Memory effect or cosmic string? Classifying gravitational-wave bursts with Bayesian inference

Atul K. Divakarla, Eric Thrane, Paul D. Lasky, Bernard F. Whiting

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Abstract

In the event of a gravitational-wave burst candidate, a key question will be which astrophysical signal hypothesis is most likely? Several different gravitational-wave transient sources can be modeled in the Fourier domain using a simple power law. This power-law model provides a reasonable approximation for gravitational-wave bursts from cosmic string cusps, cosmic string kinks, and the memory effect. Each of these sources is described using a different spectral index. In this work, we simulate interferometer strain data with injections of memory and other power-law bursts to demonstrate model selection in support of signal detection and for use in parameter estimation. We show how Bayesian inference can be used to measure the power-law spectral index, thereby distinguishing between different astrophysical scenarios. We propose a strategy for model selection of power-law burst signals for gravitational-wave candidates, and we aim to use this analysis to determine whether a specific candidate can be best described by a compact binary coalescence (CBC) signal or by some other interesting astrophysical mechanism.

Original languageEnglish
Article number023010
Number of pages7
JournalPhysical Review D
Volume102
Issue number2
DOIs
Publication statusPublished - 15 Jul 2020

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