Inferring Binary Properties from Gravitational Wave Signals
arXiv:2402.11439 · doi:10.1146/annurev-nucl-121423-100725
Abstract
This review provides a conceptual and technical survey of methods for parameter estimation of gravitational wave signals in ground-based interferometers such as LIGO and Virgo. We introduce the framework of Bayesian inference and provide an overview of models for the generation and detection of gravitational waves from compact binary mergers, focusing on the essential features that are observable in the signals. Within the traditional likelihood-based paradigm, we describe various approaches for enhancing the efficiency and robustness of parameter inference. This includes techniques for accelerating likelihood evaluations, such as heterodyne/relative binning, reduced-order quadrature, multibanding and interpolation. We also cover methods to simplify the analysis to improve convergence, via reparametrization, importance sampling and marginalization. We end with a discussion of recent developments in the application of likelihood-free (simulation-based) inference methods to gravitational wave data analysis.
28 pages, 3 figures. Accepted for publication in Annual Review of Nuclear and Particle Science. v2: GW200115 reanalyzed in Figure 2, to fix an issue with corrupted high-frequency data; plus minor edits
References in corpus (18)
- GW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral
- GW190814: Gravitational Waves from the Coalescence of a 23 M Black Hole with a 2.6 M Compact Object
- Constraining neutron star tidal Love numbers with gravitational wave detectors
- Robust parameter estimation for compact binaries with ground-based gravitational-wave observations using the LALInference software library
- Use and Abuse of the Fisher Information Matrix in the Assessment of Gravitational-Wave Parameter-Estimation Prospects
- An improved effective-one-body model of spinning, nonprecessing binary black holes for the era of gravitational-wave astrophysics with advanced detectors
- BayesWave: Bayesian Inference for Gravitational Wave Bursts and Instrument Glitches
- Multipolar Effective-One-Body Waveforms for Precessing Binary Black Holes: Construction and Validation
- The First Two Years of Electromagnetic Follow-Up with Advanced LIGO and Virgo
- Searching for Eccentricity: Signatures of Dynamical Formation in the First Gravitational-Wave Transient Catalogue of LIGO and Virgo
- Numerical Relativity and Astrophysics
- Parameter estimation with gravitational waves
- Bilby-MCMC: An MCMC sampler for gravitational-wave inference
- PhenomXO4a: a phenomenological gravitational-wave model for precessing black-hole binaries with higher multipoles and asymmetries
- Accelerating astronomical and cosmological inference with Preconditioned Monte Carlo
- A more effective coordinate system for parameter estimation of precessing compact binaries from gravitational waves
- Interpreting the results of searches for gravitational waves from coalescing binaries
- Prompt sky localization of compact binary sources using a meshfree approximation