Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised
Dimensionality Reduction for Clustering Gravitational Wave Glitches
Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised
Dimensionality Reduction for Clustering Gravitational Wave Glitches
The advancement of The Laser Interferometer Gravitational-Wave Observatory (LIGO) has significantly enhanced the feasibility and reliability of gravitational wave detection. However, LIGO's high sensitivity makes it susceptible to transient noises known as glitches, which necessitate effective differentiation from real gravitational wave signals. Traditional approaches predominantly employ fully supervised or semi-supervised …