PyCBC

PyCBC is an 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, FFT, matched filtering, gravitational waveform generation, among other tasks common in gravitational-wave data analysis.^[1]

PyCBC

Developer(s)	PyCBC Team and LIGO / Virgo Collaborations
Stable release	2.6.0
Repository	github.com/gwastro/pycbc
Written in	Python, C
Operating system	Linux, OS X
Type	Technical computing
License	GNU General Public License, version 3.0
Website	https://pycbc.org/

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 the LIGO and Virgo observatories 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

• List of numerical analysis software
• LIGO Scientific Collaboration
• European Gravitational Observatory

References

1. "PyCBC Documentation". Retrieved 1 February 2017.
2. 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.
3. Nixon, Presley (26 February 2016). "NEW TYPE OF WAVE CONFIRMS EINSTEIN'S GENERAL RELATIVITY". The Bison. Retrieved 16 January 2017.
4. 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.
5. Collins, Harry (January 2017). Gravity's Kiss. The MIT Press. pp. 118, 164. ISBN 9780262036184.
6. 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.
7. 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.
8. Jennifer Chu (16 October 2017). "LIGO and OSG launch multi-messenger astronomy era". Science Node. Retrieved 1 February 2018.
9. "Syracuse Alumnus Instrumental in LIGO's Third Detection of Gravitational Waves". Syracuse University Press. 6 June 2017. Retrieved 7 January 2018.
10. "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.
11. "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.

External links

• Official website
• GitHub repository