Method for high-precision determination of the nucleon axial structure using lattice QCD: Removing $\pi N$-state contamination
Yasumichi Aoki, Ken-Ichi Ishikawa, Yoshinobu Kuramashi, Shoichi Sasaki, Kohei Sato, Eigo Shintani, Ryutaro Tsuji, Hiromasa Watanabe, Takeshi Yamazaki (for the PACS Collaboration)

TL;DR
This paper presents a lattice QCD method to accurately determine the nucleon axial structure by removing $ pi N$-state contamination, achieving results consistent with experimental data and pion-pole dominance predictions.
Contribution
The authors introduce a subtraction technique to eliminate $ pi N$ excited-state contamination in lattice QCD calculations of the nucleon pseudoscalar form factors, improving agreement with experiments.
Findings
Successfully reproduced $F_P(q^2)$ and $G_P(q^2)$ in line with pion-pole dominance.
Achieved a few percent accuracy in calculating $g_P^*$ and $g_{ pi NN}$.
Demonstrated the effectiveness of the subtraction method in reducing systematic uncertainties.
Abstract
We performed a precise calculation of physical quantities related to the axial structure of the nucleon using 2+1 flavor lattice QCD gauge configuration (PACS10 configuration) generated at the physical point with lattice volume larger than by the PACS Collaboration. The nucleon matrix element of the axial-vector current has two types of the nucleon form factors, the axial-vector () form factor and the induced pseudoscalar () form factor. Recently lattice QCD simulations have succeeded in reproducing the experimental value of the axial-vector coupling, , determined from at zero momentum transfer , at a percent level of statistical accuracy. However, the form factor so far has not reproduced the experimental values well due to strong excited-state contamination. Therefore, we proposed a simple subtraction method for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
