I am self-learning GR.

I was wondering if there is any open source software to help learn more about the signal processing of gravitational waves. E.g. a software that injects a signal into random noise and outputs data accordingly.

I am interested in trying to do some signal processing now that I have learned the basics of gravitational waves.


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LIGO actually has a really nice step-by-step tutorial on this: https://losc.ligo.org/s/events/GW150914/GW150914_tutorial.html

It is in python, but should be accessible

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There is more in LIGO Open Science Center: https://losc.ligo.org/tutorials/

  • $\begingroup$ Thanks. True, I've actually went through the said tutorial but forgot to add it in my answer. Anyhow, I think this is more useful than the two links posted in my answer. $\endgroup$ – Otto Jun 20 '16 at 11:32
  • $\begingroup$ There are also interactive tutorials that one can run in the browser to get some idea of parts of what LIGO data analysis is doing. $\endgroup$ – Alex Nitz Nov 28 '17 at 13:45

Alright so the LIGO collaboration has established a multitude of software for doing this.


One of the more commonly used ones is lalsuite. Some examples:

lalsim-detector-noise --aligo-zerodet-highpower -s 1000000000 -t 16 > noise

lalsim-inspiral | lalsim-detector-strain -D H1 -a 1:23:45 -d 45.0 -p 30.0 -t 1000000008 > signal

lalsim-inject noise signal > output

creates noise and inputs a signal into it.


Another, more user-friendly version is pycbc for combact binary coalescence, which is a python interface for doing gravitational wave physics (including data analysis and mock data challenges).


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