Waveform Reconstruction of Core-Collapse Supernova Gravitational Waves with Improved Multisynchrosqueezing Transform
Yong Yuan, Ao-Ran Wang, Zhuo-Tao Li, Gang Yu, Hou-Jun L\"u, Peng Xu,, Xi-Long Fan

TL;DR
This paper introduces an improved multisynchrosqueezing transform (IMSST) method to effectively reconstruct complex gravitational wave signals from core-collapse supernovae, enhancing detection distance and accuracy for advanced detectors.
Contribution
The paper presents a novel IMSST technique that outperforms traditional methods like STFT in reconstructing supernova gravitational waveforms from simulated data.
Findings
IMSST achieves maximum reconstruction distances of ~37 kpc (aLIGO) and ~317 kpc (ET).
FAPR values indicate high confidence in waveform reconstruction at specified distances.
IMSST outperforms STFT in waveform reconstruction distance using ET data.
Abstract
Gravitational waves (GWs) from core-collapse supernovae (CCSNe) have been proposed as a means to probe the internal physical properties of supernovae. However, due to their complex time-frequency structure, effectively searching for and extracting GW signals from CCSNe remains an unsolved challenge. In this paper, we apply the improved multisynchrosqueezing transform (IMSST) method to reconstruct simulated GW data based on the advanced LIGO (aLIGO) and Einstein Telescope (ET) detectors. These data are generated by the magnetorotational and neutrino-driven mechanisms, and we use the match score as the criterion for evaluating the quality of the reconstruction. To assess whether the reconstructed waveforms correspond to true GW signals, we calculate the false alarm probability of reconstruction (FAPR). For GW sources located at 10 kpc and datasets where the waveform amplitudes are…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Pulsars and Gravitational Waves Research · Methane Hydrates and Related Phenomena
