A Gaussian overlapping nuclear pulse estimation method

Abstract

The invention discloses a Gaussian overlapping nuclear pulse estimation method, which estimates the Gaussian overlapping nuclear pulse after Sallen-Key digital shaping. First of all, the original Gaussian overlapping nuclear pulse to be decomposed is regarded as being obtained by S-K digital shaping after superposition of N exponentially decaying nuclear pulses or double-exponential nuclear pulses; then, all the parameters of the N nuclear pulses The parameters of the S-K digital shaping algorithm are regarded as the genes of the chromosome; finally, the error between the Gaussian overlapping nuclear pulse represented by the individual and the original overlapping nuclear pulse is used as the objective function, the optimal individual is obtained by genetic algorithm, and the corresponding The N Gaussian nuclear pulse components to realize the estimation of Gaussian overlapping nuclear pulses. This method searches for the optimal combination of Gaussian nuclear pulses in a global sense to realize the decomposition of Gaussian overlapping nuclear pulses, greatly reduces the discarding rate of Gaussian overlapping nuclear pulses, and improves the accuracy and reliability of radioactivity measurement.

Description

Technical field [0001] The invention relates to a Gaussian overlapped 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, greatly improving the performance of nuclear instruments. In high-speed counting, the overlap 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 forming method as an example, since the exponential nuclear pulse is formed into a Gaussian pulse after passing through the S-K circuit, the signal can be broadened to facilitate amplitude extraction, but the overlap probability of the Gaussian pulse is greatly increased. In recent years, more in-depth research has been conducted on the formation, acquisition, identification and decomposition of Gaussian...

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

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