The Application of Improved SNIP Algorithm Based on Simpson in the Background Subtraction of AGS

Fei LI, Liang-quan GE, Jin YANG, Xin-yu TANG, Yi GU, Kun SUN, Zhi-peng DENG

Abstract


Spectrum unfolding technology is a vital process of airborne gamma-ray spectrometry survey system. Due to the Compton scattering effect, the small angle scattering of gamma ray, environmental radionuclide, electronic noise, cosmic rays, etc., background subtraction is considered as one of the most complicated research field in the spectrum unfolding technology. The sensitive nonlinear iterative peak (SNIP) algorithm is widely implemented because of its simple mathematic structure and reliable background subtraction effect. However, the convergence speed of the iterative process in the second step slow down the running time. In view of this, the SNIP iteration in the original algorithm is replaced by the Simpson formula with higher algebraic accuracy. Compared with the original SNIP algorithm, the improved algorithm has fewer iterations and higher accuracy.

Keywords


Airborne gamma-ray spectrometry, SNIP algorithm, Simpson, Background subtraction


DOI
10.12783/dtcse/ammso2019/30140

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