Adjustable parameter radioactivity energy spectrum filtering method

Abstract

The invention discloses an adjustable parameter radioactivity energy spectrum filtering method. The method includes a first step of selecting appropriate standard deviation according to statistical fluctuation of energy spectrum, filtering speed and the accuracy requirement after filtering to construct a normal function with a zero mean value, a second step of selecting an appropriate translation distance according to the statistical fluctuation of the energy spectrum, the filtering speed and the accuracy requirement after filtering, a third step of converting the obtained translation distance to a mean value to construct a series of normal functions, and a final step of carrying out approximative linear expression through the series of normal functions to the energy spectrum to be subjected to filtering processing, if the energy spectrum after the linear expression meets the requirement, completing filtering, and if not, carrying out approximative linear expression through the series of normal functions to the obtained approximative energy spectrum, so repeatedly, until meeting the requirement of filtering. When the standard deviation and the translation distance are small, the peak shape distortion is small after filtering every time and is suitable for filtering to weak peaks. When the selected standard deviation and the translation distance are large, the statistical fluctuation can be restrained and forming of a spectrum peak is accelerated. The selected standard deviation and the translation distance are suitable for filtering of energy spectrum with the large statistical fluctuation and the obvious spectrum peak. The result shows that the method can be used for flexibly selecting the standard deviation and the translation distance so as to adapt to the requirements of filtering accuracy and filtering speed, and is simple in calculation and good in performance.

Description

Technical field [0001] The invention involves a adjustable parameter radiation performance spectrum filtering method. Background technique [0002] Due to the statistical nature of radioactive nucleo decay and energy spectrum measurement, the measured spectrum lines are statistically rising, especially when there are many types of radioactive nucleo and weak radioactive activity, the measured radioactive energy spectrum is not only complicated.And weaker spectrum peaks are easily covered by strong peaks or bases and their statistics.In order to reliably analyze and quantitative analysis, the original spectrum must be effectively filtered for the original spectrum.The commonly used smooth filtering methods are: the average movement method, center of gravity method, and minimum multiplication and method of polynomial. These methods are used to achieve a smooth and smooth purpose.But it is easy to cause large spectrum distortion.Polka analysis is a time -frequency localized analysis...

AI Technical Summary

Problems solved by technology

This method overcomes the shortcomings of current radioactivity spectrum filtering methods

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