Optical scatterometry by use of a neural network is now recognized as an efficient method for retrieving dimensions of gratings in semiconductors or glasses. For an on-line control, a small number of measurements and a rapid data treatment are needed. We demonstrate that these requirements can be met by combining data preprocessing and a proper neural learning method. A good accuracy is attainable with the measurement of only a few orders, even in the presence of experimental errors, with a reduction in learning and computing time.
© 2002 Optical Society of America
Original Manuscript: January 15, 2001
Revised Manuscript: April 24, 2001
Manuscript Accepted: April 24, 2001
Published: January 1, 2002
Stéphane Robert, Alain Mure-Ravaud, and Dominique Lacour, "Characterization of optical diffraction gratings by use of a neural method," J. Opt. Soc. Am. A 19, 24-32 (2002)