PROCEEDINGS ARTICLE | March 14, 2008
Proc. SPIE. 6922, Metrology, Inspection, and Process Control for Microlithography XXII
KEYWORDS: Diffraction, Metrology, Optical lithography, Detection and tracking algorithms, Imaging systems, Sensors, Image processing, Spectroscopy, Scatterometry, Overlay metrology
Resolution enhancement in advanced optical lithography will reach a new plateau of complexity at the 32 nm design rule
manufacturing node. In order to circumvent the fundamental optical resolution limitations, ultra low k1 printing
processes are being adopted, which typically involve multiple exposure steps. Since alignment performance is not
fundamentally limited by resolution, it is expected to yield a greater contribution to the effort to tighten lithographic error
budgets. In the worst case, the positioning budget usually allocated to a single patterning step is divided between two. A
concurrent emerging reality is that of high order overlay modeling and control. In tandem with multiple exposures, this
trend creates great pressure to reduce scribeline target real estate per exposure. As the industry migrates away from
metrology targets formed from large isolated features, the adoption of dense periodic array proxies brings improved
process compatibility and information density as epitomized by the AIM target1. These periodic structures enable a
whole range of new metrology sensor architectures, both imaging and scatterometry based, that rely on the principle of
diffraction order control and which are no longer aberration limited. Advanced imaging techniques remain compatible
with side-by-side targets while scatterometry methods require grating-over-grating targets. In this paper, a number of
different imaging and scatterometry architectures are presented and compared in terms of random errors, systematic
errors and scribespace requirements. It is asserted that an optimal solution must combine the TMU peak performance
capabilities of scatterometry with the cost of ownership advantages of target size and multi-layer capabilities of imaging.
