In this study, an inverse calculation model based on the Levenberg–Marquardt optimization method with Tikhonov regularization to reconstruct temperature profiles and average concentrations from measured line-of-sight spectral intensity data is presented. The measured spectra were synthesized through calculations from high-temperature molecular spectroscopic database 2010, the high-temperature spectral database, for the and bands. Although it has been shown that Tikhonov regularization is suitable for ill-posed inverse problems, it is difficult to select an appropriate regularization parameter, especially for nonlinear problems. A new regularization selection method based on the combination of the L-curve criterion, and the discrepancy principle is proposed and shows good generality for different temperature profile inversions.
Temperature Profile Inversion from Carbon-Dioxide Spectral Intensities Through Tikhonov Regularization
Journal of Thermophysics and Heat Transfer ; 30 , 1 ; 211-218
2016-01-01
Conference paper , Article (Journal)
Electronic Resource
English
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