Airy-function approach to binary black hole merger waveforms: The fold-caustic diffraction model
Jos\'e Luis Jaramillo, Badri Krishnan

TL;DR
This paper introduces a novel model for binary black hole merger waveforms using Airy functions, based on caustic diffraction phenomena, to explain the universal features observed in gravitational wave signals.
Contribution
It proposes a new analytical waveform model rooted in catastrophe theory and optical caustics, capturing the universal features of black hole mergers.
Findings
The Airy-function model captures the universal amplitude increase near merger.
The model explains the transition from oscillatory to damped regimes.
It provides a method to smoothly match inspiral and post-merger signals.
Abstract
From numerical simulations of the Einstein equations, and also from gravitational wave observations, the gravitational wave signal from a binary black hole merger is seen to be simple and to possess certain universal features. The simplicity is somewhat surprising given that non-linearities of general relativity are thought to play an important role at the merger. The universal features include an increasing amplitude as we approach the merger, where transition from an oscillatory to a damped regime occurs in a pattern apparently oblivious to the initial conditions. We propose an Airy-function pattern to model the binary black hole (BBH) merger waveform, focusing on accounting for its simplicity and universality. We postulate that the relevant universal features are controlled by a physical mechanism involving: i) a caustic phenomenon in a basic `geometric optics' approximation and, ii)…
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 · Adaptive optics and wavefront sensing
