Method to budget and optimize total device overlay

Christopher J. Progler; Scott J. Bukofsky; Donald C. Wheeler

doi:10.1117/12.354331

Abstract

We combine lithographic simulation, experimental data and statistical modeling to build a predictive estimator of total device overlay. To generate accurate predictions of total overlay, we include error estimates on lens image placement, CD control, reticle and exposure tool alignment. Instead of combining these errors in ad hoc root sum square fashion to make overlay estimates, we construct a physical model of the device and metrology marker edge placement processes. The model comprehends the differential placement of metrology structures and device features due to lens and illumination system asymmetries and is therefore applicable to the evaluation of arbitrary illumination and pattern geometry conditions. Since we attempt to model the relative placement distribution of specific device features, the model produces overlay estimates that are directly relevant for device performance. The comparison of our total overlay estimate to device overlay sensitivity data allows a projection of the overlay related yield loss for a given device, process and tools et. Finally, our model allows the process engineer to made informative choices on the optimum error sources to pursue for improving overlay.

Citation Download Citation

Christopher J. Progler, Christopher J. Progler, Scott J. Bukofsky, Scott J. Bukofsky, Donald C. Wheeler, Donald C. Wheeler, } "Method to budget and optimize total device overlay", Proc. SPIE 3679, Optical Microlithography XII, (26 July 1999); doi: 10.1117/12.354331; https://doi.org/10.1117/12.354331

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years