11 citations · 38 across the 4 of their papers we have counts for
4 papers
Parameter estimation of protoneutron stars from gravitational wave signals using the Hilbert-Huang transform
Seiya Sasaoka, Yusuke Sakai, Diego Dominguez +5
Core-collapse supernovae (CCSNe) are potential multimessenger events detectable by current and future gravitational wave (GW) detectors. The GW signals emitted during these events…
Comparative study of 1D and 2D convolutional neural network models with attribution analysis for gravitational wave detection from compact binary coalescences
Seiya Sasaoka, Naoki Koyama, Diego Dominguez +4
Recent advancements in gravitational wave astronomy have seen the application of convolutional neural networks (CNNs) in signal detection from compact binary coalescences. This stu…
Visualizing convolutional neural network for classifying gravitational waves from core-collapse supernovae
Seiya Sasaoka, Naoki Koyama, Diego Dominguez +4
In this study, we employ a convolutional neural network to classify gravitational waves originating from core-collapse supernovae. Training is conducted using spectrograms derived…
Localization of gravitational waves using machine learning
Seiya Sasaoka, Hirotaka Takahashi, Yilun Hou +1
An observation of gravitational waves is a trigger of the multi-messenger search of an astronomical event. A combination of the data from two or three gravitational wave telescopes…