Study of fitting algorithms applied to simultaneous analysis of large numbers of peaks in γ-ray spectra

被引：11
|
作者：
Morhác, M
Kliman, J
Jandel, M
Krupa, L
Matousek, V
机构：
[1] Slovak Acad Sci, Inst Phys, Bratislava 84228, Slovakia
[2] Joint Inst Nucl Res, Flerov Lab Nucl React, Dubna, Russia
来源：
APPLIED SPECTROSCOPY | 2003年 / 57卷 / 07期
关键词：
fitting algorithm without matrix inversion; coincidence gamma-ray spectra analysis; peak identification; background elimination; deconvolution;
D O I：
10.1366/000370203322102825
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
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 gamma-ray spectra. The properties of the proposed methods and the suitability of employing the appropriate algorithms to different kinds of gamma-ray spectra were studied.
引用
收藏
页码：753 / 760
页数：8
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