Detection and characterization of spin-orbit resonances in the advanced gravitational wave detectors era
Chaitanya Afle, Anuradha Gupta, Bhooshan Gadre, Prayush Kumar, Nick, Demos, Geoffrey Lovelace, Han Gil Choi, Hyung Mok Lee, Sanjit Mitra, Michael, Boyle, Daniel A. Hemberger, Lawrence E. Kidder, Harald P. Pfeiffer, Mark A., Scheel, and Bela Szilagyi

TL;DR
This study evaluates the effectiveness of various gravitational wave templates in detecting and characterizing spin-orbit resonant binaries, highlighting the superior performance of precessing templates and the need for improved models and search strategies.
Contribution
It provides a comprehensive comparison of template performance for spin-orbit resonant binaries using both waveform models and numerical relativity data, emphasizing the importance of precessing templates.
Findings
IMRPhenomD and SEOBNRv4 recover about 70% of injections with FF > 0.97.
IMRPhenomPv2 performs significantly better, recovering 99% of injections with FF > 0.97.
Parameter estimation errors are within acceptable ranges, with mass and spin parameters accurately recovered.
Abstract
In this paper, we test the performance of templates in detection and characterization of Spin-orbit resonant (SOR) binaries. We use precessing SEOBNRv3 waveforms as well as {\it four} numerical relativity (NR) waveforms to model GWs from SOR binaries and filter them through IMRPhenomD, SEOBNRv4 (non-precessing) and IMRPhenomPv2 (precessing) approximants. We find that IMRPhenomD and SEOBNRv4 recover only of injections with fitting factor (FF) higher than 0.97 (or 90\% of injections with ).However, using the sky-maxed statistic, IMRPhenomPv2 performs magnificently better than their non-precessing counterparts with recovering of the injections with FFs higher than 0.97. Interestingly, injections with have higher FFs ( is the angle between the components of the black hole spins in the plane orthogonal to the orbital…
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