# Parallelized inference for gravitational-wave astronomy

@article{Talbot2019ParallelizedIF, title={Parallelized inference for gravitational-wave astronomy}, author={Colm Talbot and Rory S. Smith and Eric Thrane and Gregory B. Poole}, journal={Physical Review D}, year={2019}, volume={100}, pages={043030} }

Bayesian inference is the workhorse of gravitational-wave astronomy, for example, determining the mass and spins of merging black holes, revealing the neutron star equation of state, and unveiling the population properties of compact binaries. The science enabled by these inferences comes with a computational cost that can limit the questions we are able to answer. This cost is expected to grow. As detectors improve, the detection rate will go up, allowing less time to analyze each event… CONTINUE READING

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