Application of wavelet transform in γ-ray spectra analysis

被引：2

作者：

Yu GuoLiang ^{[1
,2
]}

Gu JianZhong ^{[2
]}

Hou Long ^{[2
]}

Li ZhenYu ^{[3
]}

Wang YanZhao ^{[4
]}

Zhang YiYun ^{[5
]}

机构：

[1] North China Elect Power Univ, Dept Math & Phys, Baoding 071003, Peoples R China

[2] China Inst Atom Energy, Dept Nucl Phys, Bejjing 102413, Peoples R China

[3] Guizhou Normal Coll, Sch Phys & Elect Sci, Guiyang 550018, Peoples R China

[4] Shijiazhuang Tiedao Univ, Dept Math & Phys, Shijiazhuang 050043, Peoples R China

[5] Si Chuan Univ, Coll Phys Sci & Technol, Chengdu 610065, Peoples R China

来源：

SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY | 2013年 / 56卷 / 09期

基金：

中国国家自然科学基金;

关键词：

wavelet transform; gamma-ray spectra; photo-peak; BWR STABILITY; DISCRIMINATION;

D O I：

10.1007/s11433-013-5185-3

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

The frequency distribution of different ingredients in gamma-ray spectra, e.g., photo-peak, fluctuations of counts and Compton region, is separately analyzed. After wavelet transform of gamma-ray spectra, the wavelet coefficients of a photo-peak increase with transforming scales and these coefficients show direct proportion with intensity of peak at determinate scale. A novel algorithm based on wavelet transform is proposed and studied. The results indicate that most of the photo-peaks in multi-spectra can be determined accurately, the gamma-rays energy and intensity of the peak can also be determined. This method has the prospect of being applied in on-line multi-spectra analysis in such fields as radioprotection and nuclear safety monitoring.

引用

页码：1735 / 1739

页数：5

共 14 条

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