FITTING OF LOW-STATISTICS PEAKS IN ALPHA-PARTICLE SPECTRA

被引：7
作者：
GARCIATORANO, E
机构：
[1] Metrología, Instituto de Investigación Básica, CIEMAT, 28040 Madrid, Ed. 3
来源：
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 1994年 / 339卷 / 1-2期
关键词：
D O I：
10.1016/0168-9002(94)91790-6
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
The least-squares fitting of spectra with low statistics results in peak areas that depend on the definition of the statistical weights used in the minimization algorithm. This problem is of particular importance when analysing low-level spectra and complex spectra in which low-intensity peaks coexist with large ones. A typical example is the determination of alpha-particle emission probabilities by numerical analysis of alpha spectra obtained using semiconductor detectors. A systematic study has been carried out on the influence of different weights in the fitting of alpha-particle spectra. Reference spectra have been constructed by direct measurement or addition of several well-defined spectra. These spectra have been fitted by using different minimization criteria (Pearson's chi(2), Neyman's chi(2), and others), and the results have been compared.
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页码：122 / 126
页数：5
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