Monte-Carlo statistical hadronization in relativistic heavy-ion collisions
Radoslaw Ryblewski

TL;DR
This paper introduces the statistical hadronization approach for particle production in relativistic heavy-ion collisions, discussing its integration with fluid dynamics models and demonstrating its application through the THERMINATOR Monte-Carlo generator.
Contribution
It presents a comprehensive overview of the statistical hadronization method and its practical implementation in modeling hadron emission at freeze-out.
Findings
Effective modeling of hadron emission at freeze-out
Application of THERMINATOR Monte-Carlo generator
Insights into particle production mechanisms
Abstract
A brief introduction to the statistical hadronization approach to particle production in relativistic heavy-ion collisions is given. In the context of fluid dynamics modeling various aspects of hadron emission at the freeze-out are discussed. Practical applications of the presented concepts are presented within the THERMINATOR Monte-Carlo hadron generator.
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 · Stochastic processes and statistical mechanics · Image Processing and 3D Reconstruction
