# Iso-vector axial form factors of the nucleon in two-flavour lattice QCD

## TL;DR

This study uses lattice QCD to calculate nucleon axial form factors, emphasizing the importance of excited-state effects and performing chiral and continuum extrapolations to obtain reliable physical results.

## Contribution

It provides a detailed lattice QCD calculation of nucleon axial form factors with improved treatment of excited states and systematic uncertainties, using chiral effective theories for extrapolation.

## Key findings

- Axial charge g_A = 1.278 ± 0.068 (+0.000/-0.087)
- Axial charge radius ⟨r_A^2⟩ = 0.360 ± 0.036 (+0.080/-0.088) fm^2
- Induced pseudoscalar charge g_P = 7.7 ± 1.8 (+0.8/-2.0)

## Abstract

We present a lattice calculation of the nucleon iso-vector axial and induced pseudoscalar form factors on the CLS ensembles using $N_{\rm f}=2$ dynamical flavours of non-perturbatively $\mathcal{O}(a)$-improved Wilson fermions and an $\mathcal{O}(a)$-improved axial current together with the pseudoscalar density. Excited-state effects in the extraction of the form factors are treated using a variety of methods, with a detailed discussion of their respective merits. The chiral and continuum extrapolation of the results is performed both using formulae inspired by Heavy Baryon Chiral Perturbation Theory (HBChPT) and a global approach to the form factors based on a chiral effective theory (EFT) including axial vector mesons. Our results indicate that careful treatment of excited-state effects is important in order to obtain reliable results for the axial form factors of the nucleon, and that the main remaining error stems from the systematic uncertainties of the chiral extrapolation. As final results, we quote $g_{\rm A} = 1.278 \pm 0.068\genfrac{}{}{0pt}{1}{+0.000}{-0.087}$, $\langle r_{\rm A}^2\rangle = 0.360 \pm 0.036\genfrac{}{}{0pt}{1}{+0.080}{-0.088}~\mathrm{fm}^2$, and $g_{\rm P} = 7.7 \pm 1.8 \genfrac{}{}{0pt}{1}{+0.8}{-2.0}$ for the axial charge, axial charge radius and induced pseudoscalar charge, respectively, where the first error is statistical and the second is systematic.