PyCBC
PyCBC is a free and open-source software package primarily written in the Python programming language which is designed for use in gravitational-wave astronomy and gravitational-wave data analysis. PyCBC contains modules for signal processing, fast Fourier transforms, matched filtering, gravitational waveform generation, among other tasks common in gravitational-wave data analysis. The software is developed by the gravitational-wave community alongside LIGO and Virgo scientists to analyze gravitational-wave data, search for gravitational-waves, and to measure the properties of astrophysical sources. It has been used to analyze gravitational-wave data from LIGO and VIRGO to detect gravitational-waves from the mergers of neutron stars and black holes and determine their statistical significance. PyCBC-based analyses can integrate with the Open Science Grid for large scale computing resources. Software based on PyCBC has been used to rapidly analyze gravitational-wave data for astronomical follow-up.
| PyCBC | |
|---|---|
 | |
| Developers | PyCBC Team and LIGO / Virgo Collaborations |
| Stable release | 2.10.0
/ October 26, 2025 |
| Written in | Python |
| Operating system | Linux, Mac OS X, Windows |
| Type | Scientific computing |
| License | GNU General Public License, version 3.0 |
| Website | https://pycbc.org/ |
| Repository | https://github.com/gwastro/pycbc |
PyCBC is a free and open-source software package primarily written in the Python programming language which is designed for use in gravitational-wave astronomy and gravitational-wave data analysis.[1] PyCBC contains modules for signal processing, fast Fourier transforms, matched filtering, gravitational waveform generation, among other tasks common in gravitational-wave data analysis.[1]
The software is developed by the gravitational-wave community alongside LIGO and Virgo scientists to analyze gravitational-wave data, search for gravitational-waves, and to measure the properties of astrophysical sources. It has been used to analyze gravitational-wave data from LIGO and VIRGO to detect gravitational-waves from the mergers of neutron stars[2] and black holes[3][4][5][6] and determine their statistical significance.[7] PyCBC-based analyses can integrate with the Open Science Grid for large scale computing resources.[8] Software based on PyCBC has been used to rapidly analyze gravitational-wave data for astronomical follow-up.[9][10][11]
See also
[edit]
- List of numerical analysis software
- LIGO Scientific Collaboration
- European Gravitational Observatory
References
[edit]- ^ a b "PyCBC Documentation". Retrieved 1 February 2017.
- ^ Abbott, B. P.; et al. (LIGO Scientific Collaboration & Virgo Collaboration) (16 October 2017). "GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral". Physical Review Letters. 119 (16) 161101. arXiv:1710.05832. Bibcode:2017PhRvL.119p1101A. doi:10.1103/PhysRevLett.119.161101. PMID 29099225.
- ^ Nixon, Presley (26 February 2016). "NEW TYPE OF WAVE CONFIRMS EINSTEIN'S GENERAL RELATIVITY". The Bison. Retrieved 16 January 2017.
- ^ Fan, Xilong (December 2017). "The first confirmed gravitational wave detection in LIGO's second observational run". Science China. Vol. 60, no. 60. doi:10.1007/s11433-017-9094-8.
- ^ Collins, Harry (January 2017). Gravity's Kiss. The MIT Press. pp. 118, 164. ISBN 978-0-262-03618-4.
- ^ Abbott, B. P.; et al. (LIGO Scientific Collaboration and Virgo Collaboration) (11 February 2016). "Observation of Gravitational Waves from a Binary Black Hole Merger". Physical Review Letters. 116 (6) 061102. arXiv:1602.03837. Bibcode:2016PhRvL.116f1102A. doi:10.1103/PhysRevLett.116.061102. PMID 26918975. S2CID 124959784.
- ^ Usman, Samantha A. (2016). "The PyCBC search for gravitational waves from compact binary coalescence". Class. Quantum Grav. 33 (21) 215004. arXiv:1508.02357. Bibcode:2016CQGra..33u5004U. doi:10.1088/0264-9381/33/21/215004. S2CID 53979477.
- ^ Jennifer Chu (16 October 2017). "LIGO and OSG launch multi-messenger astronomy era". Science Node. Retrieved 1 February 2018.
- ^ "Syracuse Alumnus Instrumental in LIGO's Third Detection of Gravitational Waves". Syracuse University Press. 6 June 2017. Retrieved 7 January 2018.
- ^ "GCN notices related to LIGO/Virgo Alert of GW170104". Gamma-ray Burst Coordinates Network. Goddard Space Flight Center, NASA. 4 January 2017. Retrieved 7 January 2018.
- ^ "GCN notices related to LIGO/Virgo Alert of GW170817". Gamma-ray Burst Coordinates Network. Goddard Space Flight Center, NASA. 17 August 2017. Retrieved 7 January 2018.