Sensitivity of scanning electron microscope width measurements to model assumptions

John S. Villarrubia; Zejun J. Ding

doi:10.1117/1.3190168

1 July 2009 Sensitivity of scanning electron microscope width measurements to model assumptions

John S. Villarrubia, Zejun J. Ding

Author Affiliations +

Journal of Micro/Nanolithography, MEMS, and MOEMS, Vol. 8, Issue 3, 033003 (July 2009). https://doi.org/10.1117/1.3190168

Abstract

The most accurate width measurements in a scanning electron microscope (SEM) require raw images to be corrected for instrumental artifacts. Corrections are based on a physical model that describes the sample-instrument interaction. Models differ in their approaches or approximations in the treatment of scattering cross sections, secondary electron generation, material properties, scattering at the surface potential barrier, etc. Corrections that use different models produce different width estimates. We have implemented eight models in the Java Monte Carlo simulator for secondary electrons (JMONSEL) SEM simulator. Two are phenomenological models based on fitting measured yield versus energy curves. Two are based on a binary scattering model. Four are variants of a dielectric function approach. These models are compared to each other in pairwise simulations in which the output of one model is fit to the other by using adjustable parameters similar to those used to fit measured data. The differences in their edge position parameters is then a measure of how much these models differ with respect to a width measurement. With electron landing energy, beam width, and other parameters typical of those used in industrial critical dimension measurements, the models agreed to within ±2.0 nm on silicon and ±2.6 nm on copper in 95% of comparisons.

©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)

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John S. Villarrubia and Zejun J. Ding "Sensitivity of scanning electron microscope width measurements to model assumptions," Journal of Micro/Nanolithography, MEMS, and MOEMS 8(3), 033003 (1 July 2009). https://doi.org/10.1117/1.3190168

Published: 1 July 2009

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