English

Variance Reduction and Cluster Decomposition

High Energy Physics - Lattice 2018-07-12 v3 Statistical Mechanics High Energy Physics - Phenomenology Nuclear Theory Computational Physics

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\theta term suffer from a noise problem due to the V\sqrt{V} fluctuation. We identify these problems to have the same origin and the V\sqrt{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\theta 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.

Keywords

Cite

@article{arxiv.1705.06358,
  title  = {Variance Reduction and Cluster Decomposition},
  author = {Keh-Fei Liu and Jian Liang and Yi-Bo Yang},
  journal= {arXiv preprint arXiv:1705.06358},
  year   = {2018}
}

Comments

7 pages, 5 figures, appendix added to address the systematic error

R2 v1 2026-06-22T19:50:30.962Z