Bayesian inference of binary black holes with inspiral-merger-ringdown waveforms using two eccentric parameters
Antoni Ramos-Buades, Alessandra Buonanno, Jonathan Gair

TL;DR
This study introduces a Bayesian inference method for eccentric binary black hole waveforms using two eccentric parameters, improving parameter estimation accuracy and assessing eccentricity in real GW signals.
Contribution
It is the first to incorporate two eccentric parameters in Bayesian inference for inspiral-merger-ringdown waveforms, enhancing sampling efficiency and bias assessment.
Findings
New parametrization improves sampling efficiency.
Neglecting relativistic anomaly causes biases in parameter estimation.
No significant eccentricity detected in analyzed GW signals.
Abstract
Orbital eccentricity is a crucial physical effect to unveil the origin of compact-object binaries detected by ground- and spaced-based gravitational-wave (GW) observatories. Here, we perform for the first time a Bayesian inference study of inspiral-merger-ringdown eccentric waveforms for binary black holes with non-precessing spins using two (instead of one) eccentric parameters: eccentricity and relativistic anomaly. We employ for our study the multipolar effective-one-body (EOB) waveform model SEOBNRv4EHM, and use initial conditions such that the eccentric parameters are specified at an orbit-averaged frequency. We show that this new parametrization of the initial conditions leads to a more efficient sampling of the parameter space. We also assess the impact of the relativistic-anomaly parameter by performing mock-signal injections, and we show that neglecting such a parameter can…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPulsars and Gravitational Waves Research · High-pressure geophysics and materials · Astrophysical Phenomena and Observations
