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
· RAS Techniques and Instrumen... · 0 citations