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SWIGLAL: Python and Octave interfaces to the LALSuite gravitational-wave data analysis libraries

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Wette,  Karl
Observational Relativity and Cosmology, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society;

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2012.09552.pdf
(Preprint), 433KB

1-s2.0-S2352711020303472-main.pdf
(Publisher version), 702KB

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Citation

Wette, K. (2020). SWIGLAL: Python and Octave interfaces to the LALSuite gravitational-wave data analysis libraries. SoftwareX, 12: 100634. doi:10.1016/j.softx.2020.100634.


Cite as: https://hdl.handle.net/21.11116/0000-0007-A4D0-4
Abstract
The LALSuite data analysis libraries, written in C, implement key routines
critical to the successful detection of gravitational waves, such as the
template waveforms describing the merger of two black holes or two neutron
stars. SWIGLAL is a component of LALSuite which provides interfaces for Python
and Octave, making LALSuite routines accessible directly from scripts written
in those languages. It has enabled modern gravitational-wave data analysis
software, used in the first detection of gravitational waves, to be written in
Python, thereby benefiting from its ease of development and rich feature set,
while still having access to the computational speed and scientific
trustworthiness of the routines provided by LALSuite.