2021
DOI: 10.48550/arxiv.2111.08717
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LEGWORK: A python package for computing the evolution and detectability of stellar-origin gravitational-wave sources with space-based detectors

Tom Wagg,
Katelyn Breivik,
Selma E. de Mink

Abstract: We present LEGWORK (LISA Evolution and Gravitational Wave Orbit Kit), an open-source Python package for making predictions about stellar-origin gravitational wave sources and their detectability in LISA or other space-based gravitational wave detectors. LEGWORK can be used to evolve the orbits of sources due to gravitational wave emission, calculate gravitational wave strains (using post-Newtonian approximations), compute signal-to-noise ratios and visualise the results. It can be applied to a variety of poten… Show more

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Cited by 2 publications
(2 citation statements)
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References 47 publications
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“…Here, we use the Python package LEGWORK 5 (Wagg et al 2021) to calculate the strain amplitude h 0 and characteristic strain amplitude h c of binaries systems and the evolution of their orbital frequency f orb . LEGWORK is also used to calculate SNRs of GW emitted from inspiraling binary systems as detected by certain GW detectors.…”
Section: Gravitational Wavesmentioning
confidence: 99%
“…Here, we use the Python package LEGWORK 5 (Wagg et al 2021) to calculate the strain amplitude h 0 and characteristic strain amplitude h c of binaries systems and the evolution of their orbital frequency f orb . LEGWORK is also used to calculate SNRs of GW emitted from inspiraling binary systems as detected by certain GW detectors.…”
Section: Gravitational Wavesmentioning
confidence: 99%
“…We use LEGWORK 2 (Wagg et al 2021) to determine the detectability of our simulated DWD populations for sources with GW frequencies f GW > 10 −4 Hz. LEGWORK calculates the position-, orientation-, and angle-averaged signal to noise ratio (SNR) for inspiraling GW sources closely following the derivations of Flanagan & Hughes (1998) and using the LISA noise power spectral density (PSD) of Robson et al (2019).…”
Section: Lisa Detectabilitymentioning
confidence: 99%