2021
DOI: 10.48550/arxiv.2109.10972
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Observationally driven Galactic double white dwarf population for LISA

Valeriya Korol,
Na'ama Hallakoun,
Silvia Toonen
et al.

Abstract: Realistic models of the Galactic double white dwarf (DWD) population are crucial for testing and quantitatively defining the science objectives of the Laser Interferometer Space Antenna (LISA), a future European Space Agency's gravitational-wave observatory. In addition to numerous individually detectable DWDs, LISA will also detect an unresolved confusion foreground produced by the underlying Galactic population, which will affect the detectability of all LISA sources at frequencies below a few mHz. So far, t… Show more

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“…The resolved population will enable the study of several important aspects of binary evolution like the strength of tides (Valsecchi et al 2012) and the stability of mass transfer in DWD systems (e.g., Marsh et al 2004;Shen 2015;Gokhale et al 2007;Sepinsky & Kalogera 2014;Kremer et al 2015) as well as provide a probe of Galac-tic structure (Korol et al 2019) and the Local Group (Korol et al 2018). The shape and strength of the Galactic DWD foreground can also be used as a tool to study the structure of the Milky Way (Benacquista & Holley-Bockelmann 2006;Breivik et al 2020a) as well as the separation distribution of close DWDs (Korol et al 2021).…”
Section: Introductionmentioning
confidence: 99%
“…The resolved population will enable the study of several important aspects of binary evolution like the strength of tides (Valsecchi et al 2012) and the stability of mass transfer in DWD systems (e.g., Marsh et al 2004;Shen 2015;Gokhale et al 2007;Sepinsky & Kalogera 2014;Kremer et al 2015) as well as provide a probe of Galac-tic structure (Korol et al 2019) and the Local Group (Korol et al 2018). The shape and strength of the Galactic DWD foreground can also be used as a tool to study the structure of the Milky Way (Benacquista & Holley-Bockelmann 2006;Breivik et al 2020a) as well as the separation distribution of close DWDs (Korol et al 2021).…”
Section: Introductionmentioning
confidence: 99%