Neural-network analysis of Parton Distribution Functions from Ioffe-time pseudodistributions
Luigi Del Debbio, Tommaso Giani, Joseph Karpie, Kostas Orginos,, Anatoly Radyushkin, Savvas Zafeiropoulos
TL;DR
This paper presents a novel method to extract nucleon Parton Distribution Functions from lattice QCD data using the NNPDF framework, addressing systematic uncertainties for more accurate results.
Contribution
It introduces a systematic approach for extracting light-cone PDFs from lattice QCD pseudodistribution data within the NNPDF framework, considering multiple lattice ensembles.
Findings
Successful extraction of nonsinglet nucleon PDFs from lattice data.
Detailed treatment of systematic uncertainties in the extraction process.
Demonstration of the method's robustness across different lattice ensembles.
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.
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