Low-resolution gamma energy spectrum inversion analysis process and method based on Monte Carlo response matrix

Abstract

The invention relates to a low-resolution gamma energy spectrum inversion analysis process and method based on a Monte Carlo response matrix. The analysis process comprises the steps of detecting an instrument spectrum, constructing a geometric model of a detector, simulating a response function of the detector, extracting feature parameters of the response function, generating the Monte Carlo response matrix, and performing inversion analysis, and is specifically implemented by constructing the geometric model of the detector according to a physical process for forming the instrument spectrum, simulating the response function of an NaI(Tl) flashing detector to gamma photons by a Monte Carlo method, determining the feature parameters of the response function, constructing the Monte Carlo response matrix between a radiation source and a gamma spectrum by an interpolation algorithm, and realizing the inversion analysis on gamma instrument spectrums of other tested samples under the response matrix by a Gold or Boosted-Gold algorithm. By the application of the analysis method disclosed by the invention, the complicated processing procedures such as spectrum smoothing, peak searching and overlapped peak separation are omitted; an analysis result is a solution of a spectral line which is close to a theoretical physical spectral line under the response matrix; the spectral line analysis capacity is improved.

Description

Technical field The invention relates to the technical field of gamma instrument spectrum analysis, in particular to a low-resolution gamma energy spectrum inversion analysis process and method based on a Monte Carlo response matrix. Background technique Driven by the application requirements of the International Atomic Energy Agency (IAEA), radioactive spectrometers have become indispensable equipment for nuclear facilities and other nuclear radiation sites, nuclear power plants, chemical defense forces, nuclear emergency and verification, and anti-nuclear terrorism. For large public places such as airports, ports, customs, stations, etc., it is used in nuclear technology applications such as environmental radiation detection, anti-nuclear terrorism security check, radiation source cleaning, and natural radionuclide information detection. Therefore, the study of γ energy spectrum analysis method has broad application scenarios and social practical significance for meeting the ...

AI Technical Summary

Problems solved by technology

The purpose of the present invention is to provide a low-resolution gamma energy spectrum inversion analysis process and method based on Monte Carlo response matrix, mainly for the low energy resolution of NaI (Tl) scintillation detector, the forward analysis process and method are loaded down with trivial details, It does not consider the matching of the detector and the spectrometer, the extraction of multiple characteristic parameters in the spectral line, and the construction of the response matrix between the radioactive source and the gamma energy spectrum, etc., so as to achieve accurate qualitative and quantitative radionuclide analysis goal

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