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A transients-discovery pipeline for astronomical image-based surveys

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LOFAR Transients Pipeline

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 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.

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A transients-discovery pipeline for astronomical image-based surveys

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  • Python 97.9%
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