Estimation method of Gaussian overlapped nuclear pulses

Abstract

The invention discloses an estimation method of Gaussian overlapped nuclear pulses, and the method is used to estimate Gaussian overlapped nuclear pulses after Sallen-Key digital shaping. Original Gaussian overlapped nuclear pulses to be decomposed are obtained by superposing N index attenuated nuclear pulses or double-index nuclear pulses and carrying out S-K digital shaping; all parameters of the N nuclear pulses and parameters of an S-K digital shaping algorithm are seen as genes of a chromosome; and an error between the Gaussian overlapped nuclear pulses represented by individuals and the original overlapped nuclear pulses serves as a target function, an optimal individual is obtained by using a genetic algorithm, and N corresponding Gaussian nuclear pulse components are reconstructed to estimate the Gaussian overlapped nuclear pulses. According to the method, an optimal combination of Gaussian nuclear pulses is searched in the global aspect, the Gaussian overlapped nuclear pulses are decomposed, the abandoning rate of the Gaussian overlapped nuclear pulses is greatly reduced, and the accuracy and credibility of radioactivity measurement are improved.

Description

technical field [0001] The invention relates to a Gaussian overlapping nuclear pulse estimation method. Background technique [0002] With the development of high-speed integrated circuits, digital shaping technology has become an important method of nuclear pulse signal processing, which greatly improves the performance of nuclear instruments. During high-speed counting, the overlapping of adjacent nuclear pulses is inevitable. For the current waveform shaping technology, the parameter estimation of overlapping nuclear pulses is still a difficult problem. Taking the Sallen-Key (S-K) Gaussian shaping method as an example, since the exponential core pulse is shaped into a Gaussian pulse after passing through the S-K circuit, the signal can be broadened to facilitate the extraction of the amplitude, but the overlapping probability of the Gaussian pulse is greatly increased. In recent years, more in-depth research has been carried out on the shaping, acquisition, identificatio...

AI Technical Summary

Problems solved by technology

To a certain extent, this method solves the technical problem that it is difficult to accurately extract relevant information due to the Gaussian signal overlap of adjacent nuclear pulses after Sallen-Key (hereinafter referred to as S-K) shaping, which is of great significance for improving the accuracy of radioactivity measurement

Images