Speaker
Description
The chiral magnetic effect (CME) provides a unique probe of anomalous chiral transport in the quark-gluon plasma, while its quantitative extraction remains challenging due to substantial background contributions and uncertainties in the underlying dynamics. In this work, we develop a data-driven framework combining event-by-event Anomalous-Viscous Fluid Dynamics (AVFD) simulations with Bayesian and simulation-based inference to constrain the local charge conservation background, magnetic-field lifetime, and initial chiral imbalance from experimental charge-dependent correlations. Both inference approaches consistently reproduce the experimental observables and yield compatible parameter constraints. We find that the local charge conservation background is well constrained, whereas the magnetic-field lifetime and chiral imbalance exhibit a pronounced degeneracy, with current data providing a stronger constraint on their combined contribution to the CME signal. Our results demonstrate the potential of data-driven inference for quantitatively constraining anomalous chiral transport in heavy-ion collisions.
