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arxiv: 0811.0188 · v2 · submitted 2008-11-02 · 🌀 gr-qc

Probing black holes at low redshift using LISA EMRI observations

classification 🌀 gr-qc
keywords lisablackwillemriemrisholesobservationspopulation
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One of the most exciting potential sources of gravitational waves for the Laser Interferometer Space Antenna (LISA) are the inspirals of approximately solar mass compact objects into massive black holes in the centres of galaxies - extreme mass ratio inspirals (EMRIs). LISA should observe between a few tens and a few hundred EMRIs over the mission lifetime, mostly at low redshifts (z < 1). Each observation will provide a measurement of the parameters of the host system to unprecendented precision. LISA EMRI observations will thus offer a new and unique way to probe black holes at low redshift. In this article we provide a description of the population of EMRI events that LISA is likely to observe, and describe how the numbers of events vary with changes in the underlying assumptions about the black hole population. We also provide fitting functions that characterise LISA's ability to detect EMRIs and which will allow LISA event rates to be computed for arbitrary population models. We finish with a discussion of an ongoing programme that will use these results to assess what constraints LISA observations could place on galaxy evolution models.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Constraints on the extreme mass-ratio inspiral population from LISA data

    gr-qc 2025-08 unverdicted novelty 5.0

    A neural-network-accelerated hierarchical Bayesian pipeline is developed and validated on a phenomenological model to constrain EMRI population parameters from LISA data.