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A Fast fine-grained genetic algorithm for spectrum fitting: an application to X-ray spectra

Brunetti, Antonio (2013) A Fast fine-grained genetic algorithm for spectrum fitting: an application to X-ray spectra. Computer Physics Communications, Vol. 184 (3), p. 573-578. eISSN 1879-2944. Article.

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DOI: 10.1016/j.cpc.2012.10.010

Abstract

Often the result of the interaction of radiation with matter is represented by a spectrum. Regardless of the type of radiation used, a spectrum consists of peaks superimposed on a background. The important information is contained in the peak, so the derivation of the peaks parameters is fundamental. However, in most cases the fitting of the spectrum is an ill-posed problem, because of the presence of superimposed peaks. In this case the algorithms reported in the literature sometimes fail. For these reasons a genetic algorithm approach has been developed and is described here. Its novelty for this kind of application is represented by the use of a fine-grained strategy that makes it considerably faster than other implementations of this class of algorithms. Some results of its application to X-ray spectra are presented and discussed.

Item Type:Article
ID Code:8680
Status:Published
Refereed:Yes
Uncontrolled Keywords:Genetic algorithm, XRF, diffraction, NDT, UV, polyatomic molecules
Subjects:Area 02 - Scienze fisiche > FIS/07 Fisica applicata (a beni culturali, ambientali, biologia e medicina)
Divisions:001 Università di Sassari > 01-a Nuovi Dipartimenti dal 2012 > Scienze Politiche, Scienze della Comunicazione e Ingegneria dell'Informazione
Publisher:Elsevier
eISSN:1879-2944
Deposited On:22 Feb 2013 13:44

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