Publication: Classification of noise sources in LIGO gravitational wave observations using deep neural networks and model explainability analysis
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2021
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2021-02
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Abstract
This document uses state of the art image classification techniques to automate the detection
of noise sources in gravitational wave observations from the Laser Interferometer
Gravitational-Wave Observatory (LIGO). Additionally, it analyzes the resulting model using
post-hoc local interpretation methodologies with the intent of defining possible paths
of improvement.
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Redes neuronales, Análisis de datos