Gluon Saturation and QGP Unified Analysis of Data

Objective

GSQUAD unifies the study of cold and hot QCD matter by integrating deep inelastic scattering, ultra-peripheral collision, and heavy-ion collision data into a single Bayesian framework. Leveraging the Color Glass Condensate effective theory and JIMWLK evolution, it will simultaneously constrain nucleon structure, small-x gluon dynamics, and quark-gluon plasma (QGP) transport properties. Novel Bayesian reweighting techniques and global inference will propagate uncertainties consistently across observables, connecting nuclear structure to the properties of the QGP. The project will also develop an open-source computational framework to support reproducible simulations and predictions for current LHC measurements and future Electron-Ion Collider experiments. By bridging cold and hot QCD physics, GSQUAD provides a pioneering, data-driven approach that simultaneously uncovers gluon saturation and determines fundamental transport properties of the quark–gluon plasma.