MEASUREMENT RECIPE OPTIMIZATION BASED ON PROBABILISTIC DOMAIN KNOWLEDGE AND PHYSICAL REALIZATION

摘要

Methods and systems for training and implementing metrology recipes based on performance metrics are employed to quantitatively characterize the measurement performance of a metrology system in a particular measurement application. Performance metrics are employed to regularize the optimization process employed during measurement model training, model-based regression, or both.