AI RESEARCH
Generative Diffusion Priors for 3D Mapping of the Dark Universe
arXiv CS.LG
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ArXi:2606.00803v1 Announce Type: cross Reconstructing the three-dimensional distribution of dark matter from weak-lensing observations is a central but highly ill-posed inverse problem in cosmology. Unlike standard 3D reconstruction with multiple viewpoints, we observe the universe from a single line of sight, through noisy shape distortions of galaxies with uncertain distances, so meaningful recovery of the 3D matter field requires strong prior assumptions.