A Study of Combined Peak-Searching Method for Symmetric Zero Area and Gaussian Product Function Based on γ-ray Spectrum
- DOI
- 10.2991/wartia-18.2018.22How to use a DOI?
- Keywords
- γ-ray Energy Spectra, Gaussian Product Function Method, Symmetric Zero Area Method, Combined Peak-Searching
- Abstract
The peak position of each peak is determined accurately in the spectra, which is a key problem in the analysis of γ-ray spectrum. In this paper, basis of comparing the Gaussian product function method and the symmetrical zero area method, the IAEA-approved G-1200 is selected as the peak-searching test spectra, the simulation experiment based on MATLAB is used for the test analysis and to extract the corresponding characteristic parameters of the spectral line. Aiming at the respective advantages of the two peak searching methods in γ-ray spectrum analysis, a method of combined peak-searching for symmetric zero area and Gaussian product function is proposed, which the statistical fluctuation of spectral data is effectively reduced, the background effect is eliminated, the peak positions information is highlighted, and the true peaks or false peaks can be identified according to the preset conditions. The result of experiment represents that symmetric zero area and Gaussian product function combined peak-searching method to peak-searching is also suitable for unsmooth data, this method has the advantages of small calculation amount, fast searching speed and obvious effect.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jianfeng He AU - Sheng Huang AU - Zhixiang Ye AU - Xueyuan Wang AU - Xiang Li AU - Shirong Zhou PY - 2018/09 DA - 2018/09 TI - A Study of Combined Peak-Searching Method for Symmetric Zero Area and Gaussian Product Function Based on γ-ray Spectrum BT - Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018) PB - Atlantis Press SP - 131 EP - 137 SN - 2352-5401 UR - https://doi.org/10.2991/wartia-18.2018.22 DO - 10.2991/wartia-18.2018.22 ID - He2018/09 ER -