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Patent

Advanced roughness metrology

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TLDR
In this paper, a non-circular non-linear shape is fitted to the plurality of points on an edge of the feature in the image and a roughness parameter for the feature is computed in response to the respective distances.
Abstract
A method for evaluating a feature, consisting of receiving an image of the feature and determining respective coordinates of a plurality of points on an edge of the feature in the image. A figure having a non-circular non-linear shape is fitted to the plurality of points, and respective distances between the plurality of points and the figure are determined. A roughness parameter for the feature is computed in response to the respective distances. The method finds application in the analysis of critical dimensions (CD) of integrated circuits and, particularly, in the measurement of the edge roughness of their features and components as imaged by means of eg. The electron scanning microscopy (SEM).

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Citations
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References
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Journal ArticleDOI

Surface roughness prediction in the turning of high-strength steel by factorial design of experiments

TL;DR: In this paper, the results reveal that response surface methodology combined with factorial design of experiments is a better alternative to the traditional one-variable at-a-time approach for studying the effects of cutting variables on responses such as surface roughness and tool life.
Journal ArticleDOI

Quantification of line-edge roughness of photoresists. II. Scaling and fractal analysis and the best roughness descriptors

TL;DR: Patsis et al. as mentioned in this paper analyzed the detected line edges as found from scanning electron microscope (SEM) image analysis using scaling and fractal concepts and showed that the majority of analyzed experimental edges exhibit a self-affine character and thus the suggested parameters for the description of their roughness should be: (1) the sigma value, (2) the correlation length, and (3) the roughness exponent α.
Journal ArticleDOI

Comparison of metrology methods for quantifying the line edge roughness of patterned features

TL;DR: In this paper, the edge roughness of patterned features in resist and silicon is quantified using atomic force microscopes and scanning electron microscopes. And the parameters that limit the edge coarseness measurement and how they compare to the parameters of critical dimension measurement are discussed.
Journal ArticleDOI

Line edge roughness: experimental results related to a two-parameter model

TL;DR: In this article, a two-parameter model based on a first-order autoregressive process was proposed to describe line edge roughness (LER) and the impact of this model on the LER and critical dimension variation description was determined.
Proceedings ArticleDOI

CD-SEM measurement line-edge roughness test patterns for 193 nm lithography

TL;DR: The AMAG group has designed and built a 193 nm reticle that includes structures implementing a number of schemes to intentionally cause line edge roughness of various spatial frequencies and amplitudes as discussed by the authors.