Intermediate and Extreme Mass-Ratio Inspirals -- Astrophysics, Science Applications and Detection using LISA
Pau Amaro-Seoane, Jonathan R. Gair, Marc Freitag, M. Coleman Miller, Ilya Mandel, Curt J. Cutler, Stanislav Babak
TL;DR
The review analyzes how intermediate and extreme mass-ratio inspirals (IMRIs/EMRIs) will enable high-fidelity measurements of massive black holes and rigorous tests of general relativity in the strong-field regime with LISA. It synthesizes astrophysical formation channels, numerical dynamics, and data-analysis/waveform modelling approaches—including PN, numerical relativity, self-force, adiabatic, and kludge templates—and discusses detection strategies amid a crowded LISA data stream. It highlights key unsolved questions in event rates, dynamical processes near MBHs (e.g., resonant relaxation, mass segregation), and the development of efficient, accurate waveforms for parameter extraction and GR tests. The work emphasizes the potential for precise MBH mass/spin measurements, insights into galaxy evolution and cosmology, and robust tests of Kerr black-hole spacetimes, underlining the need for continued progress in numerical simulations and waveform sophistication to realize LISA's scientific payoff.
Abstract
Black hole binaries with extreme ($\gtrsim 10^4:1$) or intermediate ($\sim 10^2-10^4:1$) mass ratios are among the most interesting gravitational wave sources that are expected to be detected by the proposed Laser Interferometer Space Antenna. These sources have the potential to tell us much about astrophysics, but are also of unique importance for testing aspects of the general theory of relativity in the strong field regime. Here we discuss these sources from the perspectives of astrophysics, data analysis, and applications to testing general relativity, providing both a description of the current state of knowledge and an outline of some of the outstanding questions that still need to be addressed. This review grew out of discussions at a workshop in September 2006 hosted by the Albert Einstein Institute in Golm, Germany.
