Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison

  title={Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison},
  author={Jonah Bernhard and Peter William Marcy and Christopher E. Coleman-Smith and Snehalata V. Huzurbazar and Robert L. Wolpert and Steffen A. Bass},
  journal={Physical Review C},
We systematically compare an event-by-event heavy-ion collision model to data from the CERN Large Hadron Collider. Using a general Bayesian method, we probe multiple model parameters including fundamental quark-gluon plasma properties such as the specific shear viscosity η/s, calibrate the model to optimally reproduce experimental data, and extract quantitative constraints for all parameters simultaneously. Furthermore, the method is universal and easily extensible to other data and collision… 
Probing Quark-Gluon-Plasma properties with a Bayesian model-to-data comparison
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Determining the jet transport coefficient $\hat{q}$ of the quark-gluon plasma using Bayesian parameter estimation
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Data-driven analysis for the temperature and momentum dependence of the heavy-quark diffusion coefficient in relativistic heavy-ion collisions
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“A and B”:
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