The best way to get familiar with RASCIL is via jupyter notebooks. For example:
jupyter notebook examples/notebooks/imaging.ipynb
See the jupyter notebooks below:
Some functions initially developed for the LOFAR telescope pipeline are made available in RASCIL. The following notebooks show how the functions are integrated.
In addition, there are other notebooks in examples/notebooks that are not built as part of this documentation.
In some cases it may be necessary to add the following to the notebook to locate the RASCIL data
Some example scripts are found in the directory examples/scripts.