Chang, C. C. and Nicholson, A. N. and Rinaldi, E. and Berkowitz, E. and Garron, N. and Brantley, D. A. and Monge-Camacho, H. and Monahan, C. J. and Bouchard, C. and Clark, M. A. and Joó, B. and Kurth, T. and Orginos, K. and Vranas, P. and Walker-Loud, A. (2018) A per-cent-level determination of the nucleon axial coupling from quantum chromodynamics. Nature, 558 (7708). pp. 91-94. ISSN 0028-0836
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Abstract
The axial coupling of the nucleon, gA, is the strength of its coupling to the weak axial current of the standard model of particle physics, in much the same way as the electric charge is the strength of the coupling to the electromagnetic current. This axial coupling dictates the rate at which neutrons decay to protons, the strength of the attractive long-range force between nucleons and other features of nuclear physics. Precision tests of the standard model in nuclear environments require a quantitative understanding of nuclear physics that is rooted in quantum chromodynamics, a pillar of the standard model. The importance of gA makes it a benchmark quantity to determine theoretically—a difficult task because quantum chromodynamics is non-perturbative, precluding known analytical methods. Lattice quantum chromodynamics provides a rigorous, non-perturbative definition of quantum chromodynamics that can be implemented numerically. It has been estimated that a precision of two per cent would be possible by 2020 if two challenges are overcome: contamination of gA from excited states must be controlled in the calculations and statistical precision must be improved. Here we use an unconventional method11 inspired by the Feynman–Hellmann theorem that overcomes these challenges. We calculate a gA value of 1.271 ± 0.013, which has a precision of about one per cent.
| Item Type: | Article |
|---|---|
| Additional Information and Comments: | The final version, published in Nature, is available from: https://www.nature.com/articles/s41586-018-0161-8 |
| Faculty / Department: | Faculty of Human and Digital Sciences > Mathematics and Computer Science |
| Depositing User: | Nicolas Garron |
| Date Deposited: | 15 May 2023 14:07 |
| Last Modified: | 15 May 2023 14:07 |
| URI: | https://hira.hope.ac.uk/id/eprint/3920 |
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