Content¶
This documentation page contains information about the developer and authors of PySILLS, how it can be installed and, most importantly, how it can be used based on tutorials and example projects.
About¶
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PySILLS is a newly developed Python-based, open source tool for a modern data reduction of LA-ICP-MS experiments. It is focused on the major, minor and trace element analysis of mineral compositions as well as of fluid and melt inclusion compositions. PySILLS, which was initially part of a M.Sc. thesis project, is developed by Maximilian Alexander Beeskow in the work group of Prof. Dr. Thomas Wagner and Dr. Tobias Fusswinkel at RWTH Aachen University. PySILLS was inspired conceptionally by the widely-used data reduction tool SILLS.
Top Features¶
works on all common computer systems that can run Python
use of multiple standard reference materials in one project file
use of multiple internal standards in one project file
consideration of isotope-specific standard reference materials
assemblage definition
file-specific quick analysis
intuitive, fast and flexible workflow
multiple check-up possibilities
export of processed LA-ICP-MS data (e.g. intensity ratios, analytical sensitivities, etc.) for external calculations
many quality-of-life features
Planned Features¶
more outlier detection algorithms
replacement of scattered intensity values by regression curves
extended language support
in-built geothermometry analysis
Jupyter notebooks for a browser-based data reduction of LA-ICP-MS experiments
production of a video course on YouTube
Video Tutorials¶
It is planned to create a short educational video course on YouTube which will extend and support this documentation page. The produced videos will be available on the PySILLS YouTube channel.
Support¶
For general questions, the applications of PySILLS but also for feature suggestions, pleasse create an issue in the PySILLS repository. The developer of PySILLS, Maximilian Alexander Beeskow, can also be reached on the Software Underground Slack Workspace.
Citing PySILLS¶
If you are using PySILLS for your scientific research, please remember to cite our work. The citation is provided in the Authors, Citation, License section.