A Novel Method to Construct Frequency-Domain Gravitational Waveform for Accelerating Sources

TL;DR

This paper introduces a frequency-domain spectral differentiation (FSD) method to model gravitational wave signals from accelerating sources, improving accuracy during the merger-ringdown phase without relying on traditional approximations.

Contribution

The novel FSD approach models acceleration effects directly in the frequency domain, surpassing SPA+PN limitations and enhancing waveform fidelity across all IMR phases.

Findings

FSD waveforms more accurately match simulated signals, especially during merger-ringdown.

FSD achieves higher precision in measuring effective acceleration than SPA+PN.

FSD provides a self-consistent framework for environmental effects in GW modeling.

Abstract

Accurately modeling the inspiral-merger-ringdown (IMR) signal of coalescing compact objects is essential for the test of general relativity. However, it is known that astrophysical environments can distort gravitational-wave (GW) signal and, if ignored, may bias parameter estimation or even our understanding of gravity. Previous studies suggest that various astrophysical environmental effects can be modeled in a unified way by introducing an effective acceleration. However, such models are based on stationary phase approximation (SPA) and post-Newtonian (PN) formalism, which are inconsistent with the fast orbital evolution and strong gravity in the final merger-ringdown phase. To overcome this limit, we introduce frequency-domain spectral differentiation (FSD), which maps the time shift of the signal caused by acceleration into a differentiation in the frequency domain. The mapping does not rely on SPA or PN formalism, therefore can be used to construct the accelerated waveform across the entire IMR phases. We compare the FSD waveforms with the conventional SPA+PN ones, and find that the former more faithfully match the simulated signals of accelerating sources, especially in the merger-ringdown phase and when higher-order FSD corrections are included. A Fisher information matrix analysis suggests that FSD waveforms can achieve higher precision than SPA+PN waveforms in measuring effective acceleration. Therefore, the FSD method offers a more self-consistent treatment of various astrophysical environmental effects in the final merger-ringdown phase of binary GW sources.