光学与光电技术, 2018, 16 (4): 23, 网络出版: 2018-08-30
基于粒子群算法反演液体光学常数新方法
A New Method Based on Particle Swarm Optimization to Invert Liquid Optical Constants
光学常数 粒子群算法 双厚度法 实验偏差 液体 optical constant particle swarm optimization double thickness method experimental deviation liquid
摘要
光学常数是液体的一个重要物理指标,液体光学常数的准确反演是其在污染物分析和物质鉴定等领域中应用的关键。通过粒子群优化算法与现有的双厚度法结合构造了一种反演液体光学常数的新方法(粒子群双厚度法),通过编程求解该方法。以蒸馏水为例,研究了该方法的适用性,并与现有的两种反演方法进行了对比分析。结果表明:粒子群双厚度法反演液体光学常数精度高,其中吸收指数求解值的最大相对误差不超过6×10-4%,优于现有的反演方法;实验测量偏差亦对粒子群双厚度法反演液体光学常数有一定影响,但对折射率影响较大,而吸收指数影响较小。
Abstract
Optical constant is an important physical index of liquid, and accurate inversion of liquid optical constant is the key to its application in the field of pollutant analysis and material identification.A new method for inversion of liquid optical constant (particle group double thickness method) is constructed by combining the particle swarm optimization algorithm with the existing double thickness method, and the method is solved by programming.Taking distilled water as an example, the applicability of this method is studied and compared with the two existing inversion methods.The results show that the double thickness method of particle swarm has a high precision in inversion of liquid optical constant, and the maximum relative error of the absorption index is not more than 6×10-4%, which is better than the existing inversion method. The experimental measurement deviation also has some influence on the inversion of liquid optical constants solved by particle group double thickness method, and it has great influence on refractive index and has slight effect on absorption index.
吴国忠, 胡鑫浩, 齐晗兵, 王秋实, 李栋. 基于粒子群算法反演液体光学常数新方法[J]. 光学与光电技术, 2018, 16(4): 23. WU Guo-zhong, HU Xin-hao, QI Han-bing, WANG Qiu-shi, LI Dong. A New Method Based on Particle Swarm Optimization to Invert Liquid Optical Constants[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2018, 16(4): 23.