Coherent Network Analysis of Gravitational Waves from Three-Dimensional Core-Collapse Supernova Models
Kazuhiro Hayama, Takami Kuroda, Kei Kotake, Tomoya Takiwaki

TL;DR
This paper presents a coherent network analysis of gravitational waves from 3D supernova models, revealing how various hydrodynamic features produce detectable signals and localizations, advancing gravitational wave astrophysics.
Contribution
It introduces a comprehensive analysis combining the RIDGE pipeline with spectrograms to identify and localize gravitational waves from 3D supernova simulations, highlighting new features like magnetohydrodynamic jets.
Findings
Detection horizon up to 40 kpc for non-axisymmetric instabilities
Hydrodynamic features persist in reconstructed waveforms
Enhanced understanding of GW signals from rotating core-collapse
Abstract
Using predictions from three-dimensional (3D) hydrodynamics simulations of core-collapse supernovae (CCSNe), we present a coherent network analysis to detection, reconstruction, and the source localization of the gravitational-wave (GW) signals. We use the {\tt RIDGE} pipeline for the analysis, in which the network of LIGO Hanford, LIGO Livingston, VIRGO, and KAGRA is considered. By combining with a GW spectrogram analysis, we show that several important hydrodynamics features in the original waveforms persist in the waveforms of the reconstructed signals. The characteristic excess in the spectrograms originates not only from rotating core-collapse, bounce and the subsequent ring down of the proto-neutron star (PNS) as previously identified, but also from the formation of magnetohydrodynamics jets and non-axisymmetric instabilities in the vicinity of the PNS. Regarding the GW signals…
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