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 |
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Article number | 084029 |
Journal | Physical Review D |
Volume | 81 |
Issue number | 8 |
DOIs | |
Publication status | Published - 15 Apr 2010 |