情報処理学会 第83回全国大会 会期:2021年3月18日~20日 会場:オンライン開催 情報処理学会 第83回全国大会 会期:2021年3月18日~20日 会場:オンライン開催

5J-04
Effectiveness of Hilbert Huang Transform for analyzing gravitational wave data from supernova
○Malith De Silva,Katsuko T. Nakahira(Nagaoka University of Technology),Mei Takeda,Nobuyuki Kanda(Osaka City University),Ken-ichi Oohara(Niigata University),Tomoya Takiwaki(National Astronomical Observatory of Japan),Kei Kotake(Fukuoka University),Hirotaka Takahashi(Tokyo City University)
With the strain sensitivity improvement of the next generation GW detectors, it is expected to detect GW from SN being SN as one of the promising sources. Therefore, data analysis of GW from SN is essential, however, the identification of frequency features is the main issue by the conventional method Short Time Fourier Transform (STFT) due to low resolution nature. This research work focused on the comparison of effectiveness of identification of frequency features by STFT and Hilbert-Huang Transform (HHT) due to HHT having high resolution nature. Comparison of effectiveness of STFT and HHT on analysis of GW is reported.