Exploring the freeze-out hypersurface of relativistic nuclear collisions with a rapidity-dependent thermal model

Abstract

Considering applications to relativistic heavy-ion collisions, we develop a rapidity-dependent thermal model that includes thermal smearing effect and longitudinal boost. We calibrate the model with thermal yields obtained from a multistage hydrodynamic simulation. Through Bayesian analysis, we find that our model extracts freeze-out thermodynamics with better precision than rapidity-independent models. The potential of such a model to constrain longitudinal flow from data is also demonstrated.

Comments: 4 pages, 2 figures. Contribution to the proceedings of Quark Matter 2023 (Houston, TX, 3-9 Sep. 2023)