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Rapid Quantitative Analysis of IR Absorption Spectra for Trace Gas Detection by Artificial Neural Networks Trained with Synthetic Data

Infrared absorption spectroscopy is a widely used tool to quantify and monitor compositions of gases. The concentration information is often retrieved by fitting absorption profiles to the acquired spectra, utilizing spectroscopic databases. In complex gas matrices an expanded parameter space leads...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Jens Goldschmidt, Leonard Nitzsche, Sebastian Wolf, Armin Lambrecht, Jürgen Wöllenstein
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-01-01
Schriftenreihe:Sensors
Schlagworte:
spectral analysis
quantitative gas analysis
machine learning
artificial neural networks
dual comb spectroscopy
broadband spectroscopy
Online-Zugang:https://www.mdpi.com/1424-8220/22/3/857
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