The Sequential Empirical Bayes Method: An Adaptive Constrained-Curve Fitting Algorithm for Lattice QCD
| dc.creator | Chen, Ying | |
| dc.creator | Dong, Shao-Jing | |
| dc.creator | Draper, Terrence | |
| dc.creator | Horvath, Ivan | |
| dc.creator | Liu, Keh-Fei | |
| dc.creator | Mathur, Nilmani | |
| dc.creator | Tamhankar, Sonali | |
| dc.creator | Srinivasan, Cidambi | |
| dc.creator | Lee, Frank X. | |
| dc.creator | Zhang, Jianbo | |
| dc.date | 2004-05-03 | |
| dc.date.accessioned | 2026-07-07T03:39:07Z | |
| dc.date.available | 2026-07-07T03:39:07Z | |
| dc.description | We introduce the ``Sequential Empirical Bayes Method'', an adaptive constrained-curve fitting procedure for extracting reliable priors. These are then used in standard augmented-$χ^2$ fits on separate data. This better stabilizes fits to lattice QCD overlap-fermion data at very low quark mass where {\it 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 $16^3\times 28$ lattice with spatial size $La=3.2 {\rm fm}$ and pion mass as low as $\sim 180 {\rm MeV}$. | |
| dc.description | 37 pages, 16 figures, uses apsrev.bst | |
| dc.identifier | https://arxiv.org/abs/hep-lat/0405001 | |
| dc.identifier | http://arxiv.org/abs/hep-lat/0405001 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/38801 | |
| dc.subject | High Energy Physics - Lattice | |
| dc.title | The Sequential Empirical Bayes Method: An Adaptive Constrained-Curve Fitting Algorithm for Lattice QCD | |
| dc.type | text |