Journal of Applied Physics · 1987 · 42 citations · 6 references
Natural SciencesComputational EngineeringComputational PhysicsHeat TransferThermal AnalysisInverse Heat TransferInverse ProblemsNumerical AlgorithmsNumerical AnalysisRadiative Heat TransferBlackbody RadiationIll-posed Inverse ProblemsIll-posed Problem RegularizationNoise-robust ReconstructionNumerical ModelingRadiative Inverse ProblemsRegularizationRegularization Techniques
The inverse blackbody radiation problem is the problem of determining the temperature distribution of a thermal radiator given its total radiated power spectum. Although several inversion methods have been developed, they have problems in practical implementation because of the necessity of Laplace inversion or due to their inherent ill-posedness. Here a numerical implementation which addresses these problems using Tikhonov’s regularization technique is demonstrated. This method overcomes the problem of ill-posedness in practical implementations and yet yields accurate results. Examples shown here include a robust reconstruction in the presence of noise corrupted data.
6