Examples

Running notebooks

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:

• Imaging and deconvolution demonstration

• Simple demonstration of the use of Dask/rsexecute

• Bandpass calibration demonstration

• Demonstrate visibility xarray format

Some functions initially developed for the LOFAR telescope pipeline are made available in RASCIL. The following notebooks show how the functions are integrated.

• Deconvolution with Rascil and Radler

• Multi frequency deconvolution with Rascil and Radler

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 %env RASCIL_DATA=~/rascil_data/data

Running scripts

Some example scripts are found in the directory examples/scripts.

• examples/scripts/imaging.py

• examples/scripts/primary_beam_zernikes.py

SKA simulations

• Index

• Module Index