A Method for Deducting Radon Thoron Progeny Fixed Energy Area Proportional Coefficient

Abstract

The invention provides a method for deducting the proportional coefficient of the fixed energy range of radon thoron daughters, which comprises the following steps: obtaining the spectral line, performing smoothing and spectral drift correction on the spectral line, determining the energy range of the spectral line, training a support vector regression machine, and performing the measured Spectral lines were subtracted from radon and thoron progeny using a trained support vector regression machine. The deduction effect of radon and thoron progeny is a main factor affecting the minimum detection limit of the artificial radioactive aerosol continuous monitor. Because of the high generalization ability of the support vector regression machine, the method has global optimality, and it is a theory for small sample statistics. Non-linear curves have advantages such as good fitting characteristics. Using the support vector regression machine to deduct radon thoron daughters, its performance is better than the average value, empirical formula and neural network subtraction method currently used, which improves the accuracy of radon thoron daughter deduction, thereby further reducing the minimum detection limit of the monitor.

Description

technical field [0001] The invention relates to the technical field of design and improvement of environmental radiation monitoring equipment, in particular to a method for deducting the fixed energy region proportional coefficient of radon thoron progeny. Background technique [0002] Radioactive aerosols in the environment are mainly caused by radioactive particulate matter entering the air, adhering or condensing to ordinary dust particles or water mist in the air, so that non-radioactive aerosols become radioactive aerosols. From the point of view of source, radioactive aerosol is composed of two parts: natural α / β radioactive aerosol and artificial α / β radioactive aerosol. Natural α / β radioactive aerosols are formed by radon and its daughters produced by natural radiation series in the environment entering the atmosphere. Artificial α / β radioactive aerosols will release a large amount of artificial radioactive substances into the atmosphere due to atmospheric nuclear t...

AI Technical Summary

Problems solved by technology

[0007] In summary, the existing problems in the prior art are: using the average value and empirical formula to fit and deduct radon thoron progeny, there is a large error, which affects the improvement of the deduction accuracy, and the use of neural networks to deduct radon thoron progeny, Although it can improve the deduction accuracy, it does not perform well in practical applications due to defects such as requiring a large number of training samples and being prone to overfitting.

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