Temperature estimation of carbon dioxide by infrared absorption spectrometry at medium resolution

Computer Science

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Absorption Spectroscopy, Carbon Dioxide, Gas Temperature, Infrared Spectroscopy, Temperature Measurement, Absorption Spectra, Least Squares Method, Regression Analysis, Spectral Bands

Scientific paper

A method for estimating the temperature of a sample CO2 gas heated above ambient temperature is evaluated. A nonlinear, least-squares regression fit for the peak absorbance of the rotation-vibration lines of the hot bands of CO2 was obtained for samples at temperatures from 90 to 190 C and at pressures from 200 to 650 torr. The IR spectra of CO2 gas samples in a 1 m cell were collected using a Fourier-transform IR spectrometer. The spectral resolution was sufficient to resolve the rotational fine structure of these bands. However, it was necessary to account for the effect of limited instrument resolution in fitting the data. The temperatures retrieved from the regression were compared with the temperature of the sample. Good agreement was obtained between the directly measured temperature and the value determined spectroscopically. The sensitivity of the fitting program to increased noise in the spectrum was also studied.

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