An autoencoder neural network integrated into gravitational-wave burst searches to improve the rejection of noise transients
Sign Up to like & getrecommendations! Published in 2023 at "Classical and Quantum Gravity"
DOI: 10.1088/1361-6382/acd981
Abstract: The gravitational-wave (GW) detector data are affected by short-lived instrumental or terrestrial transients, called ‘glitches’, which can simulate GW signals. Mitigation of glitches is particularly difficult for algorithms which target generic sources of short-duration GW… read more here.
Keywords: neural network; noise; autoencoder neural; gravitational wave ... See more keywords