Artificial Neural Network-assisted MIR gas spectroscopy to eliminate detrimental temperature-induced spectral shifts

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Author
Chin, Sanghoon
Van Zaen, Jérôme
Muntane, Enric
Denis, Séverine
Schröder, Stephan
Martin, Hans
Lecomte, Steve
Balet, Laurent
Abstract
We applied an artificial neural network to a mid-infrared trace gas sensing system to completely compensate the detrimental thermally-induced spectral shift of the spectrometer, improving the accuracy of the retrieved gas concentration.
Publication Reference
Optical Sensors 2023, Munich (DE), pp. STu2D.5
Year
2023-08-01
Sponsors
This project has received funding from Horizon 2020, the European Union’s Framework Program for Research and Innovation, under grant agreement No.101015825 (TRIAGE).