• Open Access

Parton distribution functions from lattice QCD using Bayes-Gauss-Fourier transforms

Constantia Alexandrou, Giovanni Iannelli, Karl Jansen, and Floriano Manigrasso
Phys. Rev. D 102, 094508 – Published 13 November 2020

Abstract

We present a new method, based on Gaussian process regression, for reconstructing the continuous x-dependence of parton distribution functions (PDFs) from quasi-PDFs computed using lattice QCD. We examine the origin of the unphysical oscillations seen in current lattice calculations of quasi-PDFs and develop a nonparametric fitting approach to take the required Fourier transform. The method is tested on one ensemble of maximally twisted mass fermions with two light quarks. We find that with our approach oscillations of the quasi-PDF are drastically reduced. However, the final effect on the light-cone PDFs is small. This finding suggests that the deviation seen between current lattice QCD results and phenomenological determinations cannot be attributed solely on the Fourier transform.

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  • Received 4 August 2020
  • Accepted 21 October 2020

DOI:https://doi.org/10.1103/PhysRevD.102.094508

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Particles & Fields

Authors & Affiliations

Constantia Alexandrou1,2, Giovanni Iannelli1,3,4,5, Karl Jansen5, and Floriano Manigrasso1,3,4

  • 1Department of Physics, University of Cyprus, P.O. Box 20537, 1678 Nicosia, Cyprus
  • 2The Cyprus Institute, 20 Konstantinou Kavafi Strasse, 2121 Nicosia, Cyprus
  • 3Università di Roma Tor Vergata, Via della Ricerca Scientifica 1, I-00133 Rome, Italy
  • 4Institut für Physik, Humboldt-Universität zu Berlin, Newtonstrasse 15, 12489 Berlin, Germany
  • 5Deutsches Elektronen-Synchrotron, 15738 Zeuthen, Germany

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Issue

Vol. 102, Iss. 9 — 1 November 2020

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