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 language | English |
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Article number | 01008 |
Journal | EPJ Web of Conferences |
Volume | 175 |
DOIs | |
State | Published - Mar 26 2018 |
Externally published | Yes |
Event | 35th International Symposium on Lattice Field Theory, Lattice 2017 - Granada, Spain Duration: Jun 18 2017 → Jun 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.
Funders | Funder number |
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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 Sciences | 1125915 |
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 |