PyCBC

{{Infobox software

| name = PyCBC

| logo = 300px

| caption = Spectrogram of the GW170817 gravitational-wave chirp using PyCBC

| latest release version = {{#statements:software version identifier}}

| latest release date = {{#statements:P577}}

| developer = PyCBC Team and LIGO / Virgo Collaborations

| programming language = Python, C

| operating system = Linux, OS X

| genre = Technical computing

| license = {{#statements:P275}}

| website = {{#statements:official website}}

| repo = {{URL|https://github.com/gwastro/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.{{cite web|url=https://gwastro.github.io/pycbc/latest/html/|access-date=1 February 2017|title=PyCBC Documentation}} PyCBC contains modules for signal processing, FFT, 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 the LIGO and Virgo observatories to detect gravitational-waves from the mergers of neutron stars{{cite journal|last1=Abbott|first1=B. P.|collaboration=LIGO Scientific Collaboration & Virgo Collaboration|title= GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral|journal= Physical Review Letters|date= 16 October 2017|volume=119|issue= 16|pages=161101|doi= 10.1103/PhysRevLett.119.161101|pmid=29099225|bibcode=2017PhRvL.119p1101A|arxiv=1710.05832}} and black holes{{cite news|last=Nixon|first=Presley|date= 26 February 2016|title=NEW TYPE OF WAVE CONFIRMS EINSTEIN'S GENERAL RELATIVITY|url=https://thelink.harding.edu/the-bison/2016/02/26/new-type-of-wave-confirms-einsteins-general-relativity/|work=The Bison|access-date=16 January 2017}}{{cite news|last=Fan|first=Xilong|date=December 2017|issue=60|title=The first confirmed gravitational wave detection in LIGO's second observational run|work=Science China|volume=60 |doi=10.1007/s11433-017-9094-8}}{{cite book |last=Collins|first=Harry|date=January 2017|title=Gravity's Kiss|publisher=The MIT Press|isbn=9780262036184|pages=118, 164}}

{{cite journal |doi=10.1103/PhysRevLett.116.061102 |pmid= 26918975 |title= Observation of Gravitational Waves from a Binary Black Hole Merger |date= 11 February 2016 |first=B. P. |last=Abbott |collaboration=LIGO Scientific Collaboration and Virgo Collaboration |journal= Physical Review Letters |volume=116 |issue=6 |pages=061102|bibcode= 2016PhRvL.116f1102A |arxiv=1602.03837|s2cid= 124959784 }} and determine their statistical significance.{{cite journal|last1=Usman|first1=Samantha A.|title=The PyCBC search for gravitational waves from compact binary coalescence|year=2016|journal=Class. Quantum Grav.|volume=33|issue=21|pages=215004|doi=10.1088/0264-9381/33/21/215004|arxiv=1508.02357|bibcode=2016CQGra..33u5004U|s2cid=53979477}} PyCBC based analyses can integrate with the Open Science Grid for large scale computing resources.{{cite news|title=LIGO and OSG launch multi-messenger astronomy era|url=https://sciencenode.org/feature/ligo-and-osg-launch-multi-messenger-astronomy-era-.php|date=16 October 2017|work=Science Node|accessdate=1 February 2018|author=Jennifer Chu}} Software based on PyCBC has been used to rapidly analyze gravitational-wave data for astronomical follow-up.{{cite news|title=Syracuse Alumnus Instrumental in LIGO's Third Detection of Gravitational Waves|url=https://news.syr.edu/2017/06/syracuse-alumnus-instrumental-in-ligos-third-detection-of-gravitational-waves/|date=6 June 2017|work=Syracuse University Press|accessdate=7 January 2018}}{{cite web

|url=https://gcn.gsfc.nasa.gov/other/G268556.gcn3

|title=GCN notices related to LIGO/Virgo Alert of GW170104

|date=4 January 2017 |access-date=7 January 2018

|work=Gamma-ray Burst Coordinates Network

|publisher=Goddard Space Flight Center, NASA

}}{{cite web

|url=https://gcn.gsfc.nasa.gov/other/G298048.gcn3

|title=GCN notices related to LIGO/Virgo Alert of GW170817

|date=17 August 2017 |access-date=7 January 2018

|work=Gamma-ray Burst Coordinates Network

|publisher=Goddard Space Flight Center, NASA

}}