Gradient Flow for Parton Distribution Functions: First Application to the Pion
Physical Review Letters, vol. 136
Abstract
Parton distribution functions (PDFs) are central to precision QCD phenomenology. Their Mellin moments can be computed on the lattice, but direct determinations using local operators, besides ⟨ x ⟩ , face severe challenges from reduced hypercubic symmetry, limiting results to the lowest moments. A recently proposed method resolves these issues using gradient flow. We demonstrate the efficacy of this method by computing ratios of flavor nonsinglet pion PDF moments up to ⟨ x 5 ⟩ on four lattice spacings at m π ≃ 411 MeV . The moments and reconstructed PDF agree quantitatively with recent phenomenological extractions.
Authors 12
-
National Yang Ming Chiao Tung University
Affiliation as printed
National Yang Ming Chiao Tung University
-
Affiliation as printed
Trinity College
-
Robert V. Harlander Aachen
Affiliation as printed
RWTH Aachen University
-
Lawrence Berkeley National Laboratory · University of California, Berkeley
Affiliation as printed
Lawrence Berkeley National Laboratory
University of California, Berkeley
-
Affiliation as printed
Seoul National University
-
Jonas T. Kohnen Aachen
Affiliation as printed
RWTH Aachen University
-
Affiliation as printed
Forschungszentrum Jülich
-
Lawrence Berkeley National Laboratory · University of California, Berkeley
Affiliation as printed
Lawrence Berkeley National Laboratory
University of California, Berkeley
-
University of Southern Denmark
Affiliation as printed
University of Southern Denmark
-
Andrea Shindler Aachen
Lawrence Berkeley National Laboratory · RWTH Aachen University · University of California, Berkeley
Affiliation as printed
Lawrence Berkeley National Laboratory
RWTH Aachen University
University of California, Berkeley
-
Lawrence Berkeley National Laboratory · University of California, Berkeley
Affiliation as printed
Lawrence Berkeley National Laboratory
University of California, Berkeley
-
Affiliation as printed
Aix Marseille Univ
Cited by 8 stored of 8
8 results
No patents citing this paper on Lens.org (checked 2026-10-06).