Misc,

The Sequential Empirical Bayes Method: An Adaptive Constrained-Curve Fitting Algorithm for Lattice QCD

, , , , , , , , , and .
(May 3, 2004)

Abstract

We introduce the ``Sequential Empirical Bayes Method'', an adaptive constrained-curve fitting procedure for extracting reliable priors. These are then used in standard augmented-\$\chi^2\$ fits on separate data. This better stabilizes fits to lattice QCD overlap-fermion data at very low quark mass where a priori values are not otherwise known. Lessons learned (including caveats limiting the scope of the method) from studying artificial data are presented. As an illustration, from local-local two-point correlation functions, we obtain masses and spectral weights for ground and first-excited states of the pion, give preliminary fits for the \$a\_0\$ where ghost states (a quenched artifact) must be dealt with, and elaborate on the details of fits of the Roper resonance and \$S\_11(N^1/2-)\$ previously presented elsewhere. The data are from overlap fermions on a quenched \$16^328\$ lattice with spatial size \$La=3.2 fm\$ and pion mass as low as \$180 MeV\$.

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