Extrapolating gravitational-wave data from numerical simulations
Michael Boyle, Abdul H. Mrou\'e

TL;DR
This paper introduces two new algorithms to accurately extrapolate gravitational-wave data from numerical simulations, reducing near-field errors that can impact LIGO data analysis.
Contribution
It presents two novel extrapolation techniques for gravitational-wave data, demonstrating their effectiveness and agreement in a specific black-hole binary simulation.
Findings
Extrapolation reduces errors in waveform extraction.
The two methods produce consistent results within error margins.
Improves the reliability of gravitational-wave data analysis.
Abstract
Two complementary techniques are developed for obtaining the asymptotic form of gravitational-wave data at large radii from numerical simulations, in the form of easily implemented algorithms. It is shown that, without extrapolation, near-field effects produce errors in extracted waveforms that can significantly affect LIGO data analysis. The extrapolation techniques are discussed in the context of Newman--Penrose data applied to extrapolation of waveforms from an equal-mass, nonspinning black-hole binary simulation. The results of the two methods are shown to agree within error estimates. The various benefits and deficiencies of the methods are discussed.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
