The following is an abstract for the selected article. A PDF download of the full text of this article is available here. Members may download full texts at no charge. Non-members may be charged a small fee for certain articles.

Study of Fitting Algorithms Applied to Simultaneous Analysis of Large Numbers of Peaks in -ray Spectra

Volume 57, Number 7 (July 2003) Page 753-760

Morháč, M.; Kliman, J.; Jandel, M.; Krupa, L.; Matoušek, V.

In this paper several nonlinear fitting algorithms without matrix inversion are proposed and investigated. The fitting algorithms represent an integral part of the analysis procedure, allowing us to simultaneously process large numbers of peaks in large blocks of data. The algorithms were applied to the analysis of both one-dimensional as well as two-fold coincidence γ-ray spectra. The properties of the proposed methods and the suitability of employing the appropriate algorithms to different kinds of γ-ray spectra were studied.