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Energy spectrum analysis method based on linear superposition model

A technology of linear superposition and analytical method, which is applied in X-ray energy spectrum distribution measurement, computational model, biological model, etc., to achieve the effect of high search accuracy and fast convergence speed

Inactive Publication Date: 2018-06-08
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

For the analysis of complex energy spectra with multiple elements and unstable factors that cause energy spectrum distortion, it has faster convergence speed and higher search accuracy, making up for the shortcomings of current energy spectrum analysis methods

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  • Energy spectrum analysis method based on linear superposition model
  • Energy spectrum analysis method based on linear superposition model
  • Energy spectrum analysis method based on linear superposition model

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Embodiment Construction

[0012] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: the present embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and processes are provided, but the protection scope of the present invention is not limited to the following implementations example.

[0013] This embodiment assumes that the multi-element complex energy spectrum obtained in the radioactivity measurement is F 0 (x), where x is the track site, using this method to analyze the energy spectrum follows the following specific steps ①~③.

[0014] Step ① For the analyzed energy spectrum F 0 (x) is normalized to obtain an energy spectrum F(x) with an area of ​​1.

[0015] In step ②, the normalized energy spectrum F(x) is represented by a linear superposition model (Linear Superposition), which is named LIN-SUP model in this paper:

[0016]

[0017] In the formula (1...

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Abstract

The invention discloses an energy spectrum analysis method based on a linear superposition model. For solving the problems of complex energy spectrum analysis with multiple elements and instability factors which cause energy spectral distortion, and with combination of the characteristics of an energy spectrum formation process, a linear superposition model (Linear Superposition) is provided; natural selection is introduced into an algorithm, and an improved particle swarm algorithm with random inertia weight is used for optimization of parameters. Each particle corresponds to one LIN-SUP model, and the adaptation value of each LIN-SUP model is calculated. Through initialization of the particle swarm, evaluation of the quality of particles and the iterative updating of the particle 'flight' speed and position and other processes, the LIN-SUP model, namely the global optimal LIN-SUP model, with optimal adaptation value is searched. The results show that the method has faster convergencespeed and higher searching accuracy, and can be widely used in analysis of various energy spectra.

Description

technical field [0001] The invention relates to an energy spectrum analysis method based on a linear superposition model. Background technique [0002] In radioactive measurement, due to the presence of multiple elements in the radioactive source, the low energy resolution of the detector, and the instability of the energy spectrum (such as drift), the energy spectrum becomes complicated: such as the shape of the spectrum becomes weird, the adjacent spectrum Peaks overlap, which brings inconvenience to the analysis of energy spectrum (such as qualitative and quantitative analysis of components). Some researchers used the iterative algorithm of Gaussian mixture model, genetic algorithm, curve fitting method and the combination of wavelet transform and neural network to fit the overlapping spectrum. However, there are few reports on energy spectrum analysis for complex situations with multiple elements and unstable factors that lead to energy spectrum distortion. [0003] Ai...

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Application Information

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IPC IPC(8): G01N23/00G01T1/36G06N3/00
CPCG01N23/00G01T1/36G06N3/006
Inventor 黄洪全马兴科彭亚娜
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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