Generative Diffusion Priors for 3D Mapping of the Dark Universe
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. Existing methods either produce point estimates with handcrafted priors or use neural ensembles for approximate Bayesian uncertainty, and struggle to capture the non-Gaussian, filamentary structure of the cosmic web. With the advent of new high-resolution cosmological simu...
| Authors | Brandon Zhao, Diana Scognamiglio, Olivier Doré et al. |
|---|---|
| Primary category | astro-ph.CO |
| Published | 30 May 2026 |
| Last updated at source | 30 May 2026 |
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