Unsupervised sifting of XMM-Newton EPIC observations using Variational Autoencoders
Finding specific events of interest within the XMM-Newton Science Archive (XSA) is a significant challenge due to the sheer volume of data, which contains over 300,000 source light curves. While the mission provides standardized multi-band products, the vast majority of these time series remain unexplored, and it is...