The Gravitational Wave Universe Toolbox: A software package to simulate observation of the Gravitational Wave Universe with different detectors. (arXiv:2106.13662v2 [astro-ph.HE] UPDATED)
<a href="http://arxiv.org/find/astro-ph/1/au:+Yi_S/0/1/0/all/0/1">Shu-Xu Yi</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Nelemans_G/0/1/0/all/0/1">Gijs Nelemans</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Brinkerink_C/0/1/0/all/0/1">Christiaan Brinkerink</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Kostrzewa_Rutkowska_Z/0/1/0/all/0/1">Zuzanna Kostrzewa-Rutkowska</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Timmer_S/0/1/0/all/0/1">Sjoerd T. Timmer</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Stoppa_F/0/1/0/all/0/1">Fiorenzo Stoppa</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Rossi_E/0/1/0/all/0/1">Elena M. Rossi</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Zwart_S/0/1/0/all/0/1">Simon F. Portegies Zwart</a>

Context. As the importance of Gravitational Wave (GW) Astrophysics increases
rapidly, astronomers in different fields and with different backgrounds can
have the need to get a quick idea of which GW source populations can be
detected by which detectors and with what measurement uncertainties.

Aims. The GW-Toolbox is an easy-to-use, flexible tool to simulate
observations on the GW universe with different detectors, including
ground-based interferometers (advanced LIGO, advanced VIRGO, KAGRA, Einstein
Telescope, and also customised designs), space-borne interferometers (LISA and
a customised design), pulsar timing arrays mimicking the current working ones
(EPTA, PPTA, NANOGrav, IPTA) and future ones. We include a broad range of
sources such as mergers of stellar mass compact objects, namely black holes,
neutron stars and black hole-neutron stars; and supermassive black hole
binaries mergers and inspirals, Galactic double white dwarfs in ultra-compact
orbit, extreme mass ratio inspirals and Stochastic GW backgrounds.

Methods. We collect methods to simulate source populations and determine
their detectability with the various detectors. The paper aims at giving a
comprehensive description on the algorithm and functionality of the GW-Toolbox.

Results. The GW-Toolbox produces results that are consistent with more
detailed calculations of the different source classes and can be accessed with
a website interface (gw-universe.org) or as a python package
(https://bitbucket.org/radboudradiolab/gwtoolbox). In the future, it will be
upgraded with more functionality.

Context. As the importance of Gravitational Wave (GW) Astrophysics increases
rapidly, astronomers in different fields and with different backgrounds can
have the need to get a quick idea of which GW source populations can be
detected by which detectors and with what measurement uncertainties.

Aims. The GW-Toolbox is an easy-to-use, flexible tool to simulate
observations on the GW universe with different detectors, including
ground-based interferometers (advanced LIGO, advanced VIRGO, KAGRA, Einstein
Telescope, and also customised designs), space-borne interferometers (LISA and
a customised design), pulsar timing arrays mimicking the current working ones
(EPTA, PPTA, NANOGrav, IPTA) and future ones. We include a broad range of
sources such as mergers of stellar mass compact objects, namely black holes,
neutron stars and black hole-neutron stars; and supermassive black hole
binaries mergers and inspirals, Galactic double white dwarfs in ultra-compact
orbit, extreme mass ratio inspirals and Stochastic GW backgrounds.

Methods. We collect methods to simulate source populations and determine
their detectability with the various detectors. The paper aims at giving a
comprehensive description on the algorithm and functionality of the GW-Toolbox.

Results. The GW-Toolbox produces results that are consistent with more
detailed calculations of the different source classes and can be accessed with
a website interface (gw-universe.org) or as a python package
(https://bitbucket.org/radboudradiolab/gwtoolbox). In the future, it will be
upgraded with more functionality.

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