Share Email Print

Proceedings Paper

Determination of optimal parameters for CD-SEM measurement of line-edge roughness
Author(s): Benjamin D. Bunday; Michael Bishop; Donald W. McCormack Jr.; John S. Villarrubia; Andras E. Vladar; Ronald Dixson; Theodore V. Vorburger; N. George Orji; John A. Allgair
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The measurement of line-edge roughness (LER) has recently become a topic of concern in the litho-metrology community and the semiconductor industry as a whole. The Advanced Metrology Advisory Group (AMAG), a council composed of the chief metrologists from the International SEMATECH (ISMT) consortium’s Member Companies and from the National Institute of Standards and Technology (NIST), has a project to investigate LER metrics and to direct the critical dimension scanning electron microscope (CD-SEM) supplier community towards a semiconductor industry-backed, standardized solution for implementation. The 2003 International Technology Roadmap for Semiconductors (ITRS) has included a new definition for roughness. The ITRS envisions root mean square measurements of edge and width roughness. There are other possible metrics, some of which are surveyed here. The ITRS envisions the root mean square measurements restricted to roughness wavelengths falling within a specified process-relevant range and with measurement repeatability better than a specified tolerance. This study addresses the measurement choices required to meet those specifications. An expression for the length of line that must be measured and the spacing of measurement positions along that length is derived. Noise in the image is shown to produce roughness measurement errors that have both random and nonrandom (i.e., bias) components. Measurements are reported on both UV resist and polycrystalline silicon in special test patterns with roughness typical for those materials. These measurements indicate that the sensitivity of a roughness measurement to noise depends importantly both on the choice of edge detection algorithm and the quality of the focus. Measurements are less sensitive to noise when a model-based or sigmoidal fit algorithm is used and when the images are in good focus. Using the measured roughness characteristics for UV resist lines and applying the ITRS requirements for the 90 nm technology node, the derived expression for sampling length and sampling interval implies that a length at least 8 times the node (i.e., 720 nm) must be measured at intervals of 7.5 nm or less.

Paper Details

Date Published: 24 May 2004
PDF: 19 pages
Proc. SPIE 5375, Metrology, Inspection, and Process Control for Microlithography XVIII, (24 May 2004); doi: 10.1117/12.535926
Show Author Affiliations
Benjamin D. Bunday, International SEMATECH (United States)
Michael Bishop, International SEMATECH (United States)
Donald W. McCormack Jr., International SEMATECH (United States)
John S. Villarrubia, National Institute of Standards and Technology (United States)
Andras E. Vladar, National Institute of Standards and Technology (United States)
Ronald Dixson, National Institute of Standards and Technology (United States)
Theodore V. Vorburger, National Institute of Standards and Technology (United States)
N. George Orji, National Institute of Standards and Technology (United States)
John A. Allgair, Motorola (United States)
International SEMATECH (United States)

Published in SPIE Proceedings Vol. 5375:
Metrology, Inspection, and Process Control for Microlithography XVIII
Richard M. Silver, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?