Core library to analyze gravitational-wave data, find signals, and study their parameters.

Navigation

Project links

Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: GNU General Public License v3 (GPLv3)

Author: The PyCBC team

Tags ligo, physics, gravity, signal processing, gravitational waves

Maintainers

Avatar for ahnitz from gravatar.com ahnitz Avatar for a-r-williamson from gravatar.com a-r-williamson Avatar for duncan-brown from gravatar.com duncan-brown Avatar for lppekows from gravatar.com lppekows

Classifiers

Project description

PyCBC is a software package used to explore astrophysical sources of gravitational waves. It contains algorithms to analyze gravitational-wave data from the LIGO and Virgo detectors, detect coalescing compact binaries, and measure the astrophysical parameters of detected sources. PyCBC was used in the first direct detection of gravitational waves and is used in the flagship analysis of LIGO and Virgo data.

PyCBC is developed collaboratively and lead by a team of LIGO scientists with the aim to build accessible tools for gravitational-wave data analysis. One of the easiest ways to get a full software environment is by downloading one of our docker images.

Some interactive examples using portions of the PyCBC library are also hosted as jupyter notebooks on Microsoft Azure. Feel free to give them a try. You can also explore the full documentation pages or the source code on GitHub.

If you use PyCBC in scientific publications, please see our citation guidelines.

Project details

Project links

Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: GNU General Public License v3 (GPLv3)

Author: The PyCBC team

Tags ligo, physics, gravity, signal processing, gravitational waves

Maintainers

Avatar for ahnitz from gravatar.com ahnitz Avatar for a-r-williamson from gravatar.com a-r-williamson Avatar for duncan-brown from gravatar.com duncan-brown Avatar for lppekows from gravatar.com lppekows

Classifiers


Release history Release notifications | RSS feed

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.18.3

1.18.2 yanked

1.18.1

1.18.0

1.17.1 yanked

1.17.0

1.16.12

1.16.11

1.16.10

1.16.9

1.16.8

1.16.7

1.16.6

1.16.5

1.16.4

This version

1.16.3

1.16.2

1.16.1

1.16.0

1.15.6

1.15.5

1.15.4

1.15.3

1.15.2

1.15.1

1.15.0

1.14.4

1.14.3

1.14.2

1.14.1

1.14.0

1.13.8

1.13.7

1.13.6

1.13.5

1.13.4

1.13.3

1.13.2

1.13.1

1.13.0

1.12.4

1.12.3

1.12.2

1.12.1

1.11.14

1.11.13

1.11.11

1.11.9

1.11.8

1.11.5

1.11.4

1.11.3

1.11.2

1.11.1

1.11.0

1.10.1

1.9.4

1.9.2

1.9.1

1.9.0

1.8.2

1.8.1

1.8.0

1.7.11

1.7.10

1.7.9

1.7.8

1.7.5

1.7.4

1.7.3

1.7.2

1.7.1

1.7.0

1.6.8

1.6.7

1.6.6

1.6.5

1.6.4

1.6.3

1.6.2

1.6.1

1.6.0

1.5.10

1.5.9

1.5.8

1.5.7

1.5.6

1.5.5

1.5.4

1.4.0

1.3.6

1.2.0

1.1.0

1.0.1

1.0.0

0.1.4

0.1.3

0.1.2

Download files

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

Source Distribution

PyCBC-1.16.3.tar.gz (3.2 MB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page