Rapid spectrum stabilization method and device for ray energy spectrometer

Abstract

The invention discloses a rapid spectrum stabilization method for a ray energy spectrometer, comprising the following steps: adopting the quadratic curve to fit the envelope curve of the characteristic peak of the ray energy spectrum; computing the axis of symmetry of the envelope curve to compute the peak channel CP of the characteristic peak of the ray energy spectrum; and adaptively compensating the spectrum drift amount of the peak channel CP relative to the peak channel of the standard spectrum to correct the peak channel CP, thereby realizing spectrum stabilization. In the step of peak searching, zygomorphy and the characteristic of the quadratic curve are adopted to search for the peak channel CP and the quadratic curve is characterized by only having unique extreme point, thus greatly reducing the amount of computation. In the step of correction, the adaptive adjustment algorithm is adopted to gradually change the parameter of gain or high pressure to achieve the aim of eliminating spectral drift. Therefore, the method has the advantages of fast update speed and high computation accuracy. The invention also discloses a rapid spectrum stabilization device corresponding to the method, comprising a curve fitting module, a peak searching module and a correction module. The device adopts the digital logic structure design of parallel computing, thus greatly improving the computing speed.

Description

technical field [0001] The invention relates to a fast spectrum stabilization method and device for a ray energy spectrometer, which are mainly used in the fields of nuclear detection technology, nuclear electronics and the like. Background technique [0002] In the fields of nuclear detection technology and nuclear electronics, X-ray energy spectrometers and gamma-ray energy spectrometers are often used to detect naturally occurring radioactive elements in the formation, and then use parameters such as the intensity and propagation time of the detected rays to calculate geological information. In the actual operation process, due to the interference of many factors such as the instability of environmental parameters such as temperature and humidity, the complexity of geological conditions, and the defects of detection equipment and detection methods, the calculated energy spectrum usually has spectral drift. As a result, the accuracy of subsequent calculation results is af...

AI Technical Summary

Problems solved by technology

However, it is not easy to accurately obtain the functional relationship of the spectral drift corresponding to the numerical change of gain adjustment or high-voltage adjustment through experiments. Even if the same hardware circuit design scheme is used, two energy spectrometers composed of different components can be determined through experiments. It is also difficult to keep the functional relationship constant, so that the experimental method to accurately find the functional relationship and adjust it to achieve a stable spectrum is not effective.

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