Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations. Numerical simulations of Einstein’s field equations provide unique insights into the physics of compact objects moving at relativistic speeds, and which are driven by strong gravitational interactions. Numerical relativity has played a key role to firmly establish gravitational wave astrophysics as a new field of research, and it is now paving the way to establish whether gravitational wave radiation emitted from compact binary mergers is accompanied by electromagnetic and astro-particle counterparts. As numerical relativity continues to blend in with routine gravitational wave data analyses to validate the discovery of gravitational wave events, it is essential to develop open source tools to streamline these studies. Motivated by our own experience as users and developers of the open source, community software, the Einstein Toolkit, we present an open source, Python package that is ideally suited to monitor and post-process the data products of numerical relativity simulations, and compute the gravitational wave strain at future null infinity in high performance environments. We showcase the application of this new package to post-process a large numerical relativity catalog and extract higher-order waveform modes from numerical relativity simulations of eccentric binary black hole mergers and neutron star mergers. This new software fills a critical void in the arsenal of tools provided by the Einstein Toolkit Consortium to the numerical relativity community.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Gabriele Bozzola: kuibit: Analyzing Einstein Toolkit simulations with Python (2021) arXiv
- Daniel Johnson, E. A. Huerta, Roland Haas: Python Open Source Waveform Extractor (POWER): An open source, Python package to monitor and post-process numerical relativity simulations (2017) arXiv