Digital n-gamma discrimination method based on falling edge integration

Abstract

The invention relates to the technical field of radiation detection, and particularly relates to a digital n-gamma discrimination method based on falling edge integration. The method comprises the steps of measuring a neutron gamma mixed field by a detector and a card collector, taking 280 points for each signal, and eliminating double-peak, flat-peak and stacked-peak signals in pulse signals; carrying out amplitude normalization processing on the eliminated pulse signals; carrying out filtering processing on the normalized pulse signals; setting two optimal B-type threshold lines on the section with the most obvious difference between the falling edges of the neutrons and the gamma pulse signals, and limiting two optimal B-type threshold line segments at 11 points in width; respectively integrating neutrons and gamma pulse signals in the two optimal B-type threshold line segments by using a differential method; summing the amplitudes of the points between the sections with the most obvious difference to respectively obtain neutron pulse falling edge integral values; taking the difference between the falling edge integral values of the neutrons and the gamma pulse signals as a discrimination factor to obtain a discrimination effect distribution curve of the neutrons and the gamma pulse signals; and enabling the discrimination effect to be better.

Description

technical field [0001] The invention relates to the technical field of radiation detection, in particular to a digital n-γ discrimination method based on falling edge integration. Background technique [0002] Since the discovery of neutrons, after decades of development, neutron detection technology has been widely and deeply researched and applied. Today neutron detectors are used in neutron imaging techniques, nuclear research, nuclear medicine applications and safety issues. Because of the inelastic diffuse reflection of neutrons and the environment, the radiation capture of slowed neutrons and other factors, the environment with neutrons is almost always accompanied by a large number of gamma rays. So the main problem in neutron detection is to distinguish neutron signal from background gamma rays. Organic scintillators are commonly used to detect recoil protons produced by fast neutrons, through which neutrons can be detected. When neutrons are injected into the sci...

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Problems solved by technology

In recent years, the real-time discrimination of fast neutron gamma in time domain has become the mainstream research direction. At present, the fast neutron gamma discrimination methods include pulse time width method, pulse amplitude width method, pulse time and amplitude two-type width method, and slope method. , angle difference method, backward distance method, based on variance and average value method, etc. Although the above methods can effectively extract the difference of pulse waveforms, and the calculation is simple and the discrimination speed is fast, but the number of discrimination errors is large

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