The Missing Link: Bayesian Detection and Measurement of Intermediate-Mass Black-Hole Binaries
Philip B. Graff, Alessandra Buonanno, B. S. Sathyaprakash

TL;DR
This paper uses Bayesian analysis of gravitational-wave signals from intermediate-mass black-hole binaries to improve mass measurements and demonstrate the potential of gravitational waves to study these elusive objects.
Contribution
It introduces advanced waveform models including subleading modes for better parameter estimation of IMBH binaries in gravitational-wave data.
Findings
Subleading modes improve mass measurement accuracy.
High-mass signals resemble bursts, enabling total mass estimation.
Uncertainties in mass measurements are within 20-60% at SNR 12.
Abstract
We perform Bayesian analysis of gravitational-wave signals from non-spinning, intermediate-mass black-hole binaries (IMBHBs) with observed total mass, , from to and mass ratio using advanced LIGO and Virgo detectors. We employ inspiral-merger-ringdown waveform models based on the effective-one-body formalism and include subleading modes of radiation beyond the leading mode. The presence of subleading modes increases signal power for inclined binaries and allows for improved accuracy and precision in measurements of the masses as well as breaking of extrinsic parameter degeneracies. For low total masses, , the observed chirp mass ( being the symmetric mass ratio) is better measured. In…
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