Abstract
A real-time selective plasma light intensity measurement technique involving optical emission spectroscopy (OES) is proposed for process uniformity monitoring and detection in various plasma regions during semiconductor processing. Among plasma diagnostic techniques, OES is a noncontact plasma measurement technique for process end point and plasma abnormality detection that does not cause any process damage. Therefore, it is mostly used in all plasma-based tools. However, conventional OES systems are incapable of real-time plasma uniformity detection at specific OES sampling times, and therefore, there is a need for improving them. In this study, we show that selective plasma light intensity, including those on the left and right sides of a process chamber, can be measured with transparent-LCD-module-adapted conventional OES for determining process uniformity. The proposed technique can be used to measure the selective plasma light intensity in specific regions of the process chamber, such as the center and edge regions of a wafer, and to thereby analyze the plasma process uniformity.
Original language | English |
---|---|
Article number | 9170607 |
Pages (from-to) | 2256-2262 |
Number of pages | 7 |
Journal | IEEE Sensors Journal |
Volume | 21 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2021 Jan 15 |
Bibliographical note
Funding Information:Manuscript received July 12, 2020; revised August 10, 2020; accepted August 12, 2020. Date of publication August 18, 2020; date of current version December 16, 2020. This work was supported by the Joint Program for Samsung Electronics-Yonsei University. The associate editor coordinating the review of this article and approving it for publication was Dr. Ioannis Raptis. (Corresponding author: Ilgu Yun.) In Joong Kim and Dongseok Shin were with the Department of Electrical Engineering, Yonsei University, Seoul 03722, South Korea. They are now with Samsung Electronics, Hwaseong, South Korea (e-mail: kiminjoong@yonsei.ac.kr; nathan89@yonsei.ac.kr).
Funding Information:
This work was supported by the Joint Programfor SamsungElectronics-Yonsei University.
Publisher Copyright:
© 2001-2012 IEEE.
All Science Journal Classification (ASJC) codes
- Instrumentation
- Electrical and Electronic Engineering