Skip to main content

LOFAR Transients Key Project (TKP)

Project description

https://travis-ci.org/transientskp/tkp.svg?branch=master

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tkp-3.1.0.tar.gz (147.1 kB view details)

Uploaded Source

File details

Details for the file tkp-3.1.0.tar.gz.

File metadata

  • Download URL: tkp-3.1.0.tar.gz
  • Upload date:
  • Size: 147.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for tkp-3.1.0.tar.gz
Algorithm Hash digest
SHA256 6bb0e2c8188ec39317e9f265840e9b043b4e354bcbaf33eecb0f90ffd4beb2e4
MD5 ba5ece49a0731d4998408ea1a044edb5
BLAKE2b-256 c773cf58221bf363ed0fc856fb1c0eba0c66efc2e34f8f0723b85f22e6b64c6a

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page