2016
Simultaneous determination of optical constants, local thickness and roughness of ZnSe thin films by imaging spectroscopic reflectometry
NEČAS, David, Ivan OHLÍDAL, Daniel FRANTA, M. OHLIDAL, J. VODAK et. al.Základní údaje
Originální název
Simultaneous determination of optical constants, local thickness and roughness of ZnSe thin films by imaging spectroscopic reflectometry
Autoři
NEČAS, David (203 Česká republika, garant, domácí), Ivan OHLÍDAL (203 Česká republika, domácí), Daniel FRANTA (203 Česká republika, domácí), M. OHLIDAL (203 Česká republika) a J. VODAK (203 Česká republika)
Vydání
Journal of Optics, Bristol, IOP Publishing, 2016, 2040-8978
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
10306 Optics
Stát vydavatele
Velká Británie a Severní Irsko
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 1.741
Kód RIV
RIV/00216224:14740/16:00087663
Organizační jednotka
Středoevropský technologický institut
UT WoS
000367187000025
Klíčová slova anglicky
thin films; roughness; scalar diffraction theory; spectrophotometry; imaging techniques; zinc selenide; reflectometry
Štítky
Změněno: 9. 3. 2017 11:03, Mgr. Eva Špillingová
Anotace
V originále
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.
Návaznosti
ED1.1.00/02.0068, projekt VaV |
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ED2.1.00/03.0086, projekt VaV |
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TA02010784, projekt VaV |
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