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- A cosmological view of extreme mass-ratio inspirals in nuclear star clusters
- Mapelli, M.; Ripamonti, E.; Vecchio, A.; Graham, Alister W.; Gualandris, A.
- There is increasing evidence that many galaxies host both a nuclear star cluster (NC) and a super-massive black hole (SMBH). Their coexistence is particularly prevalent in spheroids with stellar mass 108–1010 M⊙. We study the possibility that a stellar-mass black hole (BH) hosted by a NC inspirals and merges with the central SMBH. Due to the high stellar density in NCs, extreme mass-ratio inspirals (EMRIs) of BHs onto SMBHs in NCs may be important sources of gravitational waves (GWs). We consider sensitivity curves for three different space-based GW laser interferometric mission concepts: the Laser Interferometer Space Antenna (LISA), the New Gravitational wave Observatory (NGO) and the DECi-hertz Interferometer Gravitational wave Observatory (DECIGO). We predict that, under the most optimistic assumptions, LISA and DECIGO will detect up to thousands of EMRIs in NCs per year, while NGO will observe up to tens of EMRIs per year. We explore how a number of factors may affect the predicted rates. In particular, if we assume that the mass of the SMBH scales with the square of the host spheroid mass in galaxies with NCs, rather than a linear scaling, then the event rates are more than a factor of 10 lower for both LISA and NGO, while they are almost unaffected in the case of DECIGO.
- Publication type
- Journal article
- Research centre
- Swinburne University of Technology. Faculty of Information and Communication Technologies. Centre for Astrophysics and Supercomputing
- Astronomy and Astrophysics, Vol. 542 (Jun 2012) article no. A102
- Publication year
- Black hole physics; Cosmology theory; Galaxies; Gravitational waves; Nuclei; Star clusters
- EDP Sciences
- Publisher URL
- Copyright © ESO 2012. The published version is reproduced in accordance with the copyright policy of the publisher.
- Research Projects
Massive black holes in dense star clusters, Australian Research Council grant number DP110103509
- Full text
- Peer reviewed