HYPERSPECTRAL IMAGING AS AN ANALYTICAL TOOL FOR THIN SINGLE AND MULTILAYER OXIDES CHARACTERIZATION

Shu Hui Ham 1, 2, 3 Morgan Ferie 1 Cédric Carteret 2 Gabriel Fricout 1 Jesus Angulo 3
1 Arcelor Mittal - Research and Development (FRANCE)
2 LCPME - Laboratoire de Chimie Physique et Microbiologie pour l'Environnement
3 CMM - Centre de Morphologie Mathématique
Abstract : Characterization of deposited thin oxide layers using conventional laboratory techniques such as ellipsometry and FTIR requires long sampling time. The hyperspectral technology with a high acquisition rate appears to be an interesting solution for high throughput quantification. To check its capability for this purpose, we develop an analysis protocol in the laboratory using this device to measure thin oxide layers. In this paper we study the acquisition setup regarding the incidence angle in reflection mode, the relation of layer thickness and measured signal to enable the quantification and identification of deposited Al 2 O 3 and SiO 2. Analysis results from FTIR, hyperspectral camera and ellipsometry are presented along with calculations based on Fresnel equations. Measured results correspond with the expected theoretical spectra. The study of the detection sensitivity also extends to multilayer oxide. Overall, the capability of the hyperspectral camera to detect nanometric oxide layers is demonstrated. With this conclusion and in combination with its many advantages, the hyperspectral camera could be used for dynamic analysis of oxide layer.
Keywords : Index Terms—Molecular vibration hyperspectral technology thin oxide layer spectra calculation
Type de document :
Communication dans un congrès
2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Aug 2016, Los Angeles, France. IEEE, 〈10.1109/WHISPERS.2016.8071737〉
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Shu Hui Ham, Morgan Ferie, Cédric Carteret, Gabriel Fricout, Jesus Angulo. HYPERSPECTRAL IMAGING AS AN ANALYTICAL TOOL FOR THIN SINGLE AND MULTILAYER OXIDES CHARACTERIZATION. 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Aug 2016, Los Angeles, France. IEEE, 〈10.1109/WHISPERS.2016.8071737〉. 〈hal-01688896〉

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