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We illustrate a technique for fitting lattice QCD correlators to sums of exponentials that is significantly faster than traditional fitting methods --- 10--40 times faster for the realistic examples we present.
G. P. Lepage, B. Clark, C. T. H. Davies, K. Hornbostel, P. B. Mackenzie, C. Morningstar, H. Trottier, Nucl. Phys. Proc. Suppl. 106
2002
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2010
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Lattice QCD simulations use Euclidean time and so − i t -it is replaced by − t -t in the exponentials. Also simulations are for finite volumes in space, and therefore all states, including multi-hadron states, have discrete energy eigenvalues
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Again the covariance matrix for Δ G a b ( t , n ) \Delta G_{ab}(t;n) is computed using standard error propagation — for example, f ( x ¯ ± σ x ) = f ¯ ± σ f f(\overline{x}\pm\sigma_{x})\!=\!\overline{f}\pm\sigma_{f} with f ¯ ≈ f ( x ¯ ) \overline{f}\!\approx\!f(\overline{x}) and σ f 2 ≈ f ′ ( x ¯ ) 2 σ x 2 \sigma^{2}_{f}\!\approx\!f^{\prime}(\overline{x})^{2}\sigma_{x}^{2} . We have compared this linearized analysis with Monte Carlo evaluations of Δ G \Delta G (from normal distributions for the priors). We find the Monte Carlo results to be both much more expensive and also less robust for correlators that decay exponentially quickly. Note also that it is essential to retain the off-diagonal elements (correlations) in the covariance matrix for Δ G a b ( t , n ) \Delta G_{ab}(t;n) ; correlations arise because, for example, the prior data used for a parameter is the same for all t t values
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The absolute computer times quoted here are obviously of little relevance since they depend upon specific details of hardware and software. What is relevant is the comparison between methods
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