Restoration of rotating Fourier transform ultraviolet Raman spectrum with a time sequences trigger method

Haitao Guo; Ming Tang

doi:10.1117/12.2683101

24 May 2023 Restoration of rotating Fourier transform ultraviolet Raman spectrum with a time sequences trigger method

Haitao Guo, Ming Tang

Proceedings Volume 12706, First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023); 127060Y (2023) https://doi.org/10.1117/12.2683101
Event: First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023), 2023, Shanghai, China

Abstract

Rotating Fourier transform ultraviolet Raman spectrometer (RFTURS) is an ideal and valuable tool for atmospheric CO₂ detection. However, due to the short excitation wavelength and the nonlinear relationship between the optical path difference (OPD) and the rotating angle, it is difficult for RFTURS to produce linear interference signals. This paper proposes a time sequences trigger (TST) method to realize linear sampling of interference signals. Specifically, time sequences are designed at equidistant OPD intervals as external clocking signals to trigger the data acquisition (DAQ) card to sample interference signals. High angular resolution and precise time sequences are obtained by using a gearbox to work at low speed as well as detecting the OPD zero via a sensor, respectively. By a simulation spectrum and white light, the method was tested and ultimately obtained the expected restored spectrum, which addresses the current drawbacks such as large error of the non-uniform fast Fourier transform (NUFFT) method and the subsampling method, and unsuitable work conditions of the reference laser method performing at the UV. This work provides significant guidance for field measurement of atmospheric CO₂ by RFTURS.

Citation Download Citation

Haitao Guo and Ming Tang "Restoration of rotating Fourier transform ultraviolet Raman spectrum with a time sequences trigger method", Proc. SPIE 12706, First International Conference on Spatial Atmospheric Marine Environmental Optics (SAME 2023), 127060Y (24 May 2023); https://doi.org/10.1117/12.2683101

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KEYWORDS

Optical path differences

Mirrors

Raman spectroscopy

Signal detection

Data acquisition

Fourier transforms

Sensors

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