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Published on: April 24, 2018
X-Ray Calc 3: improved software for simulation and inverse problem solving for X-ray reflectivity.
Oleksiy V Penkov1,2, Mingfeng Li1, Said Mikki1,3
1ZJU-UIUC Institute, Zhejiang University, Haining, Zhejiang 314400, People's Republic of China.
X-Ray Calc (XRC) is open-source software for simulating X-ray reflectivity (XRR) and reconstructing film structures. The latest version, XRC3, offers enhanced fitting capabilities and a streamlined user interface for improved analysis.
Area of Science:
- Materials Science
- Condensed Matter Physics
- Surface Science
Background:
- X-ray reflectivity (XRR) is a powerful technique for characterizing thin films and multilayers.
- Accurate structural reconstruction from XRR data is crucial for material development.
- Existing software may lack advanced fitting capabilities or user-friendly interfaces.
Purpose of the Study:
- To introduce X-Ray Calc (XRC), an open-source software for XRR simulation and structural reconstruction.
- To present the latest version, XRC3, highlighting its new features and improvements.
- To enhance the analysis of thin film structures using XRR data.
Main Methods:
- Utilizes a recursive approach based on Fresnel equations for XRR simulation.
- Incorporates specialized tools for modeling periodic multilayer structures.
- Features an automatic fitting capability using a modified particle swarm optimization algorithm.
- Introduces a novel cost function tailored for fitting periodic structures.
Main Results:
- XRC3 provides an enhanced user experience with a new single-window interface.
- Automatic fitting of XRR curves is achieved with improved accuracy.
- The software effectively simulates XRR and reconstructs complex film structures.
- Modeling of periodic multilayer structures is efficiently handled.
Conclusions:
- X-Ray Calc (XRC3) is a valuable, open-source tool for XRR analysis.
- The enhanced fitting algorithms and user interface improve the efficiency and accuracy of structural reconstruction.
- XRC3 facilitates advanced research in thin film and multilayer characterization.
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