Heterodyned Likelihood for Rapid Gravitational Wave Parameter Inference

Abstract

Inferring the source properties of a gravitational wave signal has traditionally been very computationally intensive and time consuming. In recent years, several techniques have been developed that can significantly reduce the computational cost while delivering rapid and accurate parameter inference. One of the most powerful of these techniques is the heterodyned likelihood, which uses a reference waveform to base-band the likelihood calculation. Here an efficient implementation of the heterodyned likelihood is presented that can be used for a wide range of signal types and for both ground based and space based interferometers. The computational savings relative to direct calculation of the likelihood vary between two and four orders of magnitude depending on the system. The savings are greatest for low mass systems such as neutron star binaries. The heterodyning procedure can incorporate marginalization over calibration uncertainties and the noise power spectrum.

8 pages, 12 figures

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Cited by in corpus (9)

• Constraints on the maximum densities of neutron stars from postmerger gravitational waves with third-generation observations
• Removing degeneracy and multimodality in gravitational wave source parameters
• Accurate modeling and mitigation of overlapping signals and glitches in gravitational-wave data
• Accelerating multimodal gravitational waveforms from precessing compact binaries with artificial neural networks
• Fast likelihood evaluation using meshfree approximations for reconstructing compact binary sources
• Low Latency Detection of Massive Black Hole Binaries
• Extending the Fisher Information Matrix in Gravitational-wave Data Analysis
• Parameter Estimation with Nonstationary Noise in Gravitational-wave Data
• A fully-automated end-to-end pipeline for massive black hole binary signal extraction from LISA data