Real-time estimation of patterned wafer parameters using in situ spectroscopic ellipsometry

We analyze the problem of real-time thickness estimation for patterned wafers during an etching process using in situ spectroscopic ellipsometry. For that, a two-stage estimation algorithm is proposed. The first stage is an automatic model calibration algorithm that uses the data collected during an initial interval. The second stage is a nonlinear state estimation system designed for the tuned model. We study the sensitivity of this estimation strategy to variations in the wafer parameters and the process conditions.

[1]  Pramod P. Khargonekar,et al.  A learning and estimation problem arising from in situ control and diagnostics of manufacturing processes , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[2]  Cecilia Gabriela Galarza Learning and estimation theory for manufacturing systems applied to microelectronics manufacturing. , 1999 .

[3]  Fred L. Terry,et al.  Analysis of reflectometry and ellipsometry data from patterned structures , 1998 .

[4]  Tyrone L. Vincent,et al.  A new algorithm for real-time thin film thickness estimation given in situ multiwavelength ellipsometry using an extended Kalman filter , 1998 .

[5]  Eduardo D. Sontag,et al.  Vapnik-Chervonenkis Dimension of Recurrent Neural Networks , 1997, Discret. Appl. Math..

[6]  Tyrone L. Vincent,et al.  End Point and Etch Rate Control Using Dual‐Wavelength Laser Reflectometry with a Nonlinear Estimator , 1997 .

[7]  David E. Aspnes,et al.  Real-time optical analysis and control of semiconductor epitaxy: Progress and opportunity , 1997 .

[8]  J.T.-C. Lee,et al.  Multiwavelength ellipsometry for real-time process control of the plasma etching of patterned samples , 1997 .

[9]  Fred L. Terry,et al.  In-situ spectroscopic reflectometry for polycrystalline silicon thin film etch rate determination during reactive ion etchinc , 1996 .

[10]  J. Bajaj,et al.  In‐situ estimation of MOCVD growth rate via a modified Kalman filter , 1996 .

[11]  Tyrone L. Vincent,et al.  An Extended Kalman Filter Based Method for Fast In-Situ Etch Rate Measurements , 1995 .

[12]  P. Heimann,et al.  Optical Etch‐Rate Monitoring: Computer Simulation of Reflectance , 1984 .

[13]  John E. Dennis,et al.  Numerical methods for unconstrained optimization and nonlinear equations , 1983, Prentice Hall series in computational mathematics.

[14]  J. J. Moré,et al.  Levenberg--Marquardt algorithm: implementation and theory , 1977 .

[15]  Jorge J. Moré,et al.  The Levenberg-Marquardt algo-rithm: Implementation and theory , 1977 .