Inferring the core-collapse supernova explosion mechanism with gravitational waves

Abstract

A detection of a core-collapse supernova (CCSN) gravitational-wave (GW) signal with an Advanced LIGO and Virgo detector network may allow us to measure astrophysical parameters of the dying massive star. GWs are emitted from deep inside the core and, as such, they are direct probes of the CCSN explosion mechanism. In this study we show how we can determine the CCSN explosion mechanism from a GW supernova detection using a combination of principal component analysis and Bayesian model selection. We use simulations of GW signals from CCSN exploding via neutrino-driven convection and rapidly-rotating core collapse. Previous studies have shown that the explosion mechanism can be determined using one LIGO detector and simulated Gaussian noise. As real GW detector noise is both non-stationary and non-Gaussian we use real detector noise from a network of detectors with a sensitivity altered to match the advanced detectors design sensitivity. For the first time we carry out a careful selection of the number of principal components to enhance our model selection capabilities. We show that with an advanced detector network we can determine if the CCSN explosion mechanism is neutrino-driven convection for sources in our Galaxy and rapidly-rotating core collapse for sources out to the Large Magellanic Cloud.

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Cited by in corpus (13)

• Nested sampling for physical scientists
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• The final core collapse of pulsational pair instability supernovae
• Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission
• Astrophysics with core-collapse supernova gravitational wave signals in the next generation of gravitational wave detectors
• Inferring the core-collapse supernova explosion mechanism with three-dimensional gravitational-wave simulations
• Gravitational-wave Signals From Three-dimensional Supernova Simulations With Different Neutrino-Transport Methods
• Beyond Gaussian Noise: A Generalized Approach to Likelihood Analysis with non-Gaussian Noise
• Reconstructing Gravitational Wave Core-Collapse Supernova Signals with Dynamic Time Warping
• Application of the Hilbert-Huang transform for analyzing standing-accretion-shock-instability induced gravitational waves in a core-collapse supernova
• Computational Techniques for Parameter Estimation of Gravitational Wave Signals
• The Yet-Unobserved Multi-Messenger Gravitational-Wave Universe