We develop a robot algorithm to maximise the number of distinct states reliably extracted from correlator data using the variational analysis method. The robot explores the variational parameter space and attempts to remove, as far as possible, the human element from the fitting of the subsequent orthogonalised data.
@article{arxiv.0812.1872,
title = {A Fitting Robot for Variational Analysis},
author = {Alan Ó Cais and Derek Leinweber and Selim Mahbub and Tony Williams},
journal= {arXiv preprint arXiv:0812.1872},
year = {2010}
}
Comments
7 pages, 10 figures, proceedings of presentation given at the XXVI International Symposium on Lattice Field Theory, July 14-19, 2008, Williamsburg, Virginia, USA