Systematic bias due to mismodelling precessing binary black hole ringdown
Cheng Foo, Eleanor Hamilton

TL;DR
This paper identifies a systematic bias in gravitational waveform models caused by mismodelling the ringdown frequency in precessing binary black hole systems, especially affecting high-mass, high-spin, and inclined systems.
Contribution
It reveals a new source of bias in waveform modelling due to ringdown frequency mismodelling in the co-precessing frame, impacting parameter estimation accuracy.
Findings
Bias affects high-mass systems significantly
High mass ratios and spins exacerbate the bias
Current models do not address this mismodelling issue
Abstract
Accurate waveform modelling is crucial for parameter estimation in gravitational wave astronomy, impacting our understanding of source properties and the testing of general relativity. The precession of orbital and spin angular momenta in binary black hole (BBH) systems with misaligned spins presents a complex challenge for gravitational waveform modelling. Current precessing BBH waveform models employ a co-precessing frame, which precesses along with the binary. In this paper, we investigate a source of bias stemming from the mismodelling of ringdown frequency in the co-precessing frame. We find that this mismodelling of the co-precessing frame ringdown frequency introduces systematic biases in parameter estimation, for high mass systems in particular, and in the Inspiral-Merger-Ringdown (IMR)-consistency test of general relativity. Employing the waveform model IMRPhenomXPHM, we…
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Taxonomy
TopicsComputational Physics and Python Applications · Pulsars and Gravitational Waves Research · Astrophysical Phenomena and Observations
