Nucleon axial coupling from Lattice QCD

Chia Cheng Chang, Amy Nicholson, Enrico Rinaldi, Evan Berkowitz, Nicolas Garron, David Brantley, Henry Monge-Camacho, Chris Monahan, Chris Bouchard, M. A. Clark, Bálint Joó, Thorsten Kurth, Kostas Orginos, Pavlos Vranas, André Walker-Loud

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

We present state-of-the-art results from a lattice QCD calculation of the nucleon axial coupling, gA, using Möbius Domain-Wall fermions solved on the dynamical Nf = 2 + 1 + 1 HISQ ensembles after they are smeared using the gradient-flow algorithm. Relevant three-point correlation functions are calculated using a method inspired by the Feynman-Hellmann theorem, and demonstrate significant improvement in signal for fixed stochastic samples. The calculation is performed at five pion masses of mπ ∼ {400, 350, 310, 220, 130} MeV, three lattice spacings of a ∼ {0.15, 0.12, 0.09} fm, and we do a dedicated volume study with mπL ∼ {3.22, 4.29, 5.36}. Control over all relevant sources of systematic uncertainty are demonstrated and quantified. We achieve a preliminary value of gA = 1.285(17), with a relative uncertainty of 1.33%.

Original languageEnglish
Article number01008
JournalEPJ Web of Conferences
Volume175
DOIs
StatePublished - Mar 26 2018
Externally publishedYes
Event35th International Symposium on Lattice Field Theory, Lattice 2017 - Granada, Spain
Duration: Jun 18 2017Jun 24 2017

Funding

We thank C. Bernard, A. Bernstein, P.J. Bickel, C. Detar, A.X. El-Khadra, W. Haxton, V. Koch, A.S. Kronfeld, W.T. Lee, G.P. Lepage, E. Mereghetti, G. Miller, D. Toussaint and F. Yuan for discussions. We thank the MILC Collaboration for providing their HISQ configurations [19, 20] without restriction. An award of computer time was provided by the Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program to CalLat (2016) as well as the Lawrence Livermore National Laboratory (LLNL) Multiprogrammatic and Institutional Computing program through a Tier 1 Grand Challenge award. This research used the NVIDIA GPU-accelerated Titan supercomputer at the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725, and the Surface and RZHasGPU clusters at LLNL. This work was supported by the NVIDIA Corporation (MAC), the DFG and the NSFC Sino-German CRC110 (EB), an LLNL LDRD (EB, ER, PV), an LBNL LDRD (AWL), the RIKEN Special Postdoctoral Researcher Program (ER), the Leverhulme Trust (NG), the U.S. Department of Energy, Office of Science: Office of Nuclear Physics (EB, CMB, DAB, CCC, TK, HMC, AN, ER, BJ, KO, PV, AWL); Office of Advanced Scientific Computing (EB, TK, AWL); Nuclear Physics Double Beta Decay Topical Collaboration (DAB, HMC, AWL); and the DOE Early Career Award Program (DAB, CCC, HMC, AWL). This work (EB, ER, PV) was performed under the auspices of the U.S. Department of Energy by LLNL under Contract No. DE-AC52-07NA27344. Part of this work was performed at the Kavli Institute for Theoretical Physics supported by NSF Grant No. PHY-1125915.

FundersFunder number
LBNL LDRD
Lawrence Livermore National Laboratory
Nuclear Physics Double Beta Decay Topical Collaboration
Office of Nuclear Physics
National Science Foundation
U.S. Department of Energy
Directorate for Mathematical and Physical Sciences1125915
Freddie Mac
Kavli Institute for Theoretical Physics, University of California, Santa Barbara
Office of Science
Advanced Scientific Computing Research
Lawrence Livermore National Laboratory
NVIDIA
Leverhulme Trust
Deutsche Forschungsgemeinschaft
National Natural Science Foundation of China
RIKEN

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