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遗传算法调用GEANT4优化设计方法应用于气体切伦科夫探测器GRH(Gamma Reaction History)系统设计过程可有效提高探测器指标,然而GEANT4程序计算耗时。本文研究了GEANT4程序的接续计算方法,采用函数拟合方式和文件读入的方式进行了接续计算源描述,采用文件读入的方式接续计算结果与直接计算结果吻合良好,效率相差1.4%,时间谱半高宽相差2.1%。采用接续计算方法使得整体优化时间下降50%以上,提高了计算效率。该接续计算方法也可应用于其他采用GEANT4直接模拟收敛困难的计算问题。
Genetic algorithm calls GEANT4 optimization design method used in gas Cherenkov detector GRH (Gamma Reaction History) system design process can effectively improve the detector index, but GEANT4 program time-consuming. In this paper, the continuation calculation method of GEANT4 program is studied, and the description of continuation calculation source is carried out by the method of function fitting and the method of file read in. The result of file read in connection with the direct calculation results is in good agreement with the difference of 1.4% Spectral half-width difference of 2.1%. Using continuous calculation method makes the overall optimization time decreased by more than 50%, improve the computational efficiency. This continuation method can also be applied to other computational problems that directly simulate convergence difficulties with GEANT4.