Quantification and reduction of Poisson-Gaussian mixed noise induced errors in ellipsometry

Ellipsometry is an important metrology tool in a plethora of industries. The measurement accuracy can be significantly affected by the existence of Poisson-Gaussian mixed noise. This paper quantifies the induced error on normalized Mueller matrix measurements through statistical analysis. A method i...

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Bibliographic Details
Main Authors: Jiang, Bo (Author), Meng, Kai (Author), Youcef-Toumi, Kamal (Author)
Format: Article
Language:English
Published: The Optical Society, 2022-01-27T13:36:27Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Jiang, Bo  |e author 
700 1 0 |a Meng, Kai  |e author 
700 1 0 |a Youcef-Toumi, Kamal  |e author 
245 0 0 |a Quantification and reduction of Poisson-Gaussian mixed noise induced errors in ellipsometry 
260 |b The Optical Society,   |c 2022-01-27T13:36:27Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/139762 
520 |a Ellipsometry is an important metrology tool in a plethora of industries. The measurement accuracy can be significantly affected by the existence of Poisson-Gaussian mixed noise. This paper quantifies the induced error on normalized Mueller matrix measurements through statistical analysis. A method is then proposed to mitigate the effects of Poisson-Gaussian noise in spectroscopic ellipsometry signal demodulation, based on maximum likelihood estimation. The noise is characterized through experiments on an in-house setup. The improved performance of dimension reconstruction from the proposed method is demonstrated through simulations. 
546 |a en 
655 7 |a Article 
773 |t 10.1364/OE.432793 
773 |t Optics Express