Binary Black Hole inspirals cannot hide their eccentricity

TL;DR

This paper presents a fast, likelihood-based method for constraining the eccentricity of binary black hole inspirals using time-frequency data, improving the ability to analyze gravitational wave signals efficiently.

Contribution

It introduces an improved pixel collection and likelihood sampling approach that provides rapid and accurate eccentricity constraints from gravitational wave data.

Findings

Can constrain eccentricity within 0.2 of true value

Provides eccentricity estimates in 5 minutes on 50-core machine

Demonstrates effectiveness on 500 simulated eccentric systems

Abstract

The events detected by the LIGO Virgo KAGRA collaboration over a period of 10 years have yielded a treasure trove of signals from compact binary coalescences. None of these events have shown a confident signature of eccentricity. With upgrades to the existing network and potential next generation gravitational wave detectors, we will be able to see much further into the universe increasing the likelihood of detecting eccentric systems. We improve upon the phenomenological approach of providing eccentricity constraints using an effective chirp mass model in the time frequency domain. We introduce an improved pixel collection method along with a likelihood based sampling approach inspired by Bayesian parameter estimation. Our approach constructs a likelihood from the product of energies collected across different eccentric harmonics in the time frequency representation. This formulation enables coarse but meaningful constraints on orbital eccentricity. Additionally, we incorporate information from the energy ratios between eccentric harmonics, further refining the eccentricity estimates. We test our approach on 500 non spinning equal mass eccentric systems and demonstrate that we can constrain the eccentricity within 0.2 around the true value. Moreover, our approach can deliver these constraints in 5 minutes on a machine with 50 cores. These results demonstrate that our phenomenological approach provides fast and reasonably accurate eccentricity estimates, making it a promising tool for rapid gravitational wave data analysis.