Low-Frequency Gravitational Waves in Three-Dimensional Core-Collapse Supernova Models
Colter J. Richardson, Anthony Mezzacappa, Kya Schluterman, Haakon Andresen, Eric J. Lentz, Pedro Marronetti, Daniel Murphy, Michele Zanolin
TL;DR
This work analyzes low-frequency gravitational-wave signals from three nonrotating Chimera 3D core-collapse supernova models, focusing on memory-like emission arising from both fluid motion and anisotropic neutrino radiation. By deriving the TT-formulated fluid memory and a linearized GR treatment of neutrino memory, the authors show that neutrino anisotropy often dominates the $<250$ Hz band, with anisotropy well below $5\%$ yet producing comparable strains to fluid signals. They develop a logistic template to characterize the memory ramp-up via a ramp frequency $k$ and final amplitude $L$, and demonstrate that a template bank can enable matched-filtering searches across observer orientations. Reconstruction tests in real interferometric data reveal fluid-memory features are recoverable while neutrino-memory remains challenging to isolate with current pipelines, though future detectors (CE/ET/LISA) offer promising detection prospects for Galactic events and long-lived memories. Overall, the study provides a concrete framework for templated, multi-channel CCSN GW searches and underscores the potential of low-frequency memory as a multimessenger probe of core-collapse dynamics.
Abstract
We discuss the low-frequency gravitational wave signals from three state-of-the-art three-dimensional core-collapse supernova models produced with the \textsc{Chimera} supernova code. We provide a detailed derivation of the gravitational wave signal sourced from the anisotropic emission of neutrinos and provide the total (fluid sourced and neutrino sourced) gravitational waves signal generated in our models. We discuss the templatablity of this low-frequency signal, which is useful for future work involving matched filtering for signal detection and parameter estimation.
