A Resolution Enhancing Algorithm for Gamma-Ray Spectrum Based on Blind Deconvolution and Lp-Norm Sparsity Constraint

2017 ◽  
Author(s):  
Xinpeng Li ◽  
Sheng Fang ◽  
Hong Li
Keyword(s):  
Spectrum Analysis ◽  
Gamma Ray ◽  
Blind Deconvolution ◽  
System Response ◽  
High Resolution Spectrum ◽  
Reconstruction Method ◽  
Analysis Method ◽  
Response Matrix ◽  
Lp Norm ◽  
Sparsity Constraint

Current gamma-ray spectrum analysis method uses a preset system response matrix to improve the resolution of gamma-ray spectrum. However, the system response matrix may not be available or biased due to limitation of experiment conditions, which can degrade the accuracy of gamma-ray spectrum analysis. To solve the problem, a new reconstruction method based on blind deconvolution and sparsity constraint is proposed to improve the resolution of gamma-ray spectrum in this study. The proposed method models the modulation of spectrometer as a convolution operation and reconstructs the high resolution spectrum as well as the convolution kernel simultaneously. Lp-norm based sparsity constraint is imposed to stabilize the demodulation of spectrometer and reduce the background oscillations, so that the resolution can be enhanced. The results of both numerical simulation and experiments demonstrate that the proposed method can effectively improve the resolution of gamma-ray spectrum and reduce background oscillations without any aid of system response matrix.

scholarly journals Marine radioisotope gamma-ray spectrum analysis method based on Geant4 simulation and MLP neural network

2021 ◽  
Vol 16 (06) ◽  
pp. P06030
Author(s):  
W. Dai ◽  
Z. Zeng ◽  
D. Dou ◽  
H. Ma ◽  
J. Cheng ◽  
...  
Keyword(s):  
Neural Network ◽  
Spectrum Analysis ◽  
Gamma Ray ◽  
Geant4 Simulation ◽  
Analysis Method ◽  
Mlp Neural Network

An analysis method of gamma-ray pulse-height distributions obtained with a Ge(Li) detector

1975 ◽  
Vol 125 (4) ◽  
pp. 507-523 ◽  
Author(s):  
Nobuo Sasamoto ◽  
Kinji Koyama ◽  
Shun-Ichi Tanaka
Keyword(s):  
Gamma Ray ◽  
Pulse Height ◽  
Analysis Method

Gamma-Ray Spectrum Analysis of Chang’E-1 for Lunar Detection

2010 ◽  
Vol 133 (5) ◽  
Author(s):  
Xu HongKun ◽  
Fang Fang ◽  
Ni Shijun ◽  
He Jianfeng ◽  
You Lei
Keyword(s):  
Spectral Characteristic ◽  
Spectrum Analysis ◽  
Gamma Ray ◽  
Low Energy ◽  
Elemental Abundance ◽  
Nuclear Engineering ◽  
Gamma Ray Spectrometer ◽  
Lunar Prospector ◽  
Spectrometer Data ◽  
Wavelet Methods

Gamma-ray spectrum analysis was essential for radioactive environmental monitoring, and it had been widely used in many areas of nuclear engineering. However, for the low-energy region of gamma-ray spectrum, weak peaks were contained in the fast-decreasing background, so it was difficult to extract characteristic information from original spectra. In order to get a better analytic result based on wavelet methods in frequency domain, we had processed the gamma-ray spectrometer data of Chang’E-1 and well extracted some useful information of spectral characteristic peaks. Then, we preliminarily mapped the distribution of net peak counts for potassium on lunar surface, which indirectly reflected the distribution of elemental abundance. At last, we compared our analytic result with that of Apollo and Lunar Prospector and found some consistencies and differences.

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