Radioactivity energy spectrum smoothing method

Abstract

The invention discloses a radioactivity energy spectrum smoothing method. The radioactivity energy spectrum smoothing method comprises the steps as follows: constructing a function space comprising Gaussian functions; projecting an energy spectrum in the function space at a plurality of times; and adjusting the weights of the Gaussian functions during projecting, so as to achieve smoothing filtering of the energy spectrum. When relatively low standard deviation sigma and scale j are selected (for example, the sigma is ranged from 0.2 to 0.6, and the j is 0), the distortion of the peak shape is reduced after smoothing each time, so that the method is applicable to the smoothing of a weak peak; once relatively high standard deviation sigma and scale j are selected (for example, the sigma is ranged from 0.6 to 1, and the j is 1, 2, 3......,), the statistical fluctuation can be greatly suppressed, and the spectral peak can be accelerated to be shaped, so that the method is suitable for the smoothing of the energy spectrum which is high in statistical fluctuation and obvious in spectral peak. As the results shown, the standard deviation sigma and the function space Vj can be flexibly selected by virtue of the method disclosed by the invention, so that the requirements on smoothing precision and processing speed can be met; and moreover, the method is simple and convenient to calculate and is a smoothing filtering method which is good in functions.

Description

technical field [0001] The invention relates to a radioactivity spectrum smoothing method. Background technique [0002] In the radioactivity measurement, the measured spectral lines have statistical fluctuations, especially when there are many types of radionuclides and the radioactive activity is weak, the measured radioactivity spectrum is not only complex, but also the weaker spectral peaks Easily masked by strong peaks or backgrounds and their statistical fluctuations. For reliable qualitative and quantitative analysis, effective smoothing and filtering of the original spectrum is necessary. The smoothing and filtering of the radioactivity spectrum has been researched for many years at home and abroad. The traditional methods are: average moving method, center of gravity method, polynomial least squares fitting method. These methods use successive segmentation to achieve the purpose of smoothing , although it can partially eliminate the statistical fluctuation of the ...

AI Technical Summary

Problems solved by technology

This method overcomes the deficiencies of current radioactivity spectrum smoothing methods

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