4 citations · 4 across the 1 of their papers we have counts for
6 papers
Use of Excess Power Method and Convolutional Neural Network in All-Sky Search for Continuous Gravitational Waves
Takahiro S. Yamamoto, Takahiro Tanaka
The signal of continuous gravitational waves has a longer duration than the observation period. Even if the waveform in the source frame is monochromatic, we will observe the wavef…
Use of conditional variational auto encoder to analyze ringdown gravitational waves
Takahiro S. Yamamoto, Takahiro Tanaka
Recently, several deep learning methods are proposed for the gravitational wave data analysis. One is conditional variational auto encoder (CVAE), proposed by Gabbard et al. [1]. W…
Design and experimental demonstration of a laser modulation system for future gravitational-wave detectors
Kohei Yamamoto, Keiko Kokeyama, Yuta Michimura +12
Detuning the signal-recycling cavity length from a cavity resonance significantly improves the quantum noise beyond the standard quantum limit, while there is no km-scale gravitati…
Application of the independent component analysis to the iKAGRA data
KAGRA Collaboration, T. Akutsu, M. Ando +244
We apply the independent component analysis (ICA) to the real data from a gravitational wave detector for the first time. Specifically we use the iKAGRA data taken in April 2016, a…
Comparison of various methods to extract ringdown frequency from gravitational wave data
Hiroyuki Nakano, Tatsuya Narikawa, Ken-ichi Oohara +7
The ringdown part of gravitational waves in the final stage of merger of compact objects tells us the nature of strong gravity which can be used for testing the theories of gravity…
Improving the absolute accuracy of the gravitational wave detectors by combining the photon pressure and gravity field calibrators
Yuki Inoue, Sadakazu Haino, Nobuyuki Kanda +5
The absolute accuracy of the estimated parameters of gravitational wave sources will be fundamentally limited by the calibration uncertainties of the detectors in upcoming observat…