Simultaneous CTEQ-TEA extraction of PDFs and SMEFT parameters from jet and $$ t\overline{t} $$ data

A bstract Recasting phenomenological Lagrangians in terms of SM effective field theory (SMEFT) provides a valuable means connecting potential BSM physics at momenta well above the electroweak scale to experimental signatures lower energies. In this work we jointly fit Wilson coefficients SMEFT operators as PDFs an extension CT18 global analysis framework, obtaining self-consistent constraints possible effects. Global fits are boosted with machine-learning techniques form neural networks ensure efficient scans full PDF+SMEFT parameter space. We focus on several relevant for top-quark pair and jet production hadron colliders obtain Lagrange Multiplier scans. find mild correlations between extracted coefficients, PDFs, other QCD parameters, see indications that these may become more prominent future analyses based data higher precision. This serves new platform joint CTEQ-TEA framework.