Automated Extraction of Collins-Soper Kernel from Lattice QCD using An Autonomous AI Physicist System
This paper demonstrates that the autonomous AI system PhysMaster can fully automate the complex, multi-step extraction of the Collins-Soper kernel from Lattice QCD data, reducing the workflow duration from months to hours while achieving precision consistent with state-of-the-art traditional methods and stabilizing signals at large transverse separations.