Differentiable forward modeling in a Bayesian framework infers cosmic shear from simulated galaxy images with multiplicative bias below 1.3e-3, meeting LSST requirements, while achieving 0.45 seconds per galaxy on GPU.
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Differentiable Forward Modeling for Efficient and Accurate Shear Inference
Differentiable forward modeling in a Bayesian framework infers cosmic shear from simulated galaxy images with multiplicative bias below 1.3e-3, meeting LSST requirements, while achieving 0.45 seconds per galaxy on GPU.