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Assessing the Readiness of Numerical Relativity for LISA and 3G Detectors

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arxiv 2006.04272 v3 pith:U2NHKFUQ submitted 2020-06-07 gr-qc

Deborah Ferguson , Karan Jani , Pablo Laguna , Deirdre Shoemaker This is my paper · ORCID
classification gr-qc
keywords numericalrelativitycriteriadetectorsbinarycodeinterestlisa
verification ladder T0 review T1 audit T2 compute T3 formal
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Future detectors such as LISA promise signal-to-noise ratios potentially in the thousands and data containing simultaneous signals. Accurate numerical relativity waveforms will be essential to maximize the science return. A question of interest to the broad gravitational wave community is: Are the numerical relativity codes ready to face this challenge? Towards answering this question, we provide a new criteria to identify the minimum resolution a simulation must have as a function of signal-to-noise ratio in order for the numerical relativity waveform to be indistinguishable from a true signal. This criteria can be applied to any finite-differencing numerical relativity code with multiple simulations of differing resolutions for the desired binary parameters and waveform length. We apply this criteria to binary systems of interest with the fourth-order MAYA code to obtain the first estimate of the minimum resolution a simulation must have to be prepared for next generation detectors.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Impact of numerical-relativity waveform calibration on parametrized post-Einsteinian tests

    gr-qc 2026-03 accept novelty 6.0 of 10

    NR late-inspiral calibration systematics in IMRPhenomD produce false ppE GR violations at O5 SNRs ≳60; an uncertainty-aware baseline restores consistency with GR up to SNR 330.

  2. On the use and interpretation of signal-model indistinguishability measures for gravitational-wave astronomy

    gr-qc 2025-06 accept novelty 5.0 of 10

    Using mismatch distances computed at best-fit parameters, per parameter, the paper predicts accurate bias SNRs for aligned-spin binary black hole measurements and derives waveform accuracy requirements for next-genera...

  3. Multimode ringdown modelling with $\texttt{qnmfits}$ and $\texttt{KerrRingdown}$

    gr-qc 2025-02 conditional novelty 4.0 of 10

    qnmfits and KerrRingdown are two independently written, cross-verified software packages for performing multimode ringdown fits to numerical relativity waveforms.

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