Abstract
Future ground-based and space-borne interferometric gravitational-wave detectors may capture between tens and thousands of binary coalescence events per year. There is a significant and growing body of work on the estimation of astrophysically relevant parameters, such as masses and spins, from the gravitational-wave signature of a single event. This paper introduces a robust Bayesian framework for combining the parameter estimates for multiple events into a parameter distribution of the underlying event population. The framework can be readily deployed as a rapid post-processing tool.
| Original language | English |
|---|---|
| Article number | 084029 |
| Journal | Physical Review D |
| Volume | 81 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 15 Apr 2010 |
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