Issue |
EPJ Web Conf.
Volume 296, 2024
30th International Conference on Ultra-Relativistic Nucleus-Nucleus Collisions (Quark Matter 2023)
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|
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Article Number | 05010 | |
Number of page(s) | 4 | |
Section | Collective Dynamics | |
DOI | https://doi.org/10.1051/epjconf/202429605010 | |
Published online | 26 June 2024 |
https://doi.org/10.1051/epjconf/202429605010
3D multi-system Bayesian calibration with energy conservation to study rapidity-dependent dynamics of nuclear collisions
Department of Physics and Astronomy, Vanderbilt University, Nashville TN 37235
* e-mail: andi.mankolli@vanderbilt.edu
Published online: 26 June 2024
Considerable information about the early-stage dynamics of heavyion collisions is encoded in the rapidity dependence of measurements. To leverage the large amount of experimental data, we perform a systematic analysis using three-dimensional hydrodynamic simulations of multiple collision systems — large and small, symmetric and asymmetric. Specifically, we perform fully 3D multi-stage hydrodynamic simulations initialized by a parameterized model for rapidity-dependent energy deposition, which we calibrate on the hadron multiplicity and anisotropic flow coefficients. We utilize Bayesian inference to constrain properties of the early- and late-time dynamics of the system, and highlight the impact of enforcing global energy conservation in our 3D model.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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