24 citations · 67 across the 4 of their papers we have counts for
4 papers
Deep Learning-based Search for Microlensing Signature from Binary Black Hole Events in GWTC-1 and -2
Kyungmin Kim, Joongoo Lee, Otto A. Hannuksela +1
We present the result of the first deep learning-based search for the signature of microlensing in gravitational waves. This search seeks the signature induced by lenses with masse…
Estimation of Photometric Redshifts. I. Machine Learning Inference for Pan-STARRS1 Galaxies Using Neural Networks
Joongoo Lee, Min-Su Shin
We present a new machine learning model for estimating photometric redshifts with improved accuracy for galaxies in Pan-STARRS1 data release 1. Depending on the estimation range of…
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…
Identification of Lensed Gravitational Waves with Deep Learning
Kyungmin Kim, Joongoo Lee, Robin S. H. Yuen +2
Similar to light, gravitational waves (GWs) can be lensed. Such lensing phenomena can magnify the waves, create multiple images observable as repeated events, and superpose several…