A diffusion-model prior learned from simulations is combined with a differentiable weak-lensing forward model to produce improved 3D dark-matter maps and posterior samples whose statistics track the training simulations.
High-resolution weak lensing mass mapping from des-y3 data using diffusion- based prior.arXiv preprint arXiv:2511.14667, 2025
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Machine learning techniques can mitigate limitations in traditional weak-lensing analyses and enhance extraction of cosmological information from galaxy imaging surveys.
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Generative Diffusion Priors for 3D Mapping of the Dark Universe
A diffusion-model prior learned from simulations is combined with a differentiable weak-lensing forward model to produce improved 3D dark-matter maps and posterior samples whose statistics track the training simulations.
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Machine-learning applications for weak-lensing cosmology
Machine learning techniques can mitigate limitations in traditional weak-lensing analyses and enhance extraction of cosmological information from galaxy imaging surveys.