Paper
5 October 2023 Opportunities of polarization-resolved EUV scatterometry on photomasks
Victor Soltwisch, Till Biskup, Michael Kolbe, Frank Scholze
Author Affiliations +
Proceedings Volume 12802, 38th European Mask and Lithography Conference (EMLC 2023); 128020G (2023) https://doi.org/10.1117/12.2675921
Event: 38th European Mask and Lithography Conference, 2023, Dresden, Germany
Abstract
The development of EUV scatterometry, as a potentially interesting option for the characterization of photomasks, has made significant progress in the last decade. The at-wavelength performance is directly assessed, and the measurements are potentially fast, a relevant precondition for the development of production-worthy instruments. However, an accurate prediction of the imaging properties requires a high effort in simulation and the precise determination of fundamental parameters such as the optical constants to correctly model the interaction of the EUV radiation with the nano-structured EUV mask. Another possibility to further increase the sensitivity and minimize the uncertainties in the reconstruction could be a polarization-resolved analysis of the scattered EUV radiation. The high degree of linear polarization of the beamline is ideal for investigating this question. However, it remains to be proven whether the additional measurement effort leads to a reduction of the uncertainties in the geometric reconstruction of the nanostructures. Besides theoretical modeling addressing this question, we also present benchmark measurements performed by PTB at the soft X-ray beamline of BESSY II.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Victor Soltwisch, Till Biskup, Michael Kolbe, and Frank Scholze "Opportunities of polarization-resolved EUV scatterometry on photomasks", Proc. SPIE 12802, 38th European Mask and Lithography Conference (EMLC 2023), 128020G (5 October 2023); https://doi.org/10.1117/12.2675921
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KEYWORDS
Extreme ultraviolet

Scatterometry

Diffraction

Photomasks

X-rays

Polarization

Modeling

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