HAL (France)
open access
Beyond traditional emission-line diagnostics: Using autoencoders to uncover active galactic nuclei in DESI spectra
Context. The growing volume of spectroscopic data in modern surveys motivates the development of data-driven approaches that complement traditional emission-line diagnostics for the identification of active galactic nuclei (AGNs).Aims. We develop and validate a machine-learning (ML) framework for ga
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