3D multi-system Bayesian calibration with energy conservation to study rapidity-dependent dynamics of nuclear collisions
A Mankolli - EPJ Web of Conferences, 2024 - epj-conferences.org
A Mankolli
EPJ Web of Conferences, 2024•epj-conferences.orgConsiderable 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 …
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 …
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.
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