Fast prediction and evaluation of eccentric inspirals using reduced-order models

TL;DR

This paper introduces a reduced-order-model approach to rapidly predict and evaluate eccentric inspiral gravitational waveforms, significantly speeding up data analysis without sacrificing accuracy.

Contribution

The paper develops a singular-value decomposition-based reduced basis method for efficient, accurate waveform prediction across a broad parameter space, including eccentric orbits.

Findings

Achieves speedups from hundreds to thousands in waveform evaluation.

Provides accurate waveform approximations within the parameter range.

Enhances data reduction and sampling for gravitational wave detection.

Abstract

A large number of theoretically predicted waveforms are required by matched-filtering searches for the gravitational-wave signals produced by compact binary coalescence. In order to substantially alleviate the computational burden in gravitational-wave searches and parameter estimation without degrading the signal detectability, we propose a novel reduced-order-model (ROM) approach with applications to adiabatic 3PN-accurate inspiral waveforms of sources that evolve on either highly or slightly eccentric orbits. We provide a singular-value decomposition-based reduced-basis method in the frequency domain to generate reduced-order approximations of any gravitational waves with acceptable accuracy and precision within the parameter range of the model. We construct efficient reduced bases comprised of a relatively small number of the most relevant waveforms over 3-dimensional parameter-space covered by the template bank (total mass $2.15M_{\odot} \leq M \leq 215M_{\odot}$, mass ratio $0.01 \leq q \leq 1$, and initial orbital eccentricity $0 \leq e_{0} \leq 0.95$). The ROM is designed to predict signals in the frequency band from 10 Hz to 2 kHz for aLIGO and aVirgo design sensitivity. Beside moderating the data reduction, finer sampling of fiducial templates improves the accuracy of surrogates. Considerable increase in the speedup from several hundreds to thousands can be achieved by evaluating surrogates for low-mass systems especially when combined with high-eccentricity.