Metadata-Version: 2.1
Name: radler
Version: 1.0.0
Summary: Radio Astronomical Deconvolution Library
Author-Email: Andre Offringa <offringa@astron.nl>, Maik Nijhuis <maik.nijhuis@triopsys.nl>, Jakob Maljaars <jakob.maljaars@stcorp.nl>, Tammo Jan Dijkema <dijkema@astron.nl>
Maintainer-Email: Marcel Loose <loose@astron.nl>, Tammo Jan Dijkema <dijkema@astron.nl>
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)
Classifier: Topic :: Scientific/Engineering :: Astronomy
Project-URL: Documentation, https://radler.readthedocs.io/
Project-URL: Repository, https://git.astron.nl/RD/radler.git
Requires-Python: >=3.9
Requires-Dist: astropy
Requires-Dist: numpy
Description-Content-Type: text/markdown

# 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.
