Gravitational-wave signal of a core-collapse supernova explosion of a 15 Solar mass star
Anthony Mezzacappa, Pedro Marronetti, Ryan E. Landfield, Eric J., Lentz, Konstantin N. Yakunin, Stephen W. Bruenn, W. Raphael Hix, O.E. Bronson, Messer, Eirik Endeve, John M. Blondin, J. Austin Harris

TL;DR
This paper presents a detailed 3D simulation of gravitational wave signals from a 15 solar mass core-collapse supernova, identifying key frequency features and their physical origins, and compares detectability with current and future detectors.
Contribution
First detailed 3D gravitational wave signal analysis from a supernova simulation highlighting the physical origins of different frequency components.
Findings
High-frequency emission (>600 Hz) dominates the GW signal.
Low-frequency emission (<200 Hz) linked to SASI and convection.
SASI classified as p-mode with an acoustic origin.
Abstract
We report on the gravitational wave signal computed in the context of a three-dimensional simulation of a core collapse supernova explosion of a 15 Solar mass star. The simulation was performed with our neutrino hydrodynamics code Chimera. We detail the gravitational wave strains as a function of time, for both polarizations, and discuss their physical origins. We also present the corresponding spectral signatures. Gravitational wave emission in our model has two key features: low-frequency emission (< 200 Hz) emanates from the gain layer as a result of neutrino-driven convection and the SASI and high-frequency emission (> 600 Hz) emanates from the proto-neutron star due to Ledoux convection within it. The high-frequency emission dominates the gravitational wave emission in our model and emanates largely from the convective layer itself, not from the convectively stable layer above it,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
