Simultaneous determination of optical constants, local thickness and roughness of ZnSe thin films by imaging spectroscopic reflectometry

Investor logo
Investor logo
Investor logo

Warning

This publication doesn't include Faculty of Sports Studies. It includes Central European Institute of Technology. Official publication website can be found on muni.cz.
Authors

NEČAS David OHLÍDAL Ivan FRANTA Daniel OHLIDAL M. VODAK J.

Year of publication 2016
Type Article in Periodical
Magazine / Source Journal of Optics
MU Faculty or unit

Central European Institute of Technology

Citation
Web http://iopscience.iop.org/article/10.1088/2040-8978/18/1/015401/meta
Doi http://dx.doi.org/10.1088/2040-8978/18/1/015401
Field Optics, masers and lasers
Keywords thin films; roughness; scalar diffraction theory; spectrophotometry; imaging techniques; zinc selenide; reflectometry
Description A rough non-uniform ZnSe thin film on a GaAs substrate is optically characterised using imaging spectroscopic reflectometry (ISR) in the visible, UV and near IR region, applied as a standalone technique. A global-local data processing algorithm is used to fit spectra from all pixels together and simultaneously determine maps of the local film thickness, roughness and overlayer thickness as well as spectral dependencies of film optical constants determined for the sample as a whole. The roughness of the film upper boundary is modelled using scalar diffraction theory (SDT), for which an improved calculation method is developed to process the large quantities of experimental data produced by ISR efficiently. This method avoids expensive operations by expressing the series obtained from SDT using a double recurrence relation and it is shown that it essentially eliminates the necessity for any speed-precision trade-offs in the SDT calculations. Comparison of characterisation results with the literature and other techniques shows the ability of multi-pixel processing to improve the stability and reliability of least-squares data fitting and demonstrates that standalone ISR, coupled with suitable data processing methods, is viable as a characterisation technique, even for thin films that are relatively far from ideal and require complex modelling.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info