AI RESEARCH

Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising

arXiv CS.AI

ArXi:2602.17205v2 Announce Type: replace-cross The detection limit of astronomical imaging observations is limited by several noise sources. Some of that noise is correlated between neighbouring image pixels and exposures, so in principle could be learned and corrected. We present an astronomical self-supervised transformer-based denoising algorithm (ASTERIS), that integrates spatiotemporal information across multiple exposures.