Reducción de ruido por medio de autoencoders: caso de estudio con la señal GW150914
arXiv:2510.00873v1h-index: 1
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This addresses noise reduction in gravitational wave analysis, but it is incremental as it uses a pre-existing autoencoder on new data.
The study applied autoencoders to enhance low-amplitude gravitational signals like GW150914, achieving a significant increase in signal-to-noise ratio.
This brief study focuses on the application of autoencoders to improve the quality of low-amplitude signals, such as gravitational events. A pre-existing autoencoder was trained using cosmic event data, optimizing its architecture and parameters. The results show a significant increase in the signal-to-noise ratio of the processed signals, demonstrating the potential of autoencoders in the analysis of small signals with multiple sources of interference.