基于波导CO_2激光器光声光谱仪的性能优化

Multi-gas photoacoustic spectrum analysis of nonlinear fitting method

采用激光腔内光声光谱技术分析微量气体含量,通过对实验数据的L-M拟合处理,结果有效地消除了混合气体中CO2气体对其他气体浓度检测结果的影响,这种方法拟补了线性拟合的缺陷,进一步优化了基于波导CO2激光器光声光谱仪的性能.

In this paper, we adopt a photoacoustic spectrum technique to analysis the trace element of the air inside laser. By L-M fitting method to handle experiment data, we remove the influence of CO2 on other components in mixed gas. It compensates the limitation of the linear fitting method and improves the function of wave guide CO2-laser photoacoustic spectrometer.