, $f(x,\mu)$ of the hadron {\sl H} determined via global fit from the experimental data. In the next step, we apply the numerically estimated $C_n$ in the lattice QCD determinations of the valence PDFs of other hadrons, and for the zero-skewness generalized parton distribution (GPD) of the same hadron {\sl H} at non-zero momentum transfers. Our proposal still assumes the dominance of leading-twist terms, but it offers a pragmatic alternative to the usage of perturbative Wilson coefficients and their associated higher-lo | ||||
| Author(s) | Nikhil Sridharan Karthik, R. Sabbir Sufian | ||||
| Publication Date | October 2021 | ||||
| Document Type | Journal Article | ||||
| Primary Institution | The College of William and Mary, Williamsburg, VA | ||||
| Affiliation | Theory & Comp Physics / THEORY CENTER / THEORY CENTER | ||||
| Funding Source | Nuclear Physics (NP), DE-FG02-04ER41302 | ||||
| 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 | Physical Review D |
| Refereed | Yes |
| Volume | 104 |
| Issue | |
| Page(s) | 074506 |
Attachments/Datasets/DOI Link
| Document(s) |
pap1.pdf
(STI Document)
PhysRevD.104.074506.pdf
(Accepted Manuscript)
paper_revised.pdf
(Supporting)
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| DOI Link | |
| Dataset(s) | (none) |
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