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Issues in Line Edge and Linewidth Roughness Metrology
Author(s) -
John S. Villarrubia
Publication year - 2005
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.2062992
Subject(s) - root mean square , surface finish , laser linewidth , noise (video) , optics , enhanced data rates for gsm evolution , measurement uncertainty , surface roughness , spectral density , line (geometry) , metric (unit) , metrology , amplitude , materials science , computer science , statistics , physics , mathematics , geometry , computer vision , laser , image (mathematics) , operations management , quantum mechanics , composite material , economics
In semiconductor electronics applications, line edge and linewidth roughness are generally measured using a root mean square (RMS) metric. The true value of RMS roughness depends upon the length of edge or line that is measured and the chosen sampling interval. Additionally, the true value is obscured by a number of measurement errors: Different finite‐length sections of line have randomly differing roughnesses, producing a sampling error, the expected magnitude of which depends upon the length of line that is sampled and details of its roughness power spectrum. Noise in the microscope images from which roughness is computed results in both a random measurement error and a non‐random measurement bias. These issues and proposed solutions in the literature are reviewed. It is also suggested that there may be a plausible role for non‐RMS metrics, for example estimation of the likelihood of width or edge position extremes based upon direct measurements of the roughness amplitude density function.

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