Focus system sensor characterisation by mechanistic-empirical modelling

Abstract

Focus system sensor characterisation involves the determination of physical quantities from experiment. Herewith an experimental model will need to specify how the sensor is expected to respond to input data and the quality of information obtained depends directly on the performance of the model. With this concern novel model building and solving techniques have been created for sensor comprehensive characterisation. These techniques incorporate a priori knowledge-based approach in mechanistic model elaboration and for attainment the enhanced level of adequacy, accuracy, and precision carry out the approximation of the exact unknown model simultaneously by available mechanistic and polynomial empirical functions. Two different approaches for mechanistic-empirical model solving have been fashioned. These techniques allow the achievement of the high degree of completeness in elaborated models. From models’ validation it has been found that the novel techniques in comparison with pure empirical modelling permit to attain less discrepancy to empirical evidence for the whole region of interest for concerned explanatory variables.