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Radio Astronomy Simulation, Calibration, and Imaging Library

Project description

The Radio Astronomy Simulation, Calibration and Imaging Library expresses radio interferometry calibration and imaging algorithms in python and numpy. The interfaces all operate with familiar data structures such as image, visibility table, gaintable, etc. The python source code is directly accessible from these documentation pages: see the source link in the top right corner.

To acheive sufficient performance we take a dual pronged approach - using threaded libraries for shared memory processing, and the Dask library for distributed processing.

Documentation is [here](https://timcornwell.gitlab.io/rascil/)

RASCIL can be installed using pip:

pip install rascil

You may also need the rascil data for simulations:

curl https://timcornwell.gitlab.io/rascil/rascil_data.tgz -o rascil.data.tgz tar zxf rascil_data.tgz export RASCIL_DATA=`pwd`/rascil_data

Alternatively, if you wish to develop using RASCIL then you can clone from the GitHub repository:

git clone https://github.com/SKA-ScienceDataProcessor/rascil

RASCIL CI/CD occurs on [Gitlab](https://gitlab.com/timcornwell/rascil)

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