The OPCC observable is IRC finite and factorizes into the Sivers distribution plus a perturbatively calculable charge-weighted jet function, eliminating dependence on non-perturbative fragmentation functions via charge conservation.
Andreevet al., Phys
4 Pith papers cite this work. Polarity classification is still indexing.
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hep-ph 4years
2026 4representative citing papers
FALCON is a novel conformal prediction technique that learns locally calibrated confidence intervals for neural network surrogates modeling LHC scattering amplitudes.
RANs generalize moment unfolding to full phase-space unbinned unfolding via detector-level Wasserstein critics without requiring support overlap or multiple iterations.
Computes maximum phase-space density of linearly polarized gluon TMD h1^⊥g as ~2 α_s^{-3/2} (dipole) in saturation using Mueller occupancy and prior WW/dipole distributions, with numerical Collins-Soper study.
citing papers explorer
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Sivers Tomography from Charge and Angle Only
The OPCC observable is IRC finite and factorizes into the Sivers distribution plus a perturbatively calculable charge-weighted jet function, eliminating dependence on non-perturbative fragmentation functions via charge conservation.
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Local Conformal Predictions for Calibrated Surrogates
FALCON is a novel conformal prediction technique that learns locally calibrated confidence intervals for neural network surrogates modeling LHC scattering amplitudes.
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Reweighting Adversarial Networks for Unbinned Unfolding
RANs generalize moment unfolding to full phase-space unbinned unfolding via detector-level Wasserstein critics without requiring support overlap or multiple iterations.
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Maximum phase-space density of linearly polarized gluon TMDs in the saturation region
Computes maximum phase-space density of linearly polarized gluon TMD h1^⊥g as ~2 α_s^{-3/2} (dipole) in saturation using Mueller occupancy and prior WW/dipole distributions, with numerical Collins-Soper study.