Skip to main content

The Transients Pipeline (or 'TraP') is a Python based system for detecting and responding to transient and variable sources in a stream of astronomical images.

Project description

Transients Pipeline

Documentation

The Transients Pipeline (or "TraP") is a Python 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.

Documentation: https://transients-pipeline.readthedocs.io/en/latest/

This is a rework of the original package hosted here: https://github.com/transientskp/tkp An overview of the package and it's initial design can be found in the original TraP paper. If you make use of TraP in work leading to a publication, we ask that you cite this reference.

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

trap-1.2.1.tar.gz (70.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

trap-1.2.1-py3-none-any.whl (47.5 kB view details)

Uploaded Python 3

File details

Details for the file trap-1.2.1.tar.gz.

File metadata

  • Download URL: trap-1.2.1.tar.gz
  • Upload date:
  • Size: 70.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for trap-1.2.1.tar.gz
Algorithm Hash digest
SHA256 7cda0b8aa65e523fcec0390a3d44c68c01441ccb394c58f1520bdefaa2fed7e6
MD5 b638660ede073eaa910697656c546fd5
BLAKE2b-256 f429194ffc02d075cf2af9fab75c8a642792d62dd1e38500658bdc518220eef2

See more details on using hashes here.

File details

Details for the file trap-1.2.1-py3-none-any.whl.

File metadata

  • Download URL: trap-1.2.1-py3-none-any.whl
  • Upload date:
  • Size: 47.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for trap-1.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 0e7bc6a8d313aa9219723de42aa2b5fc8d850aa6c983b73b39fc0166e56b279c
MD5 35ec6d39362b60b8370b85aa062ccd63
BLAKE2b-256 59299d18a2f1870df50691cc17c2f3d4811a003786048a19e083b4c6d0318433

See more details on using hashes here.

Supported by

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