Equilibrium Statistical-Thermal Models in High-Energy Physics
Abdel Nasser Tawfik (Egyptian Ctr. Theor. Phys., Cairo, WLCAPP, Cairo)

TL;DR
This paper reviews the development and application of statistical-thermal models in high-energy physics, highlighting their success in describing particle yields, fluctuations, and lattice QCD thermodynamics over the past decade.
Contribution
It provides a comprehensive overview of the historical evolution, theoretical foundations, and recent advancements of statistical-thermal models in heavy-ion physics and lattice QCD.
Findings
Evidence for chemical equilibrium in particle yields
Statistical models successfully reproduce lattice QCD thermodynamics
Universal conditions describe chemical freeze-out parameters
Abstract
We review some recent highlights from the applications of statistical-thermal models to different experimental measurements and lattice QCD thermodynamics, that have been made during the last decade. We start with a short review of the historical milestones on the path of constructing statistical-thermal models for heavy-ion physics. We discovered that Heinz Koppe formulated in 1948 an almost complete recipe for the statistical-thermal models. In 1950, Enrico Fermi generalized this statistical approach, in which he started with a general cross-section formula and inserted into it simplifying assumptions about the matrix element of the interaction process that likely reflects many features of the high-energy reactions dominated by density in the phase space of final states. In 1964, Hagedorn systematically analysed the high-energy phenomena using all tools of statistical physics and…
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.
