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PyCBC
Free and open software to study gravitational waves.
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PyCBC is a software package used to explore astrophysical sources of gravitational waves. It contains algorithms that can detect coalescing compact binaries and measure the astrophysical parameters of detected sources. PyCBC was used in the first direct detection of gravitational waves by LIGO and is used in the ongoing analysis of LIGO and Virgo data. PyCBC was featured in Physics World as a good example of a large collaboration publishing its research products, including its software.

Use of PyCBC

If you use PyCBC in your scientific publications or projects, we ask that you acknowlege our work by citing the publications that describe PyCBC and the software's digital object identifier, as described in the PyCBC citation guidelines.

Getting Started

You can start using the PyCBC library now in an interactive notebook! See our tutorials

One way to start using PyCBC on your computer is to install one of our Docker containers. Install the Docker Community Edition for your Mac or Windows desktop, then type the commands shown below. Docker CE installations for Linux platforms are also available.

<script src="https://cdn.rawgit.com/mattboldt/typed.js/v1.1.7/js/typed.js" charset="utf-8"></script> <script type="text/javascript"> document.addEventListener("DOMContentLoaded", function(){ Typed.new(".element", { strings: ["^500docker pull pycbc/pycbc-el7:latest
$ ^500docker run -it pycbc/pycbc-el7:latest
(pycbc-software)[pycbc@37184573e664 ~]$ ^500python
Python 2.7.5 (default, Nov 6 2016, 00:28:07)
[GCC 4.8.5 20150623 (Red Hat 4.8.5-11)] on linux2
>>> ^500execfile("/opt/pycbc/src/pycbc/examples/waveform/match_waveform.py")
^1000The match is: 0.953
>>> ^500from pycbc.waveform import td_approximants
>>> ^500print td_approximants()[20:24]
['SEOBNRv3', 'SEOBNRv2', 'SpinTaylorT1', 'SEOBNRv4']
>>> "], typeSpeed: 0 }); }); </script>
pycbc — bash — 80x25
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