Collinearly improved BK evolution shifts the elliptic node position and alters the rapidity and hard-scale dependence of the coherent dijet cos2φ signal rather than producing a simple normalization change.
BFKL pomeron in the next-to-leading approximation
6 Pith papers cite this work. Polarity classification is still indexing.
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abstract
We find one-loop correction to the integral kernel of the BFKL equation for the total cross section of the high energy scattering in QCD and calculate the next-to-leading contribution to anomalous dimensions of twist-2 operators near $j=1$.
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hep-ph 6representative citing papers
The OMG3Q1.1 framework delivers the first uncertainty-quantified set of fragmentation functions for all-heavy Ω_{3Q} baryons via diquark-inspired inputs, HF-NRevo evolution, and replica-based error estimation.
A conservative BFKL-aware threshold matching scheme is constructed for the NLO forward jet vertex that resums ordinary endpoint logs, preserves NLO accuracy, and is tested against CMS azimuthal observables, showing internal consistency but no simultaneous improvement across all five moments.
Color dipole calculations of the ratio of exclusive vector meson to inclusive jet/hadron photoproduction cross sections in UPC pA and AA collisions at LHC Run 4, including the double ratio R_UPC proposed for saturation studies.
Develops uncertainty-aware fragmentation functions PQ5Q1.1 for all-charm pentaquarks using multimodal perturbative and nonperturbative modeling for collider predictions.
citing papers explorer
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Toward Precision Fragmentation of $\Omega_{3Q}$ Baryons: The OMG3Q1.1 Framework
The OMG3Q1.1 framework delivers the first uncertainty-quantified set of fragmentation functions for all-heavy Ω_{3Q} baryons via diquark-inspired inputs, HF-NRevo evolution, and replica-based error estimation.
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Multimodal Fragmentation of All-Heavy Pentaquarks: Uncertainty-Aware Predictions for Hadron Colliders
Develops uncertainty-aware fragmentation functions PQ5Q1.1 for all-charm pentaquarks using multimodal perturbative and nonperturbative modeling for collider predictions.