Our group has developed RHKPY, a python tool designed to read sm4 files of RHK, leveraging the work of the rescipy project. It makes use of xarray and HoloViews to simplify complex data handling tasks. Among its features, RHKPY offers quick visualization, thumbnail generation, peak fitting to spectroscopy data, background removal, etc. In the Jupyter notebook environment, users can create interactive “lab notes”. Simple tasks can be accomplished with just one or two lines of code, while more sophisticated data analysis is made possible through the capabilities of Python.
Documentation can be found here, source code is available from GitHub.
Some of the capabilities can be explored, in this basic demo.
If you use this package in your publication, consider citing it: Peter Nemes-I., & Mirco Panighel. (2023). zrbyte/rhkpy. Zenodo. https://zenodo.org/doi/10.5281/zenodo.10143224
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