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The LOFAR Transients Pipeline (or "TraP") is a Python and SQL based system for
detecting and responding to transient and variable sources in a stream of
astronomical images. It primarily targets LOFAR data, but is also applicable
to a range of other instruments. See the pipeline documentation for
details including key features, installation instructions and a
usage guide.
An overview of the TraP can be found in the TraP paper_ accompanying
release 2.0, and we also have an assigned ASCL ID (http://ascl.net/1412.011).
If you make use of TraP in work leading to a publication, we ask that you cite
these references.
TraP development is coordinated by The LOFAR Transients Key Science Project_.
Bug tracking and feature requests are handled through the repository issue tracker_. Contributions are welcome.
This is open source software: see COPYING for licensing and copyright
information.
.. _TraP paper: http://adsabs.harvard.edu/abs/2015arXiv150301526S .. _The LOFAR Transients Key Science Project: http://www.transientskp.org/ .. _pipeline documentation: http://docs.transientskp.org/ .. _key features: http://tkp.readthedocs.org/en/latest/introduction.html#key-features .. _issue tracker: https://github.com/transientskp/tkp/issues