• Open Access

Variance reduction and cluster decomposition

Keh-Fei Liu, Jian Liang, and Yi-Bo Yang
Phys. Rev. D 97, 034507 – Published 15 February 2018

Abstract

It is a common problem in lattice QCD calculation of the mass of the hadron with an annihilation channel that the signal falls off in time while the noise remains constant. In addition, the disconnected insertion calculation of the three-point function and the calculation of the neutron electric dipole moment with the θ term suffer from a noise problem due to the V fluctuation. We identify these problems to have the same origin and the V problem can be overcome by utilizing the cluster decomposition principle. We demonstrate this by considering the calculations of the glueball mass, the strangeness content in the nucleon, and the CP violation angle in the nucleon due to the θ term. It is found that for lattices with physical sizes of 4.5–5.5 fm, the statistical errors of these quantities can be reduced by a factor of 3 to 4. The systematic errors can be estimated from the Akaike information criterion. For the strangeness content, we find that the systematic error is of the same size as that of the statistical one when the cluster decomposition principle is utilized. This results in a 2 to 3 times reduction in the overall error.

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  • Received 3 June 2017

DOI:https://doi.org/10.1103/PhysRevD.97.034507

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Particles & Fields

Authors & Affiliations

Keh-Fei Liu1, Jian Liang1, and Yi-Bo Yang2

  • 1Department of Physics and Astronomy, University of Kentucky, Lexington, Kentucky 40506, USA
  • 2Department of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824, USA

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Issue

Vol. 97, Iss. 3 — 1 February 2018

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