The impact of waveform systematics and Gaussian noise on the interpretation of GW231123
Sophie Bini, Krzysztof Kr\'ol, Katerina Chatziioannou, Maximiliano Isi

TL;DR
This study assesses how waveform systematics and Gaussian noise influence the interpretation of GW231123, confirming the robustness of key inferred properties like high mass and spin despite modeling and noise variations.
Contribution
It demonstrates that the high mass and spin properties of GW231123 are robust against model systematics and Gaussian noise effects.
Findings
Model systematics can be reproduced with simulated signals.
High mass and spin magnitudes are consistently supported across noise realizations.
Differences in detector-specific inference are not statistically significant.
Abstract
GW231123 is an exceptional gravitational-wave event consistent with the merger of two massive, highly-spinning black holes. Reliable inference of the source properties is crucial for accurate interpretation of its astrophysical implications. However, characterization of GW231123 is challenging: only few signal cycles are observed and different signal models result in systematically different parameters. We investigate whether the interpretation of GW231123 is robust against model systematics and Gaussian detector noise. We show that the model systematics observed in GW231123 can be reproduced for a simulated signal based on the numerical-relativity surrogate model NRSur7dq4. Simulating data using the maximum-likelihood NRSur7dq4 waveform for GW231123 and no noise realization, we closely recover the systematics observed for the real signal. We then explore how the headline properties of…
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