AI RESEARCH
Self-Supervised ConvLSTM for Fermi Large Area Telescope Transient Detection
arXiv CS.LG
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ArXi:2605.22112v1 Announce Type: cross We present a framework for detecting transient gamma-ray phenomena in a controlled environment by combining end-to-end simulations of the Fermi-LAT sky with self-supervised spatio-temporal deep learning. We generate a ten-year synthetic Universe with gtobssim and process the simulated events into daily all-sky maps of counts and exposure, obtaining a time-ordered sequence that mirrors the structure of Fermi-LAT observations.