First extraction of gluon TMDs from ATLAS and CMS Higgs q_T distributions at 8 and 13 TeV within TMD factorisation at N3LL accuracy.
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The Collins-Soper kernel is extracted from lattice computations of a vacuum soft function, showing rapidity dependence consistent with Collins-Soper evolution, comparable errors to hadronic methods, and saturation at large transverse separations.
Tree-level and one-loop collinear matching relations are computed for leading-power gluon TMD PDFs, yielding the first Wandzura-Wilczek approximation for the gluon worm-gear T distribution along with a closed-form mass correction series.
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.
citing papers explorer
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A first extraction of gluon TMDs from Higgs data at the LHC
First extraction of gluon TMDs from ATLAS and CMS Higgs q_T distributions at 8 and 13 TeV within TMD factorisation at N3LL accuracy.
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The Collins-Soper kernel from a vacuum soft function
The Collins-Soper kernel is extracted from lattice computations of a vacuum soft function, showing rapidity dependence consistent with Collins-Soper evolution, comparable errors to hadronic methods, and saturation at large transverse separations.
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Collinear matching for leading power gluon transverse momentum distributions
Tree-level and one-loop collinear matching relations are computed for leading-power gluon TMD PDFs, yielding the first Wandzura-Wilczek approximation for the gluon worm-gear T distribution along with a closed-form mass correction series.
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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.