Assessing the model waveform accuracy of gravitational waves
Qian Hu, John Veitch

TL;DR
This paper introduces a new method to assess gravitational wave model accuracy without relying on numerical relativity simulations, enabling comprehensive evaluation across parameter space and highlighting areas needing improved waveform models.
Contribution
The authors propose a novel assessment approach that compares waveform models directly, bypassing the need for true waveforms from numerical relativity, and apply it to real GW data for validation.
Findings
Waveform accuracy varies with source parameters.
Models often underestimate errors in high SNR events.
Current models need at least 1000x improvement for future detectors.
Abstract
With the improvement in sensitivity of gravitational wave (GW) detectors and the increasing diversity of GW sources, there is a strong need for accurate GW waveform models for data analysis. While the current model accuracy assessments require waveforms generated by numerical relativity (NR) simulations as the "true waveforms", in this paper we propose an assessment approach that does not require NR simulations, which enables us to assess model accuracy everywhere in the parameter space. By measuring the difference between two waveform models, we derive a necessary condition for a pair of waveform models to both be accurate, for a particular set of parameters. We then apply this method to the parameter estimation samples of the Gravitational-Wave Transient Catalogs GWTC-3 and GWTC-2.1, and find that the waveform accuracy for high signal-to-noise ratio events in some cases fails our…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Advanced Frequency and Time Standards · Geophysics and Gravity Measurements
