Acta Optica Sinica, Volume. 44, Issue 24, 2430002(2024)
Spectral Inversion Algorithm of Virtual Image Phase Array Spectrometer Based on Particle Swarm Optimization
Fig. 4. Spectral measurement images and spectral calibration results of polynomial method. (a) Pure N2 spectral image; (b) pure CO2 spectral image; (c) measured spectrum, theoretical absorption spectrum, and residual of pure CO2 in frequency axis calibrated by cubic polynomial; (d) local fitting plot and residual from 6988.25 cm-1 to 6988.70 cm-1
Fig. 5. Particle motion diagrams and corresponding spectral fitting diagrams under different iterations within 6988.25‒6988.70 cm-1. (a) Position of particle swarm at first iteration; (b) fitting plot and residual of global optimal position at first iteration; (c) position of particle swarm at 15th iteration; (d) fitting plot and residual of global optimal position at 15th iteration; (e) position of particle swarm at 30th iteration; (f) fitting plot and residual of global optimal position at 30th iteration
Fig. 7. Measured spectrum, theoretical absorption spectrum, and residual of pure CO2 after PSO peak correction
Fig. 8. Results of cubic polynomial fitting frequency axis solution and solution after particle swarm correction at 30% to 60% volume fraction
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BingXuan Lü, Weixiong Zhao, Hao Zhou, Weihua Cui, Bo Fang, Nana Yang, Weijun Zhang. Spectral Inversion Algorithm of Virtual Image Phase Array Spectrometer Based on Particle Swarm Optimization[J]. Acta Optica Sinica, 2024, 44(24): 2430002
Category: Spectroscopy
Received: Jan. 22, 2024
Accepted: Apr. 18, 2024
Published Online: Dec. 17, 2024
The Author Email: Zhao Weixiong (wxzhao@aiofm.ac.cn), Zhang Weijun (wjzhang@aiofm.ac.cn)
CSTR:32393.14.AOS240534