Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using LALInference. The Advanced LIGO and Advanced Virgo gravitational wave (GW) detectors will begin operation in the coming years, with compact binary coalescence events a likely source for the first detections. The gravitational waveforms emitted directly encode information about the sources, including the masses and spins of the compact objects. Recovering the physical parameters of the sources from the GW observations is a key analysis task. This work describes the LALInference software library for Bayesian parameter estimation of compact binary coalescence (CBC) signals, which builds on several previous methods to provide a well-tested toolkit which has already been used for several studies. We are able to show using three independent sampling algorithms that our implementation consistently converges on the same results, giving confidence in the parameter estimates thus obtained. ...
References in zbMATH (referenced in 1 article )
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- Del Pozzo, Walter; Grover, Katherine; Mandel, Ilya; Vecchio, Alberto: Testing general relativity with compact coalescing binaries: comparing exact and predictive methods to compute the Bayes factor (2014)