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Copy file name to clipboardExpand all lines: paper/paper.md
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@@ -40,11 +40,9 @@ Furthermore, data interchange is cumbersome, and results may be hard to reproduc
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Finally, limitations of the bundled software may stimulate scientists to use third-party software.
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For example, bundled software packages may not support specific kinds of analyses, such as including the response of optically anisotropic materials or simultaneous fitting of external experimental parameters.
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PyElli offers an open-source alternative extending the capabilities of existing solutions, while aiming to remain as compatible as possible:
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By providing importers for various manufacturers (Woollam VWASE, Woollam CompleteEASE, Sentech, Accurion), and having dispersion models
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Typical examples are implementations of custom experimental geometries not covered by other software [@eberheim2022] or as a full FAIR data [@Wilkinson2016] automated analysis pipeline for SE measurements.
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The code is designed with extensibility and adaptability in mind, enabling scientists to easily develop custom analysis pipelines.
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PyElli offers an open-source alternative extending the capabilities of existing solutions, while aiming to remain as compatible as possible, by providing data imports from various manufacturers (Woollam VWASE, Woollam CompleteEASE, Sentech, Accurion).
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The code is designed with extensibility and adaptability in mind, enabling scientists to implement their own models and evaluate them with custom tooling.
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Typical examples for advanced use-cases are implementations of custom experimental geometries not covered by other software [@eberheim2022], imaging ellipsommetry, or as a full FAIR data [@Wilkinson2016] automated analysis pipeline for SE measurements.
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PyElli also supports recent advances in the standardization of ellipsometry data and models, addressing the need for FAIR data.
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PyElli aims to provide straight-forward availability of a database of predefined dispersion models for analyzing materials.
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The calculation is stored in the `result` variable, which is a [`Result` object](https://pyelli.readthedocs.io/en/stable/result.html).
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This object can hold all input parameters and the calculation results. You can call methods like `psi`, `delta`, `R`, etc., to get your desired output.
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We can also use the `@fit` decorator in `elli.fitting` to automatically show a widget-based fitting GUI for Jupyter notebooks.
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Figure \autoref{fig:fit_dec_example} shows the output when used with this example model and some experimental data.
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\autoref{fig:fit_dec_example} shows the output when used with this example model and some experimental data.
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