Extracting latent representations from X-ray spectra. Classification, regression, and accretion signatures of Chandra sources

In three linesTransformer autoencoder compresses Chandra X-ray spectra into 8D latent representation. Classification of 8 astrophysical source types: ~40% balanced accuracy overall, ~69% on AGN/compact objects. Latent features correlate with spectral and temporal properties, capturing physical information as effectively as hand-engineered features.

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