An improved particle swarm optimization algorithm for cavity-enhanced absorption spectroscopy

Rifan Xie; Shiyu Guan; Zhongqi Tan

doi:10.1117/12.3047663

13 December 2024 An improved particle swarm optimization algorithm for cavity-enhanced absorption spectroscopy

Rifan Xie, Shiyu Guan, Zhongqi Tan

Proceedings Volume 13503, AOPC 2024: Biomedical Optics; 1350306 (2024) https://doi.org/10.1117/12.3047663
Event: Applied Optics and Photonics China 2024 (AOPC2024), 2024, Beijing, China

Abstract

Cavity-enhanced absorption spectroscopy (CEAS) has become increasingly important in gas detection for air pollutants, human breath gases analysis, and monitoring industrial processes. However, the accuracy and sensitivity of CEAS are limited by noise and function optimization algorithms. To solve this problem, An improved particle swarm optimization (PSO) algorithm for CEAS was developed in this paper. The sensitivity of CEAS can be improved by combining various noise reduction filtering algorithms with PSO. Compared with traditional nonlinear fitting algorithms, the absorption coefficient can be achieved to 1.06×10^-8 cm^-1, with a minimum detectable limit of 5.31ppm, which is improved by 2.2 times. This research contributes to enhancing the precision of trace gas detection.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rifan Xie, Shiyu Guan, and Zhongqi Tan "An improved particle swarm optimization algorithm for cavity-enhanced absorption spectroscopy", Proc. SPIE 13503, AOPC 2024: Biomedical Optics, 1350306 (13 December 2024); https://doi.org/10.1117/12.3047663

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