The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 10, 2026

Filed:

Sep. 11, 2023
Applicant:

Kla Corporation, Milpitas, CA (US);

Inventors:

Brian C. Lin, Zhubei, TW;

David Wu, Zhubei, TW;

Song Wu, Shanghai, CN;

Tianrong Zhan, Shanghai, CN;

Emily Chiu, Zhubei, TW;

Andrew Lagodzinski, Livermore, CA (US);

Assignee:

KLA Corporation, Milpitas, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01N 21/95 (2006.01); G01N 21/31 (2006.01); G01N 21/47 (2006.01);
U.S. Cl.
CPC ...
G01N 21/9505 (2013.01); G01N 21/31 (2013.01); G01N 21/4738 (2013.01); G01N 2201/127 (2013.01);
Abstract

Methods and systems for calibrating simulated measurement signals generated by a parametric measurement model are described herein. Regression on real measurement signals is performed using a parametric model. The residual fitting error between the real measurement signals and simulated measurement signals generated by the parametric model characterizes the error of the parametric model at each set of estimated values of the one or more floating parameters. Simulated measurement signals are generated by the parametric model at specified values of the floating parameters. A residual fitting error associated with the simulated measurement signals generated at the specified values of the floating parameters is derived from the residual fitting errors calculated by the regression on the real measurement signals. The simulated measurement signals are calibrated by adding the residual fitting error to the uncalibrated, simulated measurement signals. The calibrated, simulated measurement signals improve the accuracy of measurements and measurement recipe development.


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