TY - JOUR
T1 - Python Open source Waveform ExtractoR (POWER)
T2 - An open source, Python package to monitor and post-process numerical relativity simulations
AU - Johnson, Daniel
AU - Huerta, E. A.
AU - Haas, Roland
N1 - This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the State of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications (NCSA). The eccentric numerical relativity simulations used in this article were generated with the open source, community software, the Einstein Toolkit on the Blue Waters petascale supercomputer and XSEDE (TG-PHY160053). This work was partially supported by the NSF SI2-SSI award OAC-1550514. We acknowledge support from the NCSA and the SPIN (Students Pushing Innovation) Program at NCSA.
This research is part of the Blue Waters sustained-petascale computing project, which is supported by the National Science Foundation (awards OCI-0725070 and ACI-1238993) and the State of Illinois. Blue Waters is a joint effort of the University of Illinois at Urbana-Champaign and its National Center for Supercomputing Applications (NCSA). The eccentric numerical relativity simulations used in this article were generated with the open source, community software, the Einstein Toolkit on the Blue Waters petascale supercomputer and XSEDE (TG-PHY160053). This work was partially supported by the NSF SI2-SSI award OAC-1550514. We acknowledge support from the NCSA and the SPIN (Students Pushing Innovation) Program at NCSA. We thank Ian Hinder and Barry Wardell for the SimulationTools analysis package. Plots were generated with Matplotlib [29]. POWER uses numpy [30] and scipy [31].
PY - 2018/1/25
Y1 - 2018/1/25
N2 - 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.
AB - 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.
KW - computational astrophysics
KW - gravitational waves
KW - numerical relativity
KW - open source software
UR - https://www.scopus.com/pages/publications/85039703160
UR - https://www.scopus.com/pages/publications/85039703160#tab=citedBy
U2 - 10.1088/1361-6382/aa9cad
DO - 10.1088/1361-6382/aa9cad
M3 - Article
AN - SCOPUS:85039703160
SN - 0264-9381
VL - 35
JO - Classical and Quantum Gravity
JF - Classical and Quantum Gravity
IS - 2
M1 - 027002
ER -