STI Publications - View Publication Form #16450
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Publication Information
| Title | Quark distribution inside a pion in many-flavor 2+1 dimensional QCD using lattice: UV listens to IR | ||||
| Abstract | We study the changes in the short-distance quark structure of the Nambu-Goldstone boson when the long-distance symmetry-breaking scales are depleted controllably. We achieve this by studying the valence Parton Distribution Function (PDF) of pion in 2+1 dimensional two-color QCD, with the number N of massless quarks as the tunable parameter that slides the theory from being strongly broken for N = 0 to the conformal window for N > 4, where the theory is gapped by the fixed finite volume. We perform our study non-perturbatively using lattice simulations with N = 0, 2, 4, 8 flavors of nearly massless two-component Wilson-Dirac sea quarks and employ the leading-twist formalism (LaMET/SDF) to compute the PDF of pion at a fixed valence mass. We find that the relative variations in the first few PDF moments are only mild compared to the changes in decay constant, but the shape of the reconstructed x-dependent PDF itself dramatically changes from being broad in the scale-broken sector to being | ||||
| Author(s) | Nikhil Sridharan Karthik | ||||
| Publication Date | April 2021 | ||||
| Document Type | Journal Article | ||||
| Primary Institution | Colonial Williamsburg Foundation, 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 | 103 |
| Issue | |
| Page(s) | 074512 |
Attachments/Datasets/DOI Link
| Document(s) |
paper53.pdf
(STI Document)
PhysRevD.103.074512.pdf
(Accepted Manuscript)
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| DOI Link | |
| Dataset(s) | (none) |
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