Accuracy of binary black hole waveform models for aligned-spin binaries
Prayush Kumar, Tony Chu, Heather Fong, Harald P. Pfeiffer, Michael, Boyle, Daniel A. Hemberger, Lawrence E. Kidder, Mark A. Scheel, and Bela, Szilagyi

TL;DR
This study evaluates the accuracy of recent binary black hole waveform models for aligned-spin systems using high-precision simulations, highlighting their effectiveness for detection and parameter estimation in gravitational wave astronomy.
Contribution
It provides a comprehensive comparison of waveform models, identifying their strengths and limitations across different mass ratios and spin configurations, and introduces a new set of high-accuracy simulations.
Findings
PhenomD and SEOBNRv2 perform well for detection with minimal SNR loss.
Model inaccuracies are smaller than systematic uncertainties for moderate SNR events.
Accuracy decreases with higher mass ratios and large aligned spins.
Abstract
Coalescing binary black holes are among the primary science targets for second generation ground-based gravitational wave (GW) detectors. Reliable GW models are central to detection of such systems and subsequent parameter estimation. This paper performs a comprehensive analysis of the accuracy of recent waveform models for binary black holes with aligned spins, utilizing a new set of high-accuracy numerical relativity simulations. Our analysis covers comparable mass binaries (), and samples independently both black hole spins up to dimensionless spin-magnitude of for equal-mass binaries and for unequal mass binaries. Furthermore, we focus on the high-mass regime (total mass ). The two most recent waveform models considered (PhenomD and SEOBNRv2) both perform very well for signal detection, losing less than 0.5\% of the recoverable…
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