Practical application of aerial image by principal component analysis to measure wavefront aberration of lithographic lens

Lifeng Duan; Xiangzhao Wang; Guanyong Yan; Anatoly Y. Bourov

doi:10.1117/1.JMM.11.2.023009

7 June 2012 Practical application of aerial image by principal component analysis to measure wavefront aberration of lithographic lens

Lifeng Duan, Xiangzhao Wang, Guanyong Yan, Anatoly Y. Bourov

Author Affiliations +

Journal of Micro/Nanolithography, MEMS, and MOEMS, Vol. 11, Issue 2, 023009 (June 2012). https://doi.org/10.1117/1.JMM.11.2.023009

Abstract

In this paper, we propose a new method that can extract aberrations using aerial image measurements and present its experimental results on lithographic tools. Based on physical simulation and statistical analysis, a linear regression matrix is obtained establishing a connection between principal component coefficients of specific aerial images and Zernike coefficients. In the application phase, the aberrations of the projection lens are solved via the use of this regression matrix. An engineering model is established based on an extension of theoretical model that incorporates all the significant systematic errors. The performance of the engineering model as applied on a 0.75 NA ArF scanner is reported. In the experiment, measurement marks oriented in orthogonal directions are used and aerial images at 9 field points are measured. To verify the repeatability of this technique, every point is measured 20 times. By inputting the aerial images into the engineering model, Zernike coefficients are solved and the results are analyzed. The wafer exposures were performed to evaluate the results of aberration correction.

Citation Download Citation

Lifeng Duan, Xiangzhao Wang, Guanyong Yan, and Anatoly Y. Bourov "Practical application of aerial image by principal component analysis to measure wavefront aberration of lithographic lens," Journal of Micro/Nanolithography, MEMS, and MOEMS 11(2), 023009 (7 June 2012). https://doi.org/10.1117/1.JMM.11.2.023009

Published: 7 June 2012

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

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