Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7674078 | Spectrochimica Acta Part B: Atomic Spectroscopy | 2016 | 9 Pages |
Abstract
In this paper we report our approach to a correlative data analysis, based on a concurrent calculation and fitting of simultaneously recorded GIXRF and XRR data. Based on this approach we developed JGIXA (Java Grazing Incidence X-ray Analysis), a multi-platform software package equipped with a user-friendly graphic user interface (GUI) and offering various optimization algorithms. Software and data evaluation approach were benchmarked by characterizing metal and metal oxide layers on Silicon as well as Arsenic implants in Silicon. The results of the different optimization algorithms have been compared to test the convergence of the algorithms. Finally, simulations for Iron nanoparticles on bulk Silicon and on a W/C multilayer are presented, using the assumption of an unaltered X-ray Standing Wave above the surface.
Keywords
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Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
D. Ingerle, G. Pepponi, F. Meirer, P. Wobrauschek, C. Streli,