Application research of γ energy spectrum analysis based on improved grey wolf algorithm

Abstract

BackgroundTraditional γ energy spectrum analysis methods have the disadvantages of long time, many steps and low accuracy.PurposeThis study aims to propose an improved gray wolf algorithm based on qualitative analysis to obtain nuclide information faster and more accurately.MethodsThe convergence factor based on the inverted S-curve was adopted in the improved gray wolf algorithm to maintain the balance between the global search and the local search of the algorithm, and solve the problem of local optimum that the original gray wolf algorithm fallen into easily. A dimension-by-dimension update strategy was introduced to improve the accuracy and efficiency of optimization. Finally, this improved gray wolf algorithm was applied to experimental test on the gamma spectra of "Soil standard source" and "Marin cup standard source".ResultsExperimental results show that the improved gray wolf algorithm has a better analysis effect on multi-nuclides mixed gamma spectra. The analysis speed is 59% faster than the original gray wolf algorithm.The analytical error of all nuclides in the soil standard source can be controlled within ±10%. The average absolute error of 8 nuclides is within 4%. Except for 226Ra and 235U in the Marin Cup standard source, the errors of other nuclides are less than 10%. The average absolute error of the 8 nuclides is within 7%.ConclusionsThe improved gray wolf algorithm provides a new method for rapid analysis of nuclides.

Keywords

• γ energy spectrum
• quantitative analysis
• gray wolf algorithm
• inverted s-curve
• dimensional update