Radler: Radio Astronomical Deconvolution Library

Radler is a library providing functionality for deconvolving astronomical images. The library was split off from WSClean, https://gitlab.com/aroffringa/wsclean_ in order to enhance modularity and comparisons.

Documentation

The Radler-specific documentation can be found here: https://radler.readthedocs.io/, which includes how to interface with Radler from Python or C++. Information about the different methods and when to use which method (aimed at astronomers) can be found in the WSClean manual, https://wsclean.readthedocs.io/. The WSClean documentation also contains references to scientific papers that describe the methods that are implemented in Radler.

Testing

Tests for the core functionality - in particular the different deconvolution algorithms can be found in the cpp/test directory. Smaller scale unit tests can be found at namespace level (see, e.g., cpp/math/test).

Some example scripts of how the C++ interface can be used, are found in the cpp/demo directory.

License

Radler is released under the LGPL version 3.