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2017

Statistical Gravitational Waveform Models: What to Simulate Next?

Doctor, Zoheyr, Farr, Ben, Holz, Daniel E. et al.

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Models of gravitational waveforms play a critical role in detecting and characterizing the gravitational waves (GWs) from compact binary coalescences.

Waveforms from numerical relativity (NR), while highly accurate, are too computationally expensive to produce to be directly used with Bayesian parameter estimation tools like Markov-chain-Monte-Carlo and nested sampling.
We propose a Gaussian process regression (GPR) method to generate accurate reduced-order-model waveforms based only on existing accurate (e.g.
NR) simulations.

Statistical Gravitational Waveform Models: What to Simulate Next? · Around

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