Document Type
Article
Publication Date
2021
DOI
10.1007/JHEP02(2021)138
Publication Title
Journal of High Energy Physics
Volume
2021
Issue
2
Pages
1-36
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.
Original Publication Citation
Del Debbio, L., Giani, T., Karpie, J., Orginos, K., Radyushkin, A., & Zafeiropoulos, S. (2021). Neural-network analysis of parton distribution functions from Ioffe-time pseudodistributions. Journal of High Energy Physics, 2021(2), 1-36, Article 138. https://doi.org/10.1007/JHEP02(2021)138
Repository Citation
Debbio, Luigi Del; Giani, Tommaso; Karpie, Joseph; Orginos, Kostas; Radyushkin, Anatoly; and Zafeiropoulos, Savvas, "Neural-Network Analysis of Parton Distribution Functions From Ioffe-Time Pseudodistributions" (2021). Physics Faculty Publications. 477.
https://digitalcommons.odu.edu/physics_fac_pubs/477
Comments
© 2021 The Authors
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