Paper
2 April 2014 Real-time inspection system utilizing scatterometry pupil data
Author Affiliations +
Abstract
Scatterometry-based CD, also known as Optical CD (OCD) significantly matches CD-SEM in accuracy and precision, in addition to offering superior full-profile reconstruction. OCD, however, is computationally intensive. In this paper, we construct an extremely fast screening tool that determines whether a sample should or should not proceed to subsequent manufacturing steps. To this end we examine the diffraction signals of the grating in order to determine whether a sample is in or out of its specification limits. This allows us to allocate traditional metrology resources only on samples that show unusual behavior. Support vector machines (SVM) are trained to classify each incoming sample as in-spec or outof- spec. The constructed classifier is applied to gratings exposed with a focus-exposure matrix for a rectangular silicon- BARC-photoresist stack, which include erroneous samples with under-over exposure, necking, and bridging problems. The misclassification rates as well as false and missed alarm rates are analyzed. Results show that our prototype screening system has misclassification errors on the order of 5-10 %, while the computation time is on the order of one vector dot product.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jae Yeon Baek, Philippe Leray, Anne-Laure Charley, and Costas J. Spanos "Real-time inspection system utilizing scatterometry pupil data", Proc. SPIE 9050, Metrology, Inspection, and Process Control for Microlithography XXVIII, 905019 (2 April 2014); https://doi.org/10.1117/12.2046518
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Cited by 1 scholarly publication.
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KEYWORDS
Scatterometry

Finite element methods

Inspection

Metrology

Diffraction gratings

Diffraction

Scanning electron microscopy

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