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An Algorithm for Obtaining Reliable Priors for Constrained-Curve Fits

Terrence Draper·Shao-Jing Dong·Ivan Horvath·Frank Lee·Nilmani Mathur·Jianbo Zhang
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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-square 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. We illustrate the efficacy of the method with data from overlap fermions, on a quenched $16^3\times 28$ lattice with spatial size La=3.2 fm and pion mass as low as $\sim$ 180 MeV.

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Terrence Draper, Shao-Jing Dong, Ivan Horvath, Frank Lee, Nilmani Mathur, Jianbo Zhang. 2003-09-11. An Algorithm for Obtaining Reliable Priors for Constrained-Curve Fits. https://doi.org/10.1016/s0920-5632(03)02730-0

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