Estimating parameters of binary black holes from gravitational-wave observations of their inspiral, merger and ringdown
Archisman Ghosh, Walter Del Pozzo, Parameswaran Ajith

TL;DR
This paper evaluates how accurately gravitational-wave observations can measure parameters of black-hole binaries, highlighting the potential for mass, spin, and distance estimation with current and future detector networks.
Contribution
It provides a detailed analysis of parameter estimation errors for black-hole binaries using Bayesian methods and simulates populations to assess measurement accuracies.
Findings
Over 50% of binary component masses can be measured within 25% accuracy.
Final black hole mass can be estimated with about 18% median error.
Adding detectors in Japan and India improves sky localization and mass estimation.
Abstract
We characterize the expected statistical errors with which the parameters of black-hole binaries can be measured from gravitational-wave (GW) observations of their inspiral, merger and ringdown by a network of second-generation ground-based GW observatories. We simulate a population of black-hole binaries with uniform distribution of component masses in the interval , distributed uniformly in comoving volume, with isotropic orientations. From signals producing signal-to-noise ratio in at least two detectors, we estimate the posterior distributions of the binary parameters using the Bayesian parameter estimation code LALInference. The GW signals will be redshifted due to the cosmological expansion and we measure only the "redshifted" masses. By assuming a cosmology, it is possible to estimate the gravitational masses by inferring the redshift from the measured…
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