A NEW STOCHASTIC OPTIMIZATION STRATEGY FOR QUANTITATIVE-ANALYSIS OF CORE-LEVEL PHOTOEMISSION DATA

Authors
Citation
Aa. Cafolla, A NEW STOCHASTIC OPTIMIZATION STRATEGY FOR QUANTITATIVE-ANALYSIS OF CORE-LEVEL PHOTOEMISSION DATA, Surface science, 404(1-3), 1998, pp. 561-565
Citations number
12
Categorie Soggetti
Chemistry Physical
Journal title
ISSN journal
00396028
Volume
404
Issue
1-3
Year of publication
1998
Pages
561 - 565
Database
ISI
SICI code
0039-6028(1998)404:1-3<561:ANSOSF>2.0.ZU;2-I
Abstract
A new procedure is presented for the curve-fitting of core level photo emission energy distribution curves. The algorithm described in this p aper is an exceptionally simple Evolutionary Strategy that is both fas t and robust. It presents a novel departure from conventional determin istic non-linear least-squares fitting techniques such as the Simplex, and the Levenberg-Marquard methods. A detailed description of the alg orithm is presented. The technique is demonstrated by applying it to t he curve-fitting of As 3d core level spectra obtained in synchrotron p hotoemission experiments. (C) 1998 Elsevier Science B.V. All rights re served.