6–9 Jul 2026
Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Cracow, Poland
Europe/Warsaw timezone

Nucleon Unpolarized PDFs at the Physical Point in the Coulomb Gauge

6 Jul 2026, 15:30
30m
Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Cracow, Poland

Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Cracow, Poland

ul. prof. Stanisława Łojasiewicza 11, 30-348 Cracow, Poland

Speaker

Qi Shi (Kent State University)

Description

We present the first Coulomb-gauge calculation of the nucleon unpolarized parton distribution functions (PDFs) at the physical pion mass. Both the isovector and connected isoscalar channels are computed within the large-momentum effective theory (LaMET) framework on a $2+1$ flavor ensemble with lattice spacing $a = 0.076$ fm. By employing kinematically enhanced interpolating operators, we successfully reach nucleon boosts up to $P_z = 2.29$ GeV. The light-cone PDFs are extracted by applying next-to-leading-order (NLO) perturbative matching combined with next-to-leading-logarithmic (NLL) renormalization-group resummation (RGR) and exhibit good convergence between $P_z=1.78$ and 2.29 GeV. The real and imaginary parts of the matrix elements provide access to the valence $q-\bar{q}$ and full $q+\bar{q}$ combinations, respectively, from which we reconstruct the quark and antiquark distributions over the entire kinematic range $x \in [-1, 1]$. The isovector antiquark distribution exhibits a positive $\bar{d} - \bar{u}$ signal consistent with the Gottfried sum rule violation. For the connected isoscalar channel, the RGR substantially mitigates the unphysical excursions of the fixed-order result in the antiquark region, with the residual deviation from NNPDF4.0 expected to arise mainly from the disconnected diagrams not included in this study. Within the reliable moderate window of $0.25 < |x| < 0.65$, our reconstructed NLO+NLL distributions exhibit good agreement with the NNPDF4.0 global analysis.

Primary author

Qi Shi (Kent State University)

Co-authors

Xiang Gao (BNL) Andrew Hanlon (Kent State University) Jinchen He (University of Maryland) Xiangyu Jiang (Indiana University) Swagato Mukherjee (Brookhaven National Laboratory) Peter Petreczky (Brookhaven National Laboratory) Yong Zhao (Argonne National Laboratory)

Presentation materials