We present an approach to detecting (linear) gravitational wave memory in a Galactic core-collapse supernova using current interferometers. Gravitational wave memory is an important prediction of general relativity that has yet to be confirmed. Our approach uses a combination of Linear Prediction Filtering and Matched-Filtering. We present the results of our approach on data from core-collapse supernova simulations that span a range of progenitor mass and metallicity. We are able to detect gravitational wave memory out to 10 kpc. We also present the False Alarm Probabilities assuming an On-Source Window compatible with the presence of a neutrino detection.
@article{arxiv.2404.02131,
title = {Detecting Gravitational Wave Memory in the Next Galactic Core-Collapse Supernova},
author = {Colter J. Richardson and Haakon Andresen and Anthony Mezzacappa and Michele Zanolin and Michael G. Benjamin and Pedro Marronetti and Eric J. Lentz and Marek J. Szczepanczyk},
journal= {arXiv preprint arXiv:2404.02131},
year = {2024}
}