Applicatioin of Machine Learning Techniques on Gravitatioinal Wave Detection in O4 Run

Chou Chia-Jui^1*

¹Department of Electrophysics, National Yang Ming Chiao Tung University, Hsinchu City, Taiwan

* Presenter:Chou Chia-Jui, email:agoodmanjerry@gmail.com

The computation cost of the detection and data analysis of Gravitaional Waves is heavy and keeps increasing as we obtain more observatioin data. Machine Learning techniques may bring efficient solutions in various ways including the noise subtraction, low-latency detection, parameter estimation, etc. The next joint observation of the gravitational wave detectors LIGO, Virgo, KAGRA, i.e. O4 run will start in March 2023. We participate the International Machine Learning for Gravitational Waves (IML4GW) collaboration fromed by the LVK members and the related machine-learning-based researches and applications in LIGO and KAGRA during O4 will be introduced in the talk.

Keywords: Gravitational Waves, Machine Learning