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Using predictions from three-dimensional (3D) hydrodynamics simulations ofcore-collapse supernovae (CCSNe), we present a coherent network analysis todetection, reconstruction, and the source localization of thegravitational-wave (GW) signals. We use the {\tt RIDGE} pipeline for theanalysis, in which the network of LIGO Hanford, LIGO Livingston, VIRGO, andKAGRA is considered. By combining with a GW spectrogram analysis, we show thatseveral important hydrodynamics features in the original waveforms persist inthe waveforms of the reconstructed signals. The characteristic excess in thespectrograms originates not only from rotating core-collapse, bounce and thesubsequent ring down of the proto-neutron star (PNS) as previously identified,but also from the formation of magnetohydrodynamics jets and non-axisymmetricinstabilities in the vicinity of the PNS. Regarding the GW signals emitted nearat the rotating core bounce, the horizon distance extends up to $\sim$ 18 kpcfor the most rapidly rotating 3D model in this work. Following the rotatingcore bounce, the dominant source of the GW emission shifts to thenon-axisymmetric instabilities. The horizon distances extend maximally up to$\sim$ 40 kpc seen from the spin axis. With an increasing number of 3D modelstrending towards explosion recently, our results suggest that in addition tothe best studied GW signals due to rotating core-collapse and bounce, the timeis ripe to consider how we can do science from GWs of CCSNe much more seriouslythan before. Particularly the quasi-periodic signals due to thenon-axisymmetric instabilities and the detectability should deserve furtherinvestigation to elucidate the inner-working of the rapidly rotating CCSNe.

Coherent Network Analysis of Gravitational Waves from Three-Dimensional Core-Collapse Supernova Models