activity
20132022
most citedApplication of machine learning algorithms to the study of noise artifacts in gravitational-wave data

115 citations · 122 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2022★ 4 cited

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…

astro-ph.IM2021

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…

astro-ph.IM2018

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…

gr-qc2018★ 3 cited

Sensing and vetoing loud transient noises for the gravitational-wave detection

Pil-Jong Jung, Keun-Young Kim, Young-Min Kim +3

Since the first detection of gravitational-wave (GW), GW150914, September 14th 2015, the multi-messenger astronomy added a new way of observing the Universe together with electroma…

astro-ph.IM2013★ 115 cited

Application of machine learning algorithms to the study of noise artifacts in gravitational-wave data

Rahul Biswas, Lindy Blackburn, Junwei Cao +13

The sensitivity of searches for astrophysical transients in data from the LIGO is generally limited by the presence of transient, non-Gaussian noise artifacts, which occur at a hig…