PyCBC

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

These details have been verified by PyPI

Maintainers

ahnitz a-r-williamson duncan-brown lppekows tito.dalcanton

These details have not been verified by PyPI

Project links

GitHub Statistics

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

Project description

GW150914

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

PyCBC is collaboratively developed by the community and is lead by a team of GW astronomers with the aim to build accessible tools for gravitational-wave data analysis.

The PyCBC home page is located on github at

https://pycbc.org/

Documentation is automatically built from the latest master version

https://pycbc.org/pycbc/latest/html/

For the detailed installation instructions of PyCBC

https://pycbc.org/pycbc/latest/html/install.html

Want to get going using PyCBC?

Try out our tutorials. No software installation required and these can run entirely from the browser.

Quick Installation

pip install pycbc

To test the code on your machine

pip install pytest tox
tox

If you use any code from PyCBC in a scientific publication, then please see our citation guidelines for more details on how to cite pycbc algorithms and programs.

For the citation of the pycbc library, please use a bibtex entry and DOI for the appropriate release of the PyCBC software (or the latest available release). A bibtex key and DOI for each release is avaliable from Zenodo.

PyPI - Downloads

Project details

These details have been verified by PyPI

Maintainers

ahnitz a-r-williamson duncan-brown lppekows tito.dalcanton

These details have not been verified by PyPI

Project links

GitHub Statistics

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

Release history Release notifications | RSS feed

2.4.0

Oct 17, 2023

2.3.6

Feb 22, 2024

2.3.5

Feb 9, 2024

2.3.4

Feb 2, 2024

2.3.3

Jan 9, 2024

2.3.2

Nov 15, 2023

2.3.1

Nov 3, 2023

2.3.0

Oct 12, 2023

2.2.2

Sep 13, 2023

2.2.1

Jul 27, 2023

2.2.0

Mar 9, 2023

2.1.6

Apr 19, 2024

2.1.5

Feb 21, 2024

2.1.4

Feb 6, 2024

2.1.3

Jan 19, 2024

2.1.2

May 2, 2023

2.1.1

Mar 17, 2023

2.1.0

Mar 2, 2023

2.0.6

Jan 18, 2023

2.0.5

Jul 27, 2022

2.0.4

Jun 15, 2022

2.0.3

May 26, 2022

2.0.2

Mar 2, 2022

2.0.1

Jan 6, 2022

2.0.0

Jan 6, 2022

1.18.3

Aug 25, 2021

This version

1.18.2 yanked

Aug 24, 2021

1.18.1

May 28, 2021

1.18.0

Feb 23, 2021

1.17.1 yanked

Feb 4, 2021

Reason this release was yanked:

Broken dependency

1.17.0

Dec 18, 2020

1.16.12

Oct 26, 2020

1.16.11

Oct 9, 2020

1.16.10

Oct 2, 2020

1.16.9

Aug 20, 2020

1.16.8

Aug 14, 2020

1.16.7

Aug 1, 2020

1.16.6

Jul 27, 2020

1.16.5

Jul 20, 2020

1.16.4

Jun 23, 2020

1.16.3

Jun 17, 2020

1.16.2

Jun 3, 2020

1.16.1

Apr 28, 2020

1.16.0

Apr 28, 2020

1.15.6

Apr 17, 2020

1.15.5

Mar 4, 2020

1.15.4

Jan 29, 2020

1.15.3

Jan 1, 2020

1.15.2

Dec 5, 2019

1.15.1

Dec 4, 2019

1.15.0

Dec 3, 2019

1.14.4

Nov 18, 2019

1.14.3

Nov 16, 2019

1.14.2

Oct 11, 2019

1.14.1

Jul 2, 2019

1.14.0

Jun 17, 2019

1.13.8

May 14, 2019

1.13.7

May 13, 2019

1.13.6

Apr 17, 2019

1.13.5

Mar 1, 2019

1.13.4

Feb 27, 2019

1.13.3

Feb 4, 2019

1.13.2

Nov 28, 2018

1.13.1

Nov 16, 2018

1.13.0

Nov 7, 2018

1.12.4

Oct 26, 2018

1.12.3

Sep 6, 2018

1.12.2

Aug 16, 2018

1.12.1

Jul 17, 2018

1.11.14

Aug 31, 2018

1.11.13

Aug 29, 2018

1.11.11

Aug 29, 2018

1.11.9

Aug 28, 2018

1.11.8

Aug 16, 2018

1.11.5

Aug 15, 2018

1.11.4

Jul 17, 2018

1.11.3

Jul 17, 2018

1.11.2

Jul 17, 2018

1.11.1

Jun 26, 2018

1.11.0

Jun 25, 2018

1.10.1

May 31, 2018

1.9.4

Mar 26, 2018

1.9.2

Feb 23, 2018

1.9.1

Feb 8, 2018

1.9.0

Dec 20, 2017

1.8.2

Nov 18, 2017

1.8.1

Sep 10, 2017

1.8.0

Sep 8, 2017

1.7.11

Sep 1, 2017

1.7.10

Aug 28, 2017

1.7.9

Aug 27, 2017

1.7.8

Aug 17, 2017

1.7.5

Jul 13, 2017

1.7.4

Jul 12, 2017

1.7.3

Jul 12, 2017

1.7.2

Jun 15, 2017

1.7.1

Apr 19, 2017

1.7.0

Apr 12, 2017

1.6.8

Mar 1, 2017

1.6.7

Feb 20, 2017

1.6.6

Feb 20, 2017

1.6.5

Feb 9, 2017

1.6.4

Jan 26, 2017

1.6.3

Jan 17, 2017

1.6.2

Dec 8, 2016

1.6.1

Dec 6, 2016

1.6.0

Dec 2, 2016

1.5.10

Nov 22, 2016

1.5.9

Nov 20, 2016

1.5.8

Nov 18, 2016

1.5.7

Nov 18, 2016

1.5.6

Nov 18, 2016

1.5.5

Nov 18, 2016

1.5.4

Oct 7, 2016

1.4.0

Jun 15, 2016

1.3.6

May 3, 2016

1.2.0

Sep 29, 2015

1.1.0

Jul 22, 2015

1.0.1

Jun 22, 2015

1.0.0

Jun 13, 2015

0.1.4

Jun 10, 2015

0.1.3

Jun 10, 2015

0.1.2

Jun 9, 2015

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Hashes for PyCBC-1.18.2.tar.gz

Hashes for PyCBC-1.18.2.tar.gz
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Hashes for PyCBC-1.18.2-cp39-cp39-manylinux2010_x86_64.whl

Hashes for PyCBC-1.18.2-cp39-cp39-manylinux2010_x86_64.whl
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Hashes for PyCBC-1.18.2-cp39-cp39-manylinux2010_i686.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for PyCBC-1.18.2-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp38-cp38-manylinux2010_x86_64.whl

Hashes for PyCBC-1.18.2-cp38-cp38-manylinux2010_x86_64.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp38-cp38-manylinux2010_i686.whl

Hashes for PyCBC-1.18.2-cp38-cp38-manylinux2010_i686.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for PyCBC-1.18.2-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp37-cp37m-manylinux2010_x86_64.whl

Hashes for PyCBC-1.18.2-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp37-cp37m-manylinux2010_i686.whl

Hashes for PyCBC-1.18.2-cp37-cp37m-manylinux2010_i686.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for PyCBC-1.18.2-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
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MD5	`cd129eb94924385b442fd41b194f4a22`
BLAKE2b-256	`f7690803aca4427fe2ae9e90d02b08634558218d1efd9680ca7be814af001646`

Hashes for PyCBC-1.18.2-cp36-cp36m-manylinux2010_x86_64.whl

Hashes for PyCBC-1.18.2-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp36-cp36m-manylinux2010_i686.whl

Hashes for PyCBC-1.18.2-cp36-cp36m-manylinux2010_i686.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for PyCBC-1.18.2-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp27-cp27mu-manylinux2010_x86_64.whl

Hashes for PyCBC-1.18.2-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp27-cp27mu-manylinux2010_i686.whl
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Hashes for PyCBC-1.18.2-cp27-cp27m-manylinux2010_x86_64.whl

Hashes for PyCBC-1.18.2-cp27-cp27m-manylinux2010_x86_64.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp27-cp27m-manylinux2010_i686.whl

Hashes for PyCBC-1.18.2-cp27-cp27m-manylinux2010_i686.whl
Algorithm	Hash digest
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Hashes for PyCBC-1.18.2-cp27-cp27m-macosx_10_9_x86_64.whl

Hashes for PyCBC-1.18.2-cp27-cp27m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
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