2 papers
astro-ph.IM2026
Nonlinear Independent Component Analysis Scheme and its application to gravitational wave data analysis
Jun'ya Kume, Koh Ueno, Tatsuki Washimi +3
Noise subtraction is a crucial process in gravitational wave (GW) data analysis to improve the sensitivity of interferometric detectors. While linear noise coupling has been extens…
astro-ph.IM2025
Enhancing the reliability of machine learning for gravitational wave parameter estimation with attention-based models
Hibiki Iwanaga, Mahoro Matsuyama, Yousuke Itoh
We introduce a technique to enhance the reliability of gravitational wave parameter estimation results produced by machine learning. We develop two independent machine learning mod…