Mass ratio reversals produce qualitatively different contributions to BBH merger rates and masses in COMPAS versus SEVN simulations, with core-growth dominating and most systems arising from massive low-metallicity progenitors.
Galactic Binaries as Sources of Gravitational Waves
2 Pith papers cite this work, alongside 16 external citations. Polarity classification is still indexing.
abstract
I review the expected Galactic sources of gravitational waves, concentrating on the low-frequency domain and summarise the current observational and theoretical knowledge we have. A model for the Galactic population of close binaries, which is tested against the observations is used to predict the expected signal for the future space based gravitational wave detector LISA. With a simple model for the electro-magnetic emission from the same binaries I argue that a fair number of the LISA systems have electro-magnetic counterparts, which can be used to improve in particular the distance and mass measurements of these systems by LISA. Furthermore, LISA will enable us to test some aspects of the theory of binary evolution that are very difficult to asses in different ways.
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Adding a prior linking GW frequency f to its derivative ḏ from detached white dwarf mass limits to the GBSIEVER iterative pipeline raises resolved DWD sources by ~7.3% for LISA and ~14.6% for the LISA-Taiji network on simulated data.
citing papers explorer
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Massquerade: Impacts of Mass Ratio Reversals on Binary Black Hole Merger Rates and Mass Distributions
Mass ratio reversals produce qualitatively different contributions to BBH merger rates and masses in COMPAS versus SEVN simulations, with core-growth dominating and most systems arising from massive low-metallicity progenitors.
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Improving the resolution of double white dwarf systems with spaceborne gravitational wave observatories using a robust astrophysical prior
Adding a prior linking GW frequency f to its derivative ḏ from detached white dwarf mass limits to the GBSIEVER iterative pipeline raises resolved DWD sources by ~7.3% for LISA and ~14.6% for the LISA-Taiji network on simulated data.