Gravitational waves have been detected from the inspiral of a binary neutron-star, GW170817, which allowed constraints to be placed on the neutron star equation of state. The equation of state can be further constrained if gravitational waves from a post-merger remnant are detected. Post-merger waveforms are currently generated by numerical-relativity simulations, which are computationally expensive. Here we introduce a hierarchical model trained on numerical-relativity simulations, which can generate reliable post-merger spectra in a fraction of a second. Our spectra have mean fitting factors of 0.95, which compares to fitting factors of 0.76 and 0.85 between different numerical-relativity codes that simulate the same physical system. This method is the first step towards generating large template banks of spectra for use in post-merger detection and parameter estimation.
@article{arxiv.1811.11183,
title = {Computing Fast and Reliable Gravitational Waveforms of Binary Neutron Star Merger Remnants},
author = {Paul J. Easter and Paul D. Lasky and Andrew R. Casey and Luciano Rezzolla and Kentaro Takami},
journal= {arXiv preprint arXiv:1811.11183},
year = {2019}
}