115 citations · 653 across the 36 of their papers we have counts for
36 papers
A superconducting tensor detector for mid-frequency gravitational waves: its multi-channel nature and main astrophysical targets
Yeong-Bok Bae, Chan Park, Edwin J. Son +13
Mid-frequency band gravitational-wave detectors will be complementary for the existing Earth-based detectors (sensitive above 10 Hz or so) and the future space-based detectors such…
Low-Frequency Noise Mitigation and Bandgap Engineering using Seismic Metamaterials for Terrestrial Gravitational Wave Observatories
John J. Oh
Gravitational-wave now became one of the important observational methods for studying the Universe since its first detection. However, the ground-based observatories have an inhere…
Identifying multichannel coherent couplings and causal relationships in gravitational wave detectors
Piljong Jung, Sang Hoon Oh, Young-Min Kim +4
The gravitational-wave detector is a complex and sensitive collection of advanced instruments that are impacted not only by mechanical/electronics systems but also by the surroundi…
Optimizing Parameters of Information-Theoretic Correlation Measurement for Multi-Channel Time-Series Datasets in Gravitational Wave Detectors
Piljong Jung, Sang Hoon Oh, Young-Min Kim +2
Data analysis in modern science using extensive experimental and observational facilities, such as a gravitational wave detector, is essential in the search for novel scientific di…
Deep Learning Model on Gravitational Waveforms in Merging and Ringdown Phases of Binary Black Hole Coalescences
Joongoo Lee, Sang Hoon Oh, Kyungmin Kim +4
The waveform templates of the matched filtering-based gravitational-wave search ought to cover wide range of parameters for the prosperous detection. Numerical relativity (NR) has…
Generating Event Triggers Based on Hilbert-Huang Transform and Its Application to Gravitational-Wave Data
Edwin J. Son, Whansun Kim, Young-Min Kim +3
We present a new event trigger generator based on the Hilbert-Huang transform, named EtaGen (Gen). It decomposes a time-series data into several adaptive modes without imposing…