Early-times Yang-Mills dynamics and the characterization of strongly interacting matter with statistical learning
arXiv:2306.09619 · doi:10.1103/PhysRevLett.132.252301
Abstract
In ultrarelativistic heavy-ion collisions, a plasma of deconfined quarks and gluons is formed within fm/c of the nuclei's impact. The complex dynamics of the collision before fm/c is often described with parametric models, which affect the predictivity of calculations. In this work, we perform a systematic analysis of LHC measurements from Pb-Pb collisions, by combining an \emph{ab-initio} model of the early stage of the collisions with a hydrodynamic model of the plasma. We obtain state-of-the-art constraints on the shear and bulk viscosity of quark-gluon plasma. We mitigate the additional cost of the ab-initio initial conditions by combining Bayesian model averaging with transfer learning, allowing us to account for important theoretical uncertainties in the hydrodynamics-to-hadron transition. We show that, despite the apparent strong constraints on the shear viscosity, metrics that balance the model's predictivity with its degree of agreement with data do not prefer a temperature-dependent specific shear viscosity over a constant value. We validate the model by comparing with discriminating observables not used in the calibration, finding excellent agreement.
7 pages, 4 figures
References in corpus (15)
- Bayes in the sky: Bayesian inference and model selection in cosmology
- The equation of state in (2+1)-flavor QCD
- Viscosity Information from Relativistic Nuclear Collisions: How Perfect is the Fluid Observed at RHIC?
- Elliptic and triangular flow in event-by-event (3+1)D viscous hydrodynamics
- Alternative ansatz to wounded nucleon and binary collision scaling in high-energy nuclear collisions
- On the Strongly-Interacting Low-Viscosity Matter Created in Relativistic Nuclear Collisions
- Event-by-event gluon multiplicity, energy density and eccentricities at RHIC and LHC
- Transport coefficients for bulk viscous evolution in the relaxation time approximation
- Event-by-event mean fluctuations in pp and Pb-Pb collisions at the LHC
- Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison
- Multi-messenger heavy-ion collision physics
- Constraining the initial state granularity with bulk observables in Au+Au collisions at GeV
- Correlations between flow and transverse momentum in Xe+Xe and Pb+Pb collisions at the LHC with the ATLAS detector: a probe of the heavy-ion initial state and nuclear deformation
- Bayesian quantification of strongly-interacting matter with color glass condensate initial conditions
- Efficient emulation of relativistic heavy ion collisions with transfer learning
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- Quantification of the low- pion excess in heavy-ion collisions at the LHC and top RHIC energy
- Learning Informed Prior Distributions with Normalizing Flows for Bayesian Analysis
- Phenomenological constraints on QCD transport with quantified theory uncertainties
- Neural network enhanced Bayesian global analysis of relativistic heavy ion collisions
- Mode-by-mode evolution of Pb-Pb collisions at 5.02 TeV in a hybrid model
- Quarkonium in a QCD medium with momentum-dependent relaxation time
- Longitudinal Dynamics of Large and Small Systems from a 3D Bayesian Calibration of RHIC Top-energy Collision Data
- Glauber quark and gluon contributions to quark energy loss at next-to-leading order and next-to-leading twist