Litcius/Paper detail

Correlation of errors in inverse problems of optical coatings monitoring

И. В. Кочиков, S. A. Sharapova, A. G. Yagola, Alexander V. Tikhonravov

2020Journal of Inverse and Ill-Posed Problems17 citationsDOI

Abstract

Abstract On-line optical monitoring of multilayer coating production requires solving inverse identification problems of determining the thicknesses of coating layers. Regardless of the algorithm used to solve inverse problems, the errors in the thicknesses of the deposited layers are correlated by the monitoring procedure. Studying the correlation of thickness errors is important for the production of the most complex optical coatings. We develop a general geometric approach to study this correlation. It is based on a statistical analysis of large numbers of error vectors obtained during computational experiments on optical coating production. The application of the proposed approach is demonstrated using computational manufacturing experiments on the production of a 50-layer filter with four different monitoring strategies. A special coefficient is introduced to evaluate the strength of the error correlation effect. The results obtained confirm that the introduced parameter can be used as a measure of the strength of the correlation effect in practical applications.

Topics & Concepts

InverseCoatingCorrelation coefficientInverse problemCorrelationFilter (signal processing)AlgorithmMeasure (data warehouse)Computer scienceLayer (electronics)Inverse filterMathematicsMaterials scienceStatisticsData miningMathematical analysisComputer visionComposite materialGeometryAdvanced Measurement and Metrology TechniquesOptical measurement and interference techniquesSurface Roughness and Optical Measurements