| Issue |
EPJ Web Conf.
Volume 296, 2024
30th International Conference on Ultra-Relativistic Nucleus-Nucleus Collisions (Quark Matter 2023)
|
|
|---|---|---|
| Article Number | 13010 | |
| Number of page(s) | 4 | |
| Section | New Theory | |
| DOI | https://doi.org/10.1051/epjconf/202429613010 | |
| Published online | 26 June 2024 | |
https://doi.org/10.1051/epjconf/202429613010
Exploring the freeze-out hypersurface of relativistic nuclear collisions with a rapidity-dependent thermal model
Department of Physics, McGill University, 3600 rue University, Montréal, QC, H3A 2T8, Canada
* e-mail: han.gao3@mail.mcgill.ca
** e-mail: lipei.du@mail.mcgill.ca
*** e-mail: sangyong.jeon@mcgill.ca
**** e-mail: charles.gale@mcgill.ca
Published online: 26 June 2024
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.
© The Authors, published by EDP Sciences, 2024
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