Publications
Publication Information
| Title | Neural-network analysis of Parton Distribution Functions from Ioffe-time pseudodistributions |
| Authors | Luigi Del Debbio, Tommaso Giani, Joseph Karpie, K. Orginos, Anatoly Radyushkin, Savvas Zafeiropoulos |
| JLAB number | JLAB-THY-20-3284 |
| LANL number | arXiv:2010.03996 |
| Other number | DOE/OR/23177-5078 |
| Document Type(s) | (Journal Article) |
| Associated with EIC: | No |
| Supported by Jefferson Lab LDRD Funding: | No |
| Funding Source: | Nuclear Physics (NP) |
|
Journal Compiled for Journal of High Energy Physics Volume 2021 Page(s) 138 Refereed | |
| Publication Abstract: | We extract two nonsinglet nucleon Parton Distribution Functions from lattice QCD data for reduced Ioffe-time pseudodistributions. We perform such analysis within the NNPDF framework, considering data coming from different lattice ensembles and discussing in detail the treatment of the different source of systematics involved in the fit. We introduce a recipe for taking care of systematics and use it to perform our extraction of light-cone PDFs. |
| Experiment Numbers: | |
| Group: | THEORY CENTER |
| Document: | |
| DOI: | https://doi.org/10.1007/JHEP02(2021)138 |
| Accepted Manuscript: | Debbio2021_Article_Neural-networkAnalysisOfParton.pdf |
| Supporting Documents: | |
| Supporting Datasets: | |