A non-equilibrium picture of the chemical freeze-out in hadronic thermal models
Leonardo P. G. De Assis, Sergio B. Duarte, Marcelo Chiapparini,, Luciana R. Hirsch, Antonio Delfino

TL;DR
This paper introduces a non-equilibrium extension to thermal models in heavy ion collisions, using two effective temperatures for baryonic and mesonic sectors, improving data fitting and understanding of system evolution.
Contribution
It presents a novel non-equilibrium thermal model with separate temperatures for baryons and mesons, enhancing data description and theoretical insights.
Findings
Good fit to particle ratio data
Accurate description of temperature and potential energy trends
Improved understanding of chemical freeze-out dynamics
Abstract
Thermal models have proven to be an useful and simple tool used to make theoretical predictions and data analysis in relativistic and ultra-relativistic heavy ion collisions. A new version of these models is presented here, incorporating a non equilibrium feature to the description of the intermediate fireball state formed at the chemical freeze-out. Two different effective temperatures are attributed to the expanding fireball, regarding its baryonic and mesonic sectors. The proposal is not merely to include an additional degree of freedom to reach a better adjustment to the data, but to open a room in the model conception for considerations on the non-equilibrium scenario of the system evolution. A set of well consolidated data for particles production is used to validated the reformulated version of thermal models presented here. A rather good performance of the extended version was…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsHigh-Energy Particle Collisions Research · Cosmology and Gravitation Theories · Stochastic processes and statistical mechanics
