Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/55129
Type: | Conference paper |
Title: | A fitting robot for variational analysis |
Author: | Cass, A. Leinweber, D. Mahbub, M. Williams, A. |
Citation: | Proceedings of Science: XXVI International Symposium on Lattice Field Theory : 137 |
Publisher: | Proceedings of Science |
Publisher Place: | USA |
Issue Date: | 2008 |
ISSN: | 1824-8039 |
Conference Name: | International Symposium on Lattice Field Theory (26th : 2008 : Williamsburg, VA.) |
Statement of Responsibility: | Alan Ó Cais, Derek Leinweber, Selim Mahbub, Tony Williams |
Abstract: | 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. |
Description (link): | http://conferences.jlab.org/lattice2008/ |
Published version: | http://pos.sissa.it/cgi-bin/reader/conf.cgi?confid=66 |
Appears in Collections: | Aurora harvest 5 Chemistry and Physics publications |
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