Speaker
Description
Most of our experimentally-driven knowledge about the early stages of a heavy-ion collision comes from analysis of measurements made near mid-rapidity. However, much information about the dynamics is encoded in rapidity-dependent behavior, and there exists a large amount of experimental data available to constrain this rapidity dependence. To leverage this information, we perform a systematic model-to-data comparison using three-dimensional hydrodynamic simulations of multiple collision systems --- large and small, symmetric and asymmetric, at different collision energies, from both RHIC and the LHC. Specifically, we perform fully 3D multi-stage hydrodynamic simulations initialized by a parameterized model for rapidity-dependent energy deposition [1] and we calibrate on a range of observables such as hadron multiplicity, anisotropic flow vectors, and mean transverse momentum --- including their rapidity-dependent fluctuations and correlations. We utilize Bayesian inference to constrain properties of the early- and late-time dynamics of the system, and further harness the results to do experimental design and study the effectiveness of various potential measurements (e.g. from upgraded detectors) at improving these constraints.
[1] C. Shen and B. Schenke, “Longitudinal dynamics and particle production in relativistic nuclear collisions,” Phys. Rev. C 105, no.6, 064905 (2022)
[arXiv:2203.04685].
| Category | Theory |
|---|---|
| Collaboration (if applicable) | JETSCAPE Collaboration |
