Inferring Astrophysical Parameters of Core-Collapse Supernovae from their Gravitational-Wave Emission

Understand

Nearby core-collapse supernovae (CCSNe) are powerful multi-messenger sources for gravitational-wave, neutrino and electromagnetic telescopes as they emit gravitational waves in the ideal frequency band for ground based detectors.

• Once a CCSN gravitational-wave signal is detected, we will need to determine the parameters of the signal, and understand how those parameters relate to the source's explosion, progenitor and remnant properties.
• This is a challenge due to the stochastic nature of CCSN explosions, which is imprinted on their time series gravitational waveforms.
• In this paper, we perform Bayesian parameter estimation of CCSN signals using an asymmetric chirplet signal model to represent the dominant high-frequency mode observed in spectrograms of CCSN gravitational-wave signals.