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Author

Jesús Cid-Sueiro

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Open access Jul 2026

Unsupervised sifting of XMM-Newton EPIC observations using Variational Autoencoders

A novel unsupervised framework based on Variational Autoencoders (VAEs) to automatically sift through the XSA, which provides a scalable screening tool for multi-band light curves generated by the EPIC-pn Pipeline Processing System (PPS).

M. A. Vázquez, Jesús Cid-Sueiro, J. López-Santiago · 0 citations

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