Radio Astronomy Simulation, Calibration and Imaging LibraryΒΆ

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.

RASCIL replaces the Algorithm Reference Library (ARL), which is now frozen.