Presentation + Paper
20 March 2020 Noise fidelity in SEM simulation
Author Affiliations +
Abstract
The different typical noise components observed in SEMs are important aspects to image quality and thus performance, yet models for adding realistic noise to model-generated images is an area where improvement of SEM simulation is important for addressing critical IC industry applications. Understanding how realistic factors affect the achieved noise distribution is important to achieve realistic noise characteristic fidelity in simulated images with respect to experimental images. Achieving realistic noise is important to enable simulations to help address many industry issues, such as minimizing line edge roughness measurement uncertainty. In this work, JMONSEL will be used to simulate various test structures with many repeats to observe how the noise distribution changes spatially, which will allow us to understand the noise dependencies on material and local geometry, which should give insight into the possible need for more detailed attention to how noise is applied to analytically-generated images.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Benjamin D. Bunday "Noise fidelity in SEM simulation", Proc. SPIE 11325, Metrology, Inspection, and Process Control for Microlithography XXXIV, 113250R (20 March 2020); https://doi.org/10.1117/12.2559631
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Monte Carlo methods

Scanning electron microscopy

Image analysis

Stochastic processes

Image quality

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