Gravitational-wave inference for eccentric binaries: the argument of periapsis
Teagan A. Clarke, Isobel M. Romero-Shaw, Paul D. Lasky, Eric Thrane

TL;DR
This paper investigates how the initial argument of periapsis affects gravitational waveforms from eccentric binary black hole mergers and its implications for astrophysical parameter inference.
Contribution
It introduces the importance of including the argument of periapsis in waveform models and assesses its impact on gravitational wave data analysis.
Findings
The argument of periapsis influences waveform morphology.
Current models may already be affected by this parameter.
Resolving the argument of periapsis requires loud gravitational wave signals.
Abstract
Gravitational waves from binary black hole mergers have allowed us to directly observe stellar-mass black hole binaries for the first time, and therefore explore their formation channels. One of the ways to infer how a binary system is assembled is by measuring the system's orbital eccentricity. Current methods of parameter estimation do not include all physical effects of eccentric systems such as spin-induced precession, higher-order modes, and the initial argument of periapsis: an angle describing the orientation of the orbital ellipse. We explore how varying the argument of periapsis changes gravitational waveforms and study its effect on the inference of astrophysical parameters. We use the eccentric spin-aligned waveforms TEOBResumS and SEOBNRE to measure the change in the waveforms as the argument of periapsis is changed. We find that the argument of periapsis could already be…
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 · Astrophysical Phenomena and Observations · Superconducting Materials and Applications
