An Algorithm for Obtaining Reliable Priors for Constrained-Curve Fits
arXiv:hep-lat/0309045 · doi:10.1016/S0920-5632(03)02730-0
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 lattice with spatial size La=3.2 fm and pion mass as low as 180 MeV.
Lattice2003(machine), 3 pages, 3 figures