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            Development and Characterization of a Dispersion-Encoded Method for Low-Coherence Interferometry

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            Auteur
            Taudt, Christopher
            Language
            English
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            Résumé
            This Open Access book discusses an extension to low-coherence interferometry by dispersion-encoding. The approach is theoretically designed and implemented for applications such as surface profilometry, polymeric cross-linking estimation and the determination of thin-film layer thicknesses. During a characterization, it was shown that an axial measurement range of 79.91 µm with an axial resolution of 0.1 nm is achievable. Simultaneously, profiles of up to 1.5 mm in length were obtained in a scan-free manner. This marked a significant improvement in relation to the state-of-the-art in terms of dynamic range. Also, the axial and lateral measurement range were decoupled partially while functional parameters such as surface roughness were estimated. The characterization of the degree of polymeric cross-linking was performed as a function of the refractive index. It was acquired in a spatially-resolved manner with a resolution of 3.36 x 10-5. This was achieved by the development of a novel mathematical analysis approach.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/177383
            Keywords
            surface metrology; profilometry; interferometry; low-coherence interferometry; semiconductor manufacturing; optical metrology; Open Access; thema EDItEUR::P Mathematics and Science::PH Physics::PHJ Optical physics; thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDD Scientific standards, measurement etc
            DOI
            10.1007/978-3-658-35926-3
            ISBN
            9783658359263
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Bern, 2022
            Imprint
            Springer Vieweg
            Pages
            163
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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