A nonparametric pixel-based Bayesian method integrates TMD evolution with generative AI sampling and SVD to extract parton distributions and identify unconstrained null components from multi-scale observables.
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Scalar Lambda-pair spin correlations leave a continuous density-matrix degeneracy; full tensor tomography is required to claim entanglement, and a ³P₀ benchmark predicts a specific anisotropy pattern.
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TMDs in the Lens of Generative AI: A Pixel-Based Approach to Partonic Imaging
A nonparametric pixel-based Bayesian method integrates TMD evolution with generative AI sampling and SVD to extract parton distributions and identify unconstrained null components from multi-scale observables.
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Hyperon-pair spin tomography beyond scalar spin correlations
Scalar Lambda-pair spin correlations leave a continuous density-matrix degeneracy; full tensor tomography is required to claim entanglement, and a ³P₀ benchmark predicts a specific anisotropy pattern.