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Variance reduction via deflation with local coherence

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arxiv 2401.14724 v1 pith:LHUVEURE submitted 2024-01-26 hep-lat

classification hep-lat
keywords deflationvariancelargemathrmaveragingcasescentralcoherence
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abstract

In large enough volumes, translation-averaging for quark-line connected diagrams reduces the variance inversely proportional to the volume. Stochastic estimators which implement translation averaging however introduce new sources of fluctuations, which in some cases can be relatively large. In this work, we explore whether inexact deflation subspaces can be used to improve the precision of the isovector vector correlators. We perform numerical experiments with $N_\mathrm{f}=2$ non-perturbatively $\mathrm O(a)$-improved Wilson fermions and measure the relative contribution from the deflation subspace to the central value and the corresponding variance.

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Cited by 1 Pith paper

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  1. Multigrid low-mode averaging

    hep-lat 2024-12 conditional novelty 6.0 of 10

    A multigrid extension of low-mode averaging keeps the number of Dirac low modes fixed while suppressing stochastic variance on increasingly large lattices.

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