A probabilistic denoising model recovers spectral features from Poisson-noisy 3D ARPES data at 0.02 electrons per voxel and propagates uncertainties into superconducting gap fits for cuprate superconductors.
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Probabilistic denoising for reliable signal extraction in spectroscopy
A probabilistic denoising model recovers spectral features from Poisson-noisy 3D ARPES data at 0.02 electrons per voxel and propagates uncertainties into superconducting gap fits for cuprate superconductors.