A full spectral analysis method for the gamma spectrum: weighted library least squares.


Journal

Analytical methods : advancing methods and applications
ISSN: 1759-9679
Titre abrégé: Anal Methods
Pays: England
ID NLM: 101519733

Informations de publication

Date de publication:
21 10 2021
Historique:
pubmed: 29 9 2021
medline: 30 10 2021
entrez: 28 9 2021
Statut: epublish

Résumé

The traditional library least squares approach (LLS) is affected by the inconsistency of the statistical uncertainties of different channels in a gamma spectrum, which leads to large fluctuations in the analysis results. This work proposes a weighted library least squares approach (WLLS) that uses the square root of the count to weight the regression objective function and has implemented a verification experiment based on Prompt Gamma Neutron Activation Analysis (PGNAA). The results showed that, after weighing using the square root of the count, the fluctuation level of statistical uncertainty in the spectrum was reduced from 44.34 to 2.25. After the analysis of the WLLS approach, the average standard deviation of the results was reduced to at least 0.37 times that of the LLS approach.

Identifiants

pubmed: 34580692
doi: 10.1039/d1ay01319j
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4718-4723

Auteurs

AiYun Sun (A)

Department of Nuclear Science and Technology, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.

WenBao Jia (W)

Department of Nuclear Science and Technology, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.
Collaborative Innovation Centre of Radiation Medicine of Jiangsu Higher Education Institutions, Suzhou, 215000, China.

DaQian Hei (D)

School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China. heidq@lzu.edu.cn.

MengCheng Qiu (M)

Department of Nuclear Science and Technology, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.

Can Cheng (C)

Department of Nuclear Science and Technology, College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China.

JiaTong Li (J)

School of Physical Science and Technology, Lanzhou University, Lanzhou, 730000, China.

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Classifications MeSH